;;; GNU Guix --- Functional package management for GNU ;;; Copyright © 2015-2024 Ricardo Wurmus ;;; Copyright © 2016, 2017, 2018, 2020, 2021 Roel Janssen ;;; Copyright © 2016 Pjotr Prins ;;; Copyright © 2016 Ben Woodcroft ;;; Copyright © 2017, 2022 Efraim Flashner ;;; Copyright © 2017, 2018, 2019, 2020, 2021 Tobias Geerinckx-Rice ;;; Copyright © 2019, 2020, 2021, 2022, 2023 Simon Tournier ;;; Copyright © 2020 Peter Lo ;;; Copyright © 2020-2023 Mădălin Ionel Patrașcu ;;; Copyright © 2020 Jakub Kądziołka ;;; Copyright © 2021 Hong Li ;;; Copyright © 2021 Tim Howes ;;; Copyright © 2021 Nicolas Vallet ;;; Copyright © 2023 Navid Afkhami ;;; ;;; This file is part of GNU Guix. ;;; ;;; GNU Guix is free software; you can redistribute it and/or modify it ;;; under the terms of the GNU General Public License as published by ;;; the Free Software Foundation; either version 3 of the License, or (at ;;; your option) any later version. ;;; ;;; GNU Guix is distributed in the hope that it will be useful, but ;;; WITHOUT ANY WARRANTY; without even the implied warranty of ;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ;;; GNU General Public License for more details. ;;; ;;; You should have received a copy of the GNU General Public License ;;; along with GNU Guix. If not, see . (define-module (gnu packages bioconductor) #:use-module ((guix licenses) #:prefix license:) #:use-module (guix packages) #:use-module (guix download) #:use-module (guix gexp) #:use-module (guix git-download) #:use-module (guix build-system r) #:use-module (gnu packages) #:use-module (gnu packages algebra) #:use-module (gnu packages autotools) #:use-module (gnu packages base) #:use-module (gnu packages bioinformatics) #:use-module (gnu packages boost) #:use-module (gnu packages chemistry) #:use-module (gnu packages cran) #:use-module (gnu packages compression) #:use-module (gnu packages curl) #:use-module (gnu packages docker) #:use-module (gnu packages gcc) #:use-module (gnu packages graph) #:use-module (gnu packages graphviz) #:use-module (gnu packages haskell-xyz) #:use-module (gnu packages image) #:use-module (gnu packages java) #:use-module (gnu packages javascript) #:use-module (gnu packages maths) #:use-module (gnu packages ncurses) #:use-module (gnu packages netpbm) #:use-module (gnu packages python) #:use-module (gnu packages perl) #:use-module (gnu packages pkg-config) #:use-module (gnu packages protobuf) #:use-module (gnu packages statistics) #:use-module (gnu packages tls) #:use-module (gnu packages web) #:use-module (gnu packages xml) #:use-module ((srfi srfi-1) #:hide (zip))) ;;; Annotations (define-public r-bsgenome-hsapiens-ucsc-hg38-masked (package (name "r-bsgenome-hsapiens-ucsc-hg38-masked") (version "1.4.5") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg38.masked" version 'annotation)) (sha256 (base32 "0j71hdxqvvc0s8mc6jp6zk502mrf095qazj95yzzb4rm6sjvd20m")))) (properties `((upstream-name . "BSgenome.Hsapiens.UCSC.hg38.masked"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg38 r-genomeinfodb)) (home-page "https://bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg38.masked") (synopsis "Full masked genomic sequences for Homo sapiens (UCSC version hg38)") (description "This package provides the complete genome sequences for Homo sapiens as provided by UCSC (genome hg38, based on assembly GRCh38.p14 since 2023/01/31). The sequences are the same as in BSgenome.Hsapiens.UCSC.hg38, except that each of them has the 4 following masks on top: @enumerate @item the mask of assembly gaps (AGAPS mask); @item the mask of intra-contig ambiguities (AMB mask); @item the mask of repeats from @code{RepeatMasker} (RM mask); @item the mask of repeats from Tandem Repeats Finder (TRF mask). @end enumerate Only the AGAPS and AMB masks are \"active\" by default. The sequences are stored in @code{MaskedDNAString} objects.") (license license:artistic2.0))) (define-public r-ensdb-hsapiens-v79 (package (name "r-ensdb-hsapiens-v79") (version "2.99.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EnsDb.Hsapiens.v79" version 'annotation)) (sha256 (base32 "0k94iml0417m3k086d0bzd83fndyb2kn7pimsfzcdmafgy6sxwgg")))) (properties `((upstream-name . "EnsDb.Hsapiens.v79"))) (build-system r-build-system) (propagated-inputs (list r-ensembldb)) (home-page "https://bioconductor.org/packages/EnsDb.Hsapiens.v79") (synopsis "Ensembl based annotation package") (description "This package exposes an annotation database generated from Ensembl.") (license license:artistic2.0))) (define-public r-hpo-db (package (name "r-hpo-db") (version "0.99.2") (source (origin (method url-fetch) (uri (bioconductor-uri "HPO.db" version 'annotation)) (sha256 (base32 "1brzrnafvyh76h8a663gk5lprhixxpi9xi65vwgxwf7jh6yw0was")))) (properties `((upstream-name . "HPO.db"))) (build-system r-build-system) (arguments (list #:phases #~(modify-phases %standard-phases (add-after 'unpack 'avoid-internet-access (lambda* (#:key inputs #:allow-other-keys) (let* ((cache (string-append #$output "/share/HPO.db/cache")) (file (string-append cache "/118333"))) (mkdir-p cache) (copy-file #$(this-package-native-input "HPO.sqlite") file) (substitute* "R/zzz.R" (("ah <- suppressMessages\\(AnnotationHub\\(\\)\\)" m) (string-append "if (Sys.getenv(\"NIX_BUILD_TOP\") == \"\") { " m " };")) (("dbfile <- ah.*" m) (string-append "if (Sys.getenv(\"NIX_BUILD_TOP\") != \"\") { dbfile <- \"" file "\";} else { " m " }\n"))))))))) (propagated-inputs (list r-annotationdbi r-annotationhub r-biocfilecache r-dbi)) (native-inputs `(("r-knitr" ,r-knitr) ("HPO.sqlite" ,(origin (method url-fetch) (uri "https://annotationhub.bioconductor.org/fetch/118333") (file-name "HPO.sqlite") (sha256 (base32 "1wwdwf27iil0p41183qgygh2ifphhmlljjkgjm2h8sr25qycf0md")))))) (home-page "https://bioconductor.org/packages/HPO.db") (synopsis "Annotation maps describing the entire Human Phenotype Ontology") (description "Human Phenotype Ontology (HPO) was developed to create a consistent description of gene products with disease perspectives, and is essential for supporting functional genomics in disease context. Accurate disease descriptions can discover new relationships between genes and disease, and new functions for previous uncharacteried genes and alleles.") (license license:artistic2.0))) (define-public r-jaspar2020 (package (name "r-jaspar2020") (version "0.99.10") (source (origin (method url-fetch) (uri (bioconductor-uri "JASPAR2020" version 'annotation)) (sha256 (base32 "0nrp63z7q2ivv5h87f7inpp2qll2dfgj4227l4rbnzii38a2vfdr")))) (properties `((upstream-name . "JASPAR2020"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://jaspar.elixir.no/") (synopsis "Data package for JASPAR database (version 2020)") (description "Data package for JASPAR2020. To explore these databases, utilize the TFBSTools package (version 1.23.1 or higher).") (license license:gpl2))) (define-public r-mafh5-gnomad-v3-1-2-grch38 (package (name "r-mafh5-gnomad-v3-1-2-grch38") (version "3.15.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MafH5.gnomAD.v3.1.2.GRCh38" version 'annotation)) (sha256 (base32 "18hzw7f41ii16qpm3ch516b773900l1m1id5z6a763m01fg0mhiq")))) (properties `((upstream-name . "MafH5.gnomAD.v3.1.2.GRCh38"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-genomeinfodb r-genomicranges r-genomicscores r-hdf5array r-iranges r-rhdf5 r-s4vectors)) (home-page "https://bioconductor.org/packages/MafH5.gnomAD.v3.1.2.GRCh38") (synopsis "Minor allele frequency data from gnomAD version 3.1.2 for GRCh38") (description "This package is designed to store minor allele frequency data. It retrieves this data from the Genome Aggregation Database (@code{gnomAD} version 3.1.2) for the human genome version GRCh38.") (license license:artistic2.0))) (define-public r-mpo-db (package (name "r-mpo-db") (version "0.99.7") (source (origin (method url-fetch) (uri (bioconductor-uri "MPO.db" version 'annotation)) (sha256 (base32 "0x1rcikg189akbd71yh0p02482km9hry6i69s2srdf5mlgqficvl")))) (properties `((upstream-name . "MPO.db"))) (build-system r-build-system) (arguments (list #:phases #~(modify-phases %standard-phases (add-after 'unpack 'avoid-internet-access (lambda* (#:key inputs #:allow-other-keys) (let* ((cache (string-append #$output "/share/MPO.db/cache")) (file (string-append cache "/118299"))) (mkdir-p cache) (copy-file #$(this-package-native-input "MPO.sqlite") file) (substitute* "R/zzz.R" (("ah <- suppressMessages\\(AnnotationHub\\(\\)\\)" m) (string-append "if (Sys.getenv(\"NIX_BUILD_TOP\") == \"\") { " m " };")) (("dbfile <- ah.*" m) (string-append "if (Sys.getenv(\"NIX_BUILD_TOP\") != \"\") { dbfile <- \"" file "\";} else { " m " }\n"))))))))) (propagated-inputs (list r-annotationdbi r-annotationhub r-biocfilecache r-dbi)) (native-inputs `(("r-knitr" ,r-knitr) ("MPO.sqlite" ,(origin (method url-fetch) (uri "https://annotationhub.bioconductor.org/fetch/118299") (file-name "MPO.sqlite") (sha256 (base32 "12rf5dpnjrpw55bgnbn68dni2g0p87nvs9c7mamqk0ayafs61zl0")))))) (home-page "https://github.com/YuLab-SMU/MPO.db") (synopsis "set of annotation maps describing the Mouse Phenotype Ontology") (description "This is the human disease ontology R package HDO.db, which provides the semantic relationship between human diseases. Relying on the DOSE and GO@code{SemSim} packages, this package can carry out disease enrichment and semantic similarity analyses. Many biological studies are achieved through mouse models, and a large number of data indicate the association between genotypes and phenotypes or diseases. The study of model organisms can be transformed into useful knowledge about normal human biology and disease to facilitate treatment and early screening for diseases. Organism-specific genotype-phenotypic associations can be applied to cross-species phenotypic studies to clarify previously unknown phenotypic connections in other species. Using the same principle to diseases can identify genetic associations and even help to identify disease associations that are not obvious.") (license license:artistic2.0))) (define-public r-org-eck12-eg-db (package (name "r-org-eck12-eg-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.EcK12.eg.db" version 'annotation)) (sha256 (base32 "12lqv06n49lwczv5l4h5h6lbfbcqyg9j4csffcdx495scmhc06mc")))) (properties `((upstream-name . "org.EcK12.eg.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://bioconductor.org/packages/org.EcK12.eg.db") (synopsis "Genome wide annotation for E coli strain K12") (description "This package provides genome wide annotation for E coli strain K12, primarily based on mapping using Entrez Gene identifiers. Entrez Gene is National Center for Biotechnology Information (NCBI)’s database for gene-specific information. Entrez Gene maintains records from genomes which have been completely sequenced, which have an active research community to submit gene-specific information, or which are scheduled for intense sequence analysis.") (license license:artistic2.0))) (define-public r-org-bt-eg-db (package (name "r-org-bt-eg-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.Bt.eg.db" version 'annotation)) (sha256 (base32 "0fgrpjfrsw837ay9cq3wd6gp6sxvwjc7r9spfs4m89vqs2xb0bfc")))) (properties `((upstream-name . "org.Bt.eg.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://bioconductor.org/packages/org.Bt.eg.db") (synopsis "Genome wide annotation for Bovine") (description "This package provides genome wide annotations for Bovine, primarily based on mapping using Entrez Gene identifiers.") (license license:artistic2.0))) (define-public r-org-sc-sgd-db (package (name "r-org-sc-sgd-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.Sc.sgd.db" version 'annotation)) (sha256 (base32 "15ngfqimrjpn2fxzngj5m3pvqivbq65010qdx33xs32ax48z6p2r")))) (properties `((upstream-name . "org.Sc.sgd.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://bioconductor.org/packages/org.Sc.sgd.db") (synopsis "Genome wide annotation for Yeast") (description "This package provides genome wide annotation for Yeast, primarily based on mapping using ORF identifiers from @acronym{SGD, Saccharomyces Genome Database}.") (license license:artistic2.0))) (define-public r-pd-mapping50k-xba240 (package (name "r-pd-mapping50k-xba240") (version "3.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pd.mapping50k.xba240" version 'annotation)) (sha256 (base32 "1a1f3lh5ywhyjawdbj2fzban85c8jz70lfcv3pagd5piincjwxq8")))) (properties `((upstream-name . "pd.mapping50k.xba240"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-dbi r-iranges r-oligo r-oligoclasses r-rsqlite r-s4vectors)) (home-page "https://bioconductor.org/packages/pd.mapping50k.xba240") (synopsis "Platform design info for Affymetrix Mapping50K_Xba240") (description "This package provides platform design info for Affymetrix Mapping50K_Xba240 (pd.mapping50k.xba240).") (license license:artistic2.0))) (define-public r-reactome-db (package (name "r-reactome-db") (version "1.86.2") (source (origin (method url-fetch) (uri (bioconductor-uri "reactome.db" version 'annotation)) (sha256 (base32 "02p8ihds0hpcfj5mib0ifql9404svlavfyj36c15jzmbci0rnc8c")))) (properties `((upstream-name . "reactome.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://bioconductor.org/packages/reactome.db/") (synopsis "Annotation maps for reactome") (description "This package provides a set of annotation maps for the REACTOME database, assembled using data from REACTOME.") (license license:cc-by4.0))) (define-public r-bsgenome-btaurus-ucsc-bostau8 (package (name "r-bsgenome-btaurus-ucsc-bostau8") (version "1.4.2") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Btaurus.UCSC.bosTau8" version 'annotation)) (sha256 (base32 "16wjy1aw9nvx03r7w8yh5w7sw3pn8i9nczd0n0728l6nnyqxlsz6")))) (properties `((upstream-name . "BSgenome.Btaurus.UCSC.bosTau8"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Btaurus.UCSC.bosTau8/") (synopsis "Full genome sequences for Bos taurus (UCSC version bosTau8)") (description "This package provides the full genome sequences for Bos taurus (UCSC version bosTau8).") (license license:artistic2.0))) (define-public r-bsgenome-celegans-ucsc-ce6 (package (name "r-bsgenome-celegans-ucsc-ce6") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Celegans.UCSC.ce6" version 'annotation)) (sha256 (base32 "0mqzb353xv2c3m3vkb315dkmnxkgczp7ndnknyhpgjlybyf715v9")))) (properties `((upstream-name . "BSgenome.Celegans.UCSC.ce6"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Celegans.UCSC.ce6/") (synopsis "Full genome sequences for Worm") (description "This package provides full genome sequences for Caenorhabditis elegans (Worm) as provided by UCSC (ce6, May 2008) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-celegans-ucsc-ce10 (package (name "r-bsgenome-celegans-ucsc-ce10") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Celegans.UCSC.ce10" version 'annotation)) (sha256 (base32 "1zaym97jk4npxk14ifvwz2rvhm4zx9xgs33r9vvx9rlynp0gydrk")))) (properties `((upstream-name . "BSgenome.Celegans.UCSC.ce10"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Celegans.UCSC.ce10/") (synopsis "Full genome sequences for Worm") (description "This package provides full genome sequences for Caenorhabditis elegans (Worm) as provided by UCSC (ce10, Oct 2010) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-dmelanogaster-ucsc-dm6 (package (name "r-bsgenome-dmelanogaster-ucsc-dm6") (version "1.4.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm6" version 'annotation)) (sha256 (base32 "1bhj0rdgf7lspw4xby9y9mf7v7jxxz8001bc8vw8kf04rjsx6060")))) (properties `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm6"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm6/") (synopsis "Full genome sequences for Fly") (description "This package provides full genome sequences for Drosophila melanogaster (Fly) as provided by UCSC (dm6) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-dmelanogaster-ucsc-dm3 (package (name "r-bsgenome-dmelanogaster-ucsc-dm3") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm3" version 'annotation)) (sha256 (base32 "19bm3lkhhkag3gnwp419211fh0cnr0x6fa0r1lr0ycwrikxdxsv8")))) (properties `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm3"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm3/") (synopsis "Full genome sequences for Fly") (description "This package provides full genome sequences for Drosophila melanogaster (Fly) as provided by UCSC (dm3, April 2006) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-dmelanogaster-ucsc-dm3-masked (package (name "r-bsgenome-dmelanogaster-ucsc-dm3-masked") (version "1.3.99") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm3.masked" version 'annotation)) (sha256 (base32 "1756csb09f1br9rj1l3f08qyh4hlymdbd0cfn8x3fq39dn45m5ap")))) (properties `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm3.masked"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-bsgenome-dmelanogaster-ucsc-dm3)) (home-page "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm3.masked/") (synopsis "Full masked genome sequences for Fly") (description "This package provides full masked genome sequences for Drosophila melanogaster (Fly) as provided by UCSC (dm3, April 2006) and stored in Biostrings objects. The sequences are the same as in BSgenome.Dmelanogaster.UCSC.dm3, except that each of them has the 4 following masks on top: (1) the mask of assembly gaps (AGAPS mask), (2) the mask of intra-contig ambiguities (AMB mask), (3) the mask of repeats from RepeatMasker (RM mask), and (4) the mask of repeats from Tandem Repeats Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by default.") (license license:artistic2.0))) (define-public r-bsgenome-drerio-ucsc-danrer11 (package (name "r-bsgenome-drerio-ucsc-danrer11") (version "1.4.2") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Drerio.UCSC.danRer11" version 'annotation)) (sha256 (base32 "08a928mqzv2jxngjcs4yr6ni1b9z9al6jdngwi438j8hm41cwk4v")))) (properties `((upstream-name . "BSgenome.Drerio.UCSC.danRer11"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://bioconductor.org/packages/BSgenome.Drerio.UCSC.danRer11") (synopsis "Full genome sequences for Danio rerio (UCSC version danRer11)") (description "This package provides full genome sequences for Danio rerio (Zebrafish) as provided by UCSC (danRer11, May 2017) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-ecoli-ncbi-20080805 (package (name "r-bsgenome-ecoli-ncbi-20080805") (version "1.3.1000") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Ecoli.NCBI.20080805" version 'annotation)) (sha256 (base32 "1l7mjyys1kaq4mbia9jamyw6sd0ij1wypwxvwy8aksan3gcfnh27")))) (properties `((upstream-name . "BSgenome.Ecoli.NCBI.20080805"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://bioconductor.org/packages/BSgenome.Ecoli.NCBI.20080805") (synopsis "Escherichia coli full genomes") (description "This package provides Escherichia coli full genomes for several strains as provided by NCBI on 2008/08/05 and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-hsapiens-1000genomes-hs37d5 (package (name "r-bsgenome-hsapiens-1000genomes-hs37d5") (version "0.99.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Hsapiens.1000genomes.hs37d5" version 'annotation)) (sha256 (base32 "1cg0g5fqmsvwyw2p9hp2yy4ilk21jkbbrnpgqvb5c36ihjwvc7sr")))) (properties `((upstream-name . "BSgenome.Hsapiens.1000genomes.hs37d5"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Hsapiens.1000genomes.hs37d5/") (synopsis "Full genome sequences for Homo sapiens") (description "This package provides full genome sequences for Homo sapiens from 1000genomes phase2 reference genome sequence (hs37d5), based on NCBI GRCh37.") (license license:artistic2.0))) (define-public r-bsgenome-hsapiens-ncbi-grch38 (package (name "r-bsgenome-hsapiens-ncbi-grch38") (version "1.3.1000") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Hsapiens.NCBI.GRCh38" version 'annotation)) (sha256 (base32 "0y75qdq578fh6420vbvsbwmdw8jvr3g06qli2h3vj3pxmjykh9c1")))) (properties `((upstream-name . "BSgenome.Hsapiens.NCBI.GRCh38"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://bioconductor.org/packages/release/data/annotation/html/\ BSgenome.Hsapiens.NCBI.GRCh38.html") (synopsis "Full genome sequences for Homo sapiens (GRCh38)") (description "This package provides full genome sequences for Homo sapiens (Human) as provided by NCBI (GRCh38, 2013-12-17) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-hsapiens-ucsc-hg19-masked (package (name "r-bsgenome-hsapiens-ucsc-hg19-masked") (version "1.3.993") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg19.masked" version 'annotation)) (sha256 (base32 "19533ihgad67bzhavycv6z708012ylz9cw1qdfmk2b7ikf3kiaz9")))) (properties `((upstream-name . "BSgenome.Hsapiens.UCSC.hg19.masked"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg19)) (home-page "https://bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg19.masked/") (synopsis "Full masked genome sequences for Homo sapiens") (description "This package provides full genome sequences for Homo sapiens (Human) as provided by UCSC (hg19, Feb. 2009) and stored in Biostrings objects. The sequences are the same as in BSgenome.Hsapiens.UCSC.hg19, except that each of them has the 4 following masks on top: (1) the mask of assembly gaps (AGAPS mask), (2) the mask of intra-contig ambiguities (AMB mask), (3) the mask of repeats from RepeatMasker (RM mask), and (4) the mask of repeats from Tandem Repeats Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by default.") (license license:artistic2.0))) (define-public r-bsgenome-mmusculus-ucsc-mm9 (package (name "r-bsgenome-mmusculus-ucsc-mm9") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm9" version 'annotation)) (sha256 (base32 "1birqw30g2azimxpnjfzmkphan7x131yy8b9h85lfz5fjdg7841i")))) (properties `((upstream-name . "BSgenome.Mmusculus.UCSC.mm9"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm9/") (synopsis "Full genome sequences for Mouse") (description "This package provides full genome sequences for Mus musculus (Mouse) as provided by UCSC (mm9, July 2007) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-mmusculus-ucsc-mm9-masked (package (name "r-bsgenome-mmusculus-ucsc-mm9-masked") (version "1.3.99") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm9.masked" version 'annotation)) (sha256 (base32 "00bpbm3havqcxr4g63zhllsbpd9q6svgihks7qp7x73nm4gvq7fn")))) (properties `((upstream-name . "BSgenome.Mmusculus.UCSC.mm9.masked"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-bsgenome-mmusculus-ucsc-mm9)) (home-page "https://bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm9.masked/") (synopsis "Full masked genome sequences for Mouse") (description "This package provides full genome sequences for Mus musculus (Mouse) as provided by UCSC (mm9, Jul. 2007) and stored in Biostrings objects. The sequences are the same as in BSgenome.Mmusculus.UCSC.mm9, except that each of them has the 4 following masks on top: (1) the mask of assembly gaps (AGAPS mask), (2) the mask of intra-contig ambiguities (AMB mask), (3) the mask of repeats from RepeatMasker (RM mask), and (4) the mask of repeats from Tandem Repeats Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by default." ) (license license:artistic2.0))) (define-public r-bsgenome-mmusculus-ucsc-mm10 (package (name "r-bsgenome-mmusculus-ucsc-mm10") (version "1.4.3") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm10" version 'annotation)) (sha256 (base32 "1vprkywr72nqf847vzmgymylcdb45g4hy30fwx6fzwddkyzh5xnw")))) (properties `((upstream-name . "BSgenome.Mmusculus.UCSC.mm10"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm10/") (synopsis "Full genome sequences for Mouse") (description "This package provides full genome sequences for Mus musculus (Mouse) as provided by UCSC (mm10, December 2011) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-genomeinfodbdata (package (name "r-genomeinfodbdata") (version "1.2.11") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomeInfoDbData" version 'annotation)) (sha256 (base32 "1hkvcrp4a2g3yl1h4k5zzj5fhp3d9a1amyn19zr62q9fhj3y47ri")))) (properties `((upstream-name . "GenomeInfoDbData"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/GenomeInfoDbData") (synopsis "Species and taxonomy ID look up tables for GenomeInfoDb") (description "This package contains data for mapping between NCBI taxonomy ID and species. It is used by functions in the GenomeInfoDb package.") (license license:artistic2.0))) (define-public r-go-db (package (name "r-go-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GO.db" version 'annotation)) (sha256 (base32 "0znqa724jvrw2xx696n48lx83kzhivfr7fc9awzgm7nigwg3907m")))) (properties `((upstream-name . "GO.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://bioconductor.org/packages/GO.db") (synopsis "Annotation maps describing the entire Gene Ontology") (description "The purpose of this GO.db annotation package is to provide detailed information about the latest version of the Gene Ontologies.") (license license:artistic2.0))) (define-public r-hdo-db (package (name "r-hdo-db") (version "0.99.1") (source (origin (method url-fetch) (uri (bioconductor-uri "HDO.db" version 'annotation)) (sha256 (base32 "14ngyxailmxrbxqqi9m7mchqcvchmbg7zm34i8a927b20s6z4z61")))) (properties `((upstream-name . "HDO.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/HDO.db") (synopsis "Annotation maps describing the entire Human Disease Ontology") (description "This package provides a set of annotation maps describing the entire Human Disease Ontology. The annotation data comes from @url{Humam Disease Ontology repository, https://github.com/DiseaseOntology/HumanDiseaseOntology/tree/main/src/ontology}.") (license license:artistic2.0))) (define-public r-homo-sapiens (package (name "r-homo-sapiens") (version "1.3.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Homo.sapiens" version 'annotation)) (sha256 (base32 "151vj7h5p1c8yd5swrchk46z469p135wk50hvkl0nhgndvy0jj01")))) (properties `((upstream-name . "Homo.sapiens"))) (build-system r-build-system) (propagated-inputs (list r-genomicfeatures r-go-db r-org-hs-eg-db r-txdb-hsapiens-ucsc-hg19-knowngene r-organismdbi r-annotationdbi)) (home-page "https://bioconductor.org/packages/Homo.sapiens/") (synopsis "Annotation package for the Homo.sapiens object") (description "This package contains the Homo.sapiens object to access data from several related annotation packages.") (license license:artistic2.0))) (define-public r-mus-musculus (package (name "r-mus-musculus") (version "1.3.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Mus.musculus" version 'annotation)) (sha256 (base32 "143zdf83gbfqhy8jm9df7gzhw5q3a64jrjrxrzjf0zd76j8s8j6y")))) (properties `((upstream-name . "Mus.musculus"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-genomicfeatures r-go-db r-org-mm-eg-db r-organismdbi r-txdb-mmusculus-ucsc-mm10-knowngene)) (home-page "https://bioconductor.org/packages/Mus.musculus") (synopsis "Annotation package for the Mus.musculus object") (description "This package contains the @code{Mus.musculus} object to access data from several related annotation packages.") (license license:artistic2.0))) (define-public r-illuminahumanmethylation450kanno-ilmn12-hg19 (package (name "r-illuminahumanmethylation450kanno-ilmn12-hg19") (version "0.6.1") (source (origin (method url-fetch) (uri (bioconductor-uri "IlluminaHumanMethylation450kanno.ilmn12.hg19" version 'annotation)) (sha256 (base32 "1272n72fvj4agszd9cv8l9h9qr2pzmd0rbvdz83x7x03cdddf9rn")))) (properties `((upstream-name . "IlluminaHumanMethylation450kanno.ilmn12.hg19"))) (build-system r-build-system) (propagated-inputs (list r-minfi)) (home-page "https://bioconductor.org/packages/IlluminaHumanMethylation450kanno.ilmn12.hg19/") (synopsis "Annotation for Illumina's 450k methylation arrays") (description "This package provides manifests and annotation for Illumina's 450k array data.") (license license:artistic2.0))) (define-public r-illuminahumanmethylation450kmanifest (package (name "r-illuminahumanmethylation450kmanifest") (version "0.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IlluminaHumanMethylation450kmanifest" version 'annotation)) (sha256 (base32 "0qx75xwifrbkqmbkd8dhf44c34ibmbivqh7y8rvgrsizmi5ybcj1")))) (properties `((upstream-name . "IlluminaHumanMethylation450kmanifest"))) (build-system r-build-system) (propagated-inputs (list r-minfi)) (home-page "https://bioconductor.org/packages/IlluminaHumanMethylation450kmanifest") (synopsis "Annotation for Illumina's 450k methylation arrays") (description "This package provides a manifest for Illumina's 450k array data.") (license license:artistic2.0))) (define-public r-illuminahumanmethylationepicanno-ilm10b4-hg19 (package (name "r-illuminahumanmethylationepicanno-ilm10b4-hg19") (version "0.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IlluminaHumanMethylationEPICanno.ilm10b4.hg19" version 'annotation)) (sha256 (base32 "0687b4k8hwfc18qgdd9ypv1skp37jd204fszba0gmrv3dc92i09c")))) (properties `((upstream-name . "IlluminaHumanMethylationEPICanno.ilm10b4.hg19"))) (build-system r-build-system) (propagated-inputs (list r-minfi)) (home-page "https://doi.org/doi:10.18129/B9.bioc.IlluminaHumanMethylationEPICanno.ilm10b4.hg19") (synopsis "Annotation for Illumina's EPIC methylation arrays") (description "This is an annotation package for Illumina's EPIC methylation arrays.") (license license:artistic2.0))) (define-public r-org-ce-eg-db (package (name "r-org-ce-eg-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.Ce.eg.db" version 'annotation)) (sha256 (base32 "1fsbrbby6ka2xdsbp8b10nid99w6lkvb7pyn8gv3dsn8p9p6mc5q")))) (properties `((upstream-name . "org.Ce.eg.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://www.bioconductor.org/packages/org.Ce.eg.db/") (synopsis "Genome wide annotation for Worm") (description "This package provides mappings from Entrez gene identifiers to various annotations for the genome of the model worm Caenorhabditis elegans.") (license license:artistic2.0))) (define-public r-org-dm-eg-db (package (name "r-org-dm-eg-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.Dm.eg.db" version 'annotation)) (sha256 (base32 "1n0rwynw3nl4js104295kff0jk8jwymjk8imm9di6dy6b9s3qsa6")))) (properties `((upstream-name . "org.Dm.eg.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://www.bioconductor.org/packages/org.Dm.eg.db/") (synopsis "Genome wide annotation for Fly") (description "This package provides mappings from Entrez gene identifiers to various annotations for the genome of the model fruit fly Drosophila melanogaster.") (license license:artistic2.0))) (define-public r-org-dr-eg-db (package (name "r-org-dr-eg-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.Dr.eg.db" version 'annotation)) (sha256 (base32 "1kk5jgbzcqhgwf5p4mpxswqhr9rkirm3fb7maflk61zcn6fs56zc")))) (properties `((upstream-name . "org.Dr.eg.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://www.bioconductor.org/packages/org.Dr.eg.db/") (synopsis "Annotation for Zebrafish") (description "This package provides genome wide annotations for Zebrafish, primarily based on mapping using Entrez Gene identifiers.") (license license:artistic2.0))) (define-public r-org-hs-eg-db (package (name "r-org-hs-eg-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.Hs.eg.db" version 'annotation)) (sha256 (base32 "1jn556ql6xknfd34qz4bqh6bgc9rccmz6pk41p7ivlzlslz7bp21")))) (properties `((upstream-name . "org.Hs.eg.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://www.bioconductor.org/packages/org.Hs.eg.db/") (synopsis "Genome wide annotation for Human") (description "This package contains genome-wide annotations for Human, primarily based on mapping using Entrez Gene identifiers.") (license license:artistic2.0))) (define-public r-org-mm-eg-db (package (name "r-org-mm-eg-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.Mm.eg.db" version 'annotation)) (sha256 (base32 "0i35dfllh8wf7b61ajf33gvclzg3znyx3cgp30vs3hm8ys3nras1")))) (properties `((upstream-name . "org.Mm.eg.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://www.bioconductor.org/packages/org.Mm.eg.db/") (synopsis "Genome wide annotation for Mouse") (description "This package provides mappings from Entrez gene identifiers to various annotations for the genome of the model mouse Mus musculus.") (license license:artistic2.0))) (define-public r-bsgenome-hsapiens-ucsc-hg19 (package (name "r-bsgenome-hsapiens-ucsc-hg19") (version "1.4.3") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg19" version 'annotation)) (sha256 (base32 "06lx7q7i52lg3vkjkqy492z9ianzgi4nhs9m1jrxjjb4hgbnbyjv")))) (properties `((upstream-name . "BSgenome.Hsapiens.UCSC.hg19"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome)) (home-page "https://www.bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg19/") (synopsis "Full genome sequences for Homo sapiens") (description "This package provides full genome sequences for Homo sapiens as provided by UCSC (hg19, February 2009) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-bsgenome-hsapiens-ucsc-hg38 (package (name "r-bsgenome-hsapiens-ucsc-hg38") (version "1.4.5") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg38" version 'annotation)) (sha256 (base32 "0lp94r9dsx8sl1ifysavgjf4aamhjc4n71zif5jyfnwmzpj7g4ml")))) (properties `((upstream-name . "BSgenome.Hsapiens.UCSC.hg38"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-genomeinfodb)) (home-page "https://www.bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg38/") (synopsis "Full genome sequences for Homo sapiens") (description "This package provides full genome sequences for Homo sapiens (Human) as provided by UCSC (hg38, Dec. 2013) and stored in Biostrings objects.") (license license:artistic2.0))) (define-public r-ensdb-hsapiens-v75 (package (name "r-ensdb-hsapiens-v75") (version "2.99.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EnsDb.Hsapiens.v75" version 'annotation)) (sha256 (base32 "0jx6rf6v0j8yr07q3c1h7s121901dc400nm6xaiv4i7kb5czjn9c")))) (properties `((upstream-name . "EnsDb.Hsapiens.v75"))) (build-system r-build-system) (propagated-inputs (list r-ensembldb)) (home-page "https://bioconductor.org/packages/EnsDb.Hsapiens.v75") (synopsis "Ensembl based annotation package") (description "This package exposes an annotation database generated from Ensembl.") (license license:artistic2.0))) (define-public r-ensdb-hsapiens-v86 (package (name "r-ensdb-hsapiens-v86") (version "2.99.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EnsDb.Hsapiens.v86" version 'annotation)) (sha256 (base32 "1gp7xrzddpvmh2vrcp571wyy00skxgxfl39ksj4h0hm1qay0fb2m")))) (properties `((upstream-name . "EnsDb.Hsapiens.v86"))) (build-system r-build-system) (propagated-inputs (list r-ensembldb)) (home-page "https://bioconductor.org/packages/EnsDb.Hsapiens.v86") (synopsis "Ensembl based annotation package") (description "This package exposes an annotation database generated from Ensembl.") (license license:artistic2.0))) (define-public r-ensdb-mmusculus-v79 (package (name "r-ensdb-mmusculus-v79") (version "2.99.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EnsDb.Mmusculus.v79" version 'annotation)) (sha256 (base32 "1zpmq7v55if6q9r0h883q9k8l70ym20b01m9hxf121wb256rl9f7")))) (properties `((upstream-name . "EnsDb.Mmusculus.v79"))) (build-system r-build-system) (propagated-inputs (list r-ensembldb)) (home-page "https://bioconductor.org/packages/EnsDb.Mmusculus.v79") (synopsis "Ensembl based annotation package") (description "This package exposes an annotation database generated from Ensembl.") (license license:artistic2.0))) (define-public r-escape (package (name "r-escape") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "escape" version)) (sha256 (base32 "0bmin69ax7l5x3a0k9mv183277a0hl4znx02y79v2ilkgqkdm7fn")))) (properties `((upstream-name . "escape"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-broom r-data-table r-dplyr r-ggplot2 r-ggridges r-gseabase r-gsva r-matrix r-matrixgenerics r-msigdbr r-patchwork r-reshape2 r-rlang r-singlecellexperiment r-stringr r-summarizedexperiment r-ucell)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/escape") (synopsis "Single cell analysis platform for enrichment") (description "R-escape streamlines gene set enrichment analysis for single-cell RNA sequencing. Using raw count information, Seurat objects, or @code{SingleCellExperiment} format, users can perform and visualize GSEA across individual cells.") (license license:gpl2))) (define-public r-snplocs-hsapiens-dbsnp144-grch37 (package (name "r-snplocs-hsapiens-dbsnp144-grch37") (version "0.99.20") (source (origin (method url-fetch) (uri (bioconductor-uri "SNPlocs.Hsapiens.dbSNP144.GRCh37" version 'annotation)) (sha256 (base32 "1z8kx43ki1jvj7ms7pcybakcdimfwr6zpjvspkjmma97bdz093iz")))) (build-system r-build-system) ;; As this package provides little more than a very large data file it ;; doesn't make sense to build substitutes. (arguments `(#:substitutable? #f)) (propagated-inputs (list r-biocgenerics r-s4vectors r-iranges r-genomeinfodb r-genomicranges r-bsgenome r-biostrings)) (home-page "https://bioconductor.org/packages/SNPlocs.Hsapiens.dbSNP144.GRCh37/") (synopsis "SNP locations for Homo sapiens (dbSNP Build 144)") (description "This package provides SNP locations and alleles for Homo sapiens extracted from NCBI dbSNP Build 144. The source data files used for this package were created by NCBI on May 29-30, 2015, and contain SNPs mapped to reference genome GRCh37.p13. Note that the GRCh37.p13 genome is a patched version of GRCh37. However the patch doesn't alter chromosomes 1-22, X, Y, MT. GRCh37 itself is the same as the hg19 genome from UCSC *except* for the mitochondrion chromosome. Therefore, the SNPs in this package can be injected in @code{BSgenome.Hsapiens.UCSC.hg19} and they will land at the correct position but this injection will exclude chrM (i.e. nothing will be injected in that sequence).") (license license:artistic2.0))) (define-public r-txdb-dmelanogaster-ucsc-dm6-ensgene (package (name "r-txdb-dmelanogaster-ucsc-dm6-ensgene") (version "3.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TxDb.Dmelanogaster.UCSC.dm6.ensGene" version 'annotation)) (sha256 (base32 "0yij7zyqkmmr13389rs2gfa5anvvw648nnl1kjbsgvyxkggif8q4")))) (properties `((upstream-name . "TxDb.Dmelanogaster.UCSC.dm6.ensGene"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-genomicfeatures)) (home-page "https://bioconductor.org/packages/TxDb.Dmelanogaster.UCSC.dm6.ensGene") (synopsis "Annotation package for TxDb object(s)") (description "This package exposes an annotation databases generated from UCSC by exposing these as TxDb objects.") (license license:artistic2.0))) (define-public r-txdb-hsapiens-ucsc-hg19-knowngene (package (name "r-txdb-hsapiens-ucsc-hg19-knowngene") (version "3.2.2") (source (origin (method url-fetch) (uri (bioconductor-uri "TxDb.Hsapiens.UCSC.hg19.knownGene" version 'annotation)) (sha256 (base32 "1sajhcqqwazgz2lqbik7rd935i7kpnh08zxbp2ra10j72yqy4g86")))) (properties `((upstream-name . "TxDb.Hsapiens.UCSC.hg19.knownGene"))) (build-system r-build-system) (propagated-inputs (list r-genomicfeatures)) (home-page "https://bioconductor.org/packages/TxDb.Hsapiens.UCSC.hg19.knownGene/") (synopsis "Annotation package for human genome in TxDb format") (description "This package provides an annotation database of Homo sapiens genome data. It is derived from the UCSC hg19 genome and based on the \"knownGene\" track. The database is exposed as a @code{TxDb} object.") (license license:artistic2.0))) (define-public r-txdb-hsapiens-ucsc-hg38-knowngene (package (name "r-txdb-hsapiens-ucsc-hg38-knowngene") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TxDb.Hsapiens.UCSC.hg38.knownGene" version 'annotation)) (sha256 (base32 "0ak6acjll2djamakpn60ks47lfs2y0r8xwhjazj6fvch34xkc2d5")))) (properties `((upstream-name . "TxDb.Hsapiens.UCSC.hg38.knownGene"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-genomicfeatures)) (home-page "https://bioconductor.org/packages/TxDb.Hsapiens.UCSC.hg38.knownGene/") (synopsis "Annotation package for human genome in TxDb format") (description "This package provides an annotation database of Homo sapiens genome data. It is derived from the UCSC hg38 genome and based on the \"knownGene\" track. The database is exposed as a @code{TxDb} object.") (license license:artistic2.0))) (define-public r-txdb-mmusculus-ucsc-mm9-knowngene (package (name "r-txdb-mmusculus-ucsc-mm9-knowngene") (version "3.2.2") (source (origin (method url-fetch) (uri (bioconductor-uri "TxDb.Mmusculus.UCSC.mm9.knownGene" version 'annotation)) (sha256 (base32 "16bjxy00363hf91ik2mqlqls86i07gia72qh92xc3l1ncch61mx2")))) (properties `((upstream-name . "TxDb.Mmusculus.UCSC.mm9.knownGene"))) (build-system r-build-system) (propagated-inputs (list r-genomicfeatures r-annotationdbi)) (home-page "https://bioconductor.org/packages/TxDb.Mmusculus.UCSC.mm9.knownGene/") (synopsis "Annotation package for mouse genome in TxDb format") (description "This package provides an annotation database of Mouse genome data. It is derived from the UCSC mm9 genome and based on the \"knownGene\" track. The database is exposed as a @code{TxDb} object.") (license license:artistic2.0))) (define-public r-txdb-mmusculus-ucsc-mm10-knowngene (package (name "r-txdb-mmusculus-ucsc-mm10-knowngene") (version "3.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TxDb.Mmusculus.UCSC.mm10.knownGene" version 'annotation)) (sha256 (base32 "0xs9npnhbwll7p62hibs02y4ac23jchdcr25i6a7qwq1kms82qk9")))) (properties `((upstream-name . "TxDb.Mmusculus.UCSC.mm10.knownGene"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-genomicfeatures r-annotationdbi)) (home-page "https://bioconductor.org/packages/TxDb.Mmusculus.UCSC.mm10.knownGene/") (synopsis "Annotation package for TxDb knownGene object(s) for Mouse") (description "This package loads a TxDb object, which is an R interface to prefabricated databases contained in this package. This package provides the TxDb object of Mouse data as provided by UCSC (mm10, December 2011) based on the knownGene track.") (license license:artistic2.0))) (define-public r-txdb-celegans-ucsc-ce6-ensgene (package (name "r-txdb-celegans-ucsc-ce6-ensgene") (version "3.2.2") (source (origin (method url-fetch) (uri (bioconductor-uri "TxDb.Celegans.UCSC.ce6.ensGene" version 'annotation)) (sha256 (base32 "1sgppva33cdy4isj2is8mfalj5gmmkpbkq9w1d83a4agcq31mi90")))) (properties `((upstream-name . "TxDb.Celegans.UCSC.ce6.ensGene"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-genomicfeatures)) (home-page "https://bioconductor.org/packages/TxDb.Celegans.UCSC.ce6.ensGene/") (synopsis "Annotation package for C elegans TxDb objects") (description "This package exposes a C elegans annotation database generated from UCSC by exposing these as TxDb objects.") (license license:artistic2.0))) (define-public r-fdb-infiniummethylation-hg19 (package (name "r-fdb-infiniummethylation-hg19") (version "2.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FDb.InfiniumMethylation.hg19" version 'annotation)) (sha256 (base32 "0gq90fvph6kgrpjb89nvzq6hl1k24swn19rgjh5g98l86mja6nk0")))) (properties `((upstream-name . "FDb.InfiniumMethylation.hg19"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomicfeatures r-annotationdbi r-org-hs-eg-db r-txdb-hsapiens-ucsc-hg19-knowngene)) (home-page "https://bioconductor.org/packages/FDb.InfiniumMethylation.hg19/") (synopsis "Compiled HumanMethylation27 and HumanMethylation450 annotations") (description "This is an annotation package for Illumina Infinium DNA methylation probes. It contains the compiled HumanMethylation27 and HumanMethylation450 annotations.") (license license:artistic2.0))) (define-public r-illuminahumanmethylationepicmanifest (package (name "r-illuminahumanmethylationepicmanifest") (version "0.3.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IlluminaHumanMethylationEPICmanifest" version 'annotation)) (sha256 (base32 "0alhjda5g186z8b1nsmnpfswrlj7prdz8mkwx60wkkl6hkcnk6p3")))) (properties `((upstream-name . "IlluminaHumanMethylationEPICmanifest"))) (build-system r-build-system) (propagated-inputs (list r-minfi)) (home-page "https://bioconductor.org/packages/IlluminaHumanMethylationEPICmanifest/") (synopsis "Manifest for Illumina's EPIC methylation arrays") (description "This is a manifest package for Illumina's EPIC methylation arrays.") (license license:artistic2.0))) (define-public r-do-db (package (name "r-do-db") (version "2.9") (source (origin (method url-fetch) (uri (bioconductor-uri "DO.db" version 'annotation)) (sha256 (base32 "10bqqa124l61ivzy4mdd3z3ar9a6537qbxw23pc4y9w8a6dwnavn")))) (properties `((upstream-name . "DO.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://www.bioconductor.org/packages/DO.db/") (synopsis "Annotation maps describing the entire Disease Ontology") (description "This package provides a set of annotation maps describing the entire Disease Ontology.") (license license:artistic2.0))) (define-public r-hgu133plus2-db (package (name "r-hgu133plus2-db") (version "3.13.0") (source (origin (method url-fetch) (uri (bioconductor-uri "hgu133plus2.db" version 'annotation)) (sha256 (base32 "0i6cfk7ahql4fcgrq0dai9gkjbsahyzd9iv4lqv1ad58fzkmipnx")))) (properties `((upstream-name . "hgu133plus2.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-org-hs-eg-db)) (home-page "https://bioconductor.org/packages/hgu133plus2.db") (synopsis "Affymetrix Affymetrix HG-U133_Plus_2 Array annotation data") (description "This package provides Affymetrix HG-U133_Plus_2 array annotation data (chip hgu133plus2) assembled using data from public repositories.") (license license:artistic2.0))) (define-public r-pfam-db (package (name "r-pfam-db") (version "3.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "PFAM.db" version 'annotation)) (sha256 (base32 "15m7qfvz53jkdmx90y7rvy62myr4y3hdy414yqi0w3ch32vy78nr")))) (properties `((upstream-name . "PFAM.db"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://bioconductor.org/packages/PFAM.db") (synopsis "Set of protein ID mappings for PFAM") (description "This package provides a set of protein ID mappings for PFAM, assembled using data from public repositories.") (license license:artistic2.0))) (define-public r-phastcons100way-ucsc-hg19 (package (name "r-phastcons100way-ucsc-hg19") (version "3.7.2") (source (origin (method url-fetch) (uri (bioconductor-uri "phastCons100way.UCSC.hg19" version 'annotation)) (sha256 (base32 "1jmc4k4zgkx5vr2plnidnd9bidlwlb0kr7mjg60cqjw7dq7jl1fa")))) (properties `((upstream-name . "phastCons100way.UCSC.hg19"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-genomeinfodb r-genomicranges r-genomicscores r-iranges r-s4vectors)) (home-page "https://bioconductor.org/packages/phastCons100way.UCSC.hg19") (synopsis "UCSC phastCons conservation scores for hg19") (description "This package provides UCSC phastCons conservation scores for the human genome (hg19) calculated from multiple alignments with other 99 vertebrate species.") (license license:artistic2.0))) ;;; Experiment data (define-public r-abadata (package (name "r-abadata") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ABAData" version 'experiment)) (sha256 (base32 "1bmj341xcymlrk02gss5vvrqc4ddas0rdw39lnpsj98hq6n11p5z")))) (properties `((upstream-name . "ABAData"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi)) (home-page "https://www.bioconductor.org/packages/ABAData/") (synopsis "Gene expression in human brain regions from Allen Brain Atlas") (description "This package provides the data for the gene expression enrichment analysis conducted in the package ABAEnrichment. The package includes three datasets which are derived from the Allen Brain Atlas: @enumerate @item Gene expression data from Human Brain (adults) averaged across donors, @item Gene expression data from the Developing Human Brain pooled into five age categories and averaged across donors, and @item a developmental effect score based on the Developing Human Brain expression data. @end enumerate All datasets are restricted to protein coding genes.") (license license:gpl2+))) (define-public r-adductdata (package (name "r-adductdata") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "adductData" version 'experiment)) (sha256 (base32 "16c79wy55p4ryglxph80dibfm1ni8c5yfk6fnmq064ihw4zwcld5")))) (properties `((upstream-name . "adductData"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-experimenthub)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/adductData") (synopsis "Data from untargeted mass spectrometry of modifications to Cys34") (description "This package contains data from untargeted @dfn{mass spectrometry} (MS) of modifications to @dfn{oxidized cysteine} (Cys) 34 in @dfn{human serum albumin} (HSA).") (license license:artistic2.0))) (define-public r-aneufinderdata (package (name "r-aneufinderdata") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AneuFinderData" version 'experiment)) (sha256 (base32 "03kp8qkqy2wph7lbzawgnh83qjm31ih1jp986qwphfhkfk125wg0")))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/AneuFinderData/") (synopsis "Data package for @code{AneuFinder}") (description "This package contains whole-genome single cell sequencing data for demonstration purposes in the @code{AneuFinder} package.") (license license:artistic2.0))) (define-public r-arrmdata (package (name "r-arrmdata") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ARRmData" version 'experiment)) (sha256 (base32 "0hlhc7kvw9n1bnbzingd1475qwivpx64sccnigdij8xdcm1mb4s7")))) (properties `((upstream-name . "ARRmData"))) (build-system r-build-system) (home-page "https://www.bioconductor.org/packages/ARRmData/") (synopsis "Example dataset for normalization of Illumina 450k methylation data") (description "This package provides raw beta values from 36 samples across 3 groups from Illumina 450k methylation arrays.") (license license:artistic2.0))) (define-public r-bcellviper (package (name "r-bcellviper") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bcellViper" version 'experiment)) (sha256 (base32 "1q9ig5z03flq57nrhwnk6gdz4kamjmpwdfifwvnhac3l3f5z828h")))) (properties `((upstream-name . "bcellViper"))) (build-system r-build-system) (propagated-inputs (list r-biobase)) (home-page "https://bioconductor.org/packages/bcellViper") (synopsis "Transcriptional interactome and normal human B-cell expression data") (description "This is a tool for human B-cell context-specific transcriptional regulatory network. In addition, this package provides a human normal B-cells dataset for the examples in package viper.") (license license:gpl2+))) (define-public r-bladderbatch (package (name "r-bladderbatch") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bladderbatch" version 'experiment)) (sha256 (base32 "19dgvdbxsswy1fl68wwf4ifplppm1blzjw1dr06mz0yjq80a7rvl")))) (properties `((upstream-name . "bladderbatch"))) (build-system r-build-system) (propagated-inputs (list r-biobase)) (home-page "https://bioconductor.org/packages/bladderbatch") (synopsis "Bladder gene expression data illustrating batch effects") (description "This package contains microarray gene expression data on 57 bladder samples from 5 batches. The data are used as an illustrative example for the sva package.") (license license:artistic2.0))) (define-public r-bodymaprat (package (name "r-bodymaprat") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bodymapRat" version 'experiment)) (sha256 (base32 "1sfq6vxkb68l0q5qbnpm3fi53k4q9a890bv2ff9c6clhc42wx3h6")))) (properties `((upstream-name . "bodymapRat"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp"))) (add-after 'unpack 'avoid-internet-access (lambda _ (setenv "GUIX_BUILD" "yes") (substitute* "R/zzz.R" (("createHubAccessors.*" m) (string-append "if (Sys.getenv(\"GUIX_BUILD\") == \"\") {" m "}")))))))) (propagated-inputs (list r-experimenthub r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/bodymapRat") (synopsis "Experimental dataset from the rat BodyMap project") (description "This package contains a @code{SummarizedExperiment} from the Yu et al. (2013) paper that performed the rat @code{BodyMap} across 11 organs and 4 developmental stages. Raw FASTQ files were downloaded and mapped using STAR. Data is available on @code{ExperimentHub} as a data package.") (license license:cc-by4.0))) (define-public r-biscuiteerdata (package (name "r-biscuiteerdata") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biscuiteerData" version 'experiment)) (sha256 (base32 "1wqdj1499psnf9y816k05m6h38yfsin4rwzqm1209ddxza6jbw1x")))) (properties `((upstream-name . "biscuiteerData"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-curl r-experimenthub r-genomicranges)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/biscuiteerData") (synopsis "Data package for Biscuiteer") (description "This package contains default datasets used by the Bioconductor package biscuiteer.") (license license:gpl3))) (define-public r-breakpointrdata (package (name "r-breakpointrdata") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "breakpointRdata" version 'experiment)) (sha256 (base32 "13w9vp436akpnywhsr6kz763c2yakrvpyiplggfb6w50wi2xm5xj")))) (properties `((upstream-name . "breakpointRdata"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://github.com/daewoooo/breakpointRdata") (synopsis "Strand-seq data for demonstration purposes") (description "This package is a collection of Strand-seq data. The main purpose is to demonstrate functionalities of the @code{breakpointR} package.") (license license:expat))) (define-public r-breastcancervdx (package (name "r-breastcancervdx") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "breastCancerVDX" version 'experiment)) (sha256 (base32 "12r8zql30ssr0cxy8v1qawwsky54321c737ny19n2yrl7sm08gf0")))) (properties `((upstream-name . "breastCancerVDX"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/breastCancerVDX") (synopsis "Gene expression datasets") (description "This package is a collection of gene expression data from a breast cancer study published in Wang et al. 2005 and Minn et al 2007.") (license license:artistic2.0))) (define-public r-celldex (package (name "r-celldex") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "celldex" version 'experiment)) (sha256 (base32 "1ckjdmiw9g1wdswijy3dvamv3kqi11j8b8p9dgr1yv5q2lfjbnwl")))) (properties `((upstream-name . "celldex"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationhub r-delayedarray r-delayedmatrixstats r-experimenthub r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/LTLA/celldex") (synopsis "Reference index for cell types") (description "This package provides a collection of reference expression datasets with curated cell type labels, for use in procedures like automated annotation of single-cell data or deconvolution of bulk RNA-seq.") (license license:gpl3))) (define-public r-champdata (package (name "r-champdata") (version "2.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChAMPdata" version 'experiment)) (sha256 (base32 "175vsg2bh578fdrdchcma5q3jq7cfxa8b7g8954xv6fxrwcj0ffz")))) (properties `((upstream-name . "ChAMPdata"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-genomicranges)) (home-page "https://bioconductor.org/packages/ChAMPdata") (synopsis "Data packages for ChAMP package") (description "This package provides datasets needed for ChAMP including a test dataset and blood controls for CNA analysis.") (license license:gpl3))) (define-public r-chromstardata (package (name "r-chromstardata") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "chromstaRData" version 'experiment)) (sha256 (base32 "13xrdr9xrfysh714q4p00pgvwr6ryhvd3jinfqr1gb27s7bdvsi6")))) (properties `((upstream-name . "chromstaRData"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/chromstaRData/") (synopsis "ChIP-seq data for demonstration purposes") (description "This package provides ChIP-seq data for demonstration purposes in the chromstaR package.") (license license:gpl3))) (define-public r-copyhelper (package (name "r-copyhelper") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CopyhelpeR" version 'experiment)) (sha256 (base32 "1zfsxi65lln93fb87l6fgp7vxldb4fvnf95h91dl424xyq6qjp1h")))) (properties `((upstream-name . "CopyhelpeR"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/CopyhelpeR/") (synopsis "Helper files for CopywriteR") (description "This package contains the helper files that are required to run the Bioconductor package CopywriteR. It contains pre-assembled 1kb bin GC-content and mappability files for the reference genomes hg18, hg19, hg38, mm9 and mm10. In addition, it contains a blacklist filter to remove regions that display copy number variation. Files are stored as GRanges objects from the GenomicRanges Bioconductor package.") (license license:gpl2))) (define-public r-flowsorted-blood-450k (package (name "r-flowsorted-blood-450k") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FlowSorted.Blood.450k" version 'experiment)) (sha256 (base32 "08xli4a24kkyy5q1ka0vyrpk11yfkyp0gxbs0k8khycppsq9s9sn")))) (properties `((upstream-name . "FlowSorted.Blood.450k"))) (build-system r-build-system) (propagated-inputs (list r-minfi)) (home-page "https://bioconductor.org/packages/FlowSorted.Blood.450k") (synopsis "Illumina HumanMethylation data on sorted blood cell populations") (description "This package provides raw data objects for the Illumina 450k DNA methylation microarrays, and an object depicting which CpGs on the array are associated with cell type.") (license license:artistic2.0))) (define-public r-flowsorted-blood-epic (package (name "r-flowsorted-blood-epic") (version "2.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FlowSorted.Blood.EPIC" version 'experiment)) (sha256 (base32 "0vfx1kpy02640nkkkpksisznybv0xb6jkvvkwsybsggcr2rdkl89")))) (properties `((upstream-name . "FlowSorted.Blood.EPIC"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-experimenthub r-genefilter r-minfi r-nlme r-quadprog r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/immunomethylomics/FlowSorted.Blood.EPIC") (synopsis "Illumina EPIC data on immunomagnetic sorted peripheral adult blood cells") (description "This package provides raw data objects to be used for blood cell proportion estimation in minfi and similar packages. The @code{FlowSorted.Blood.EPIC} object is based in samples assayed by Brock Christensen and colleagues; for details see Salas et al. 2018. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE110554.") (license license:gpl3))) (define-public r-genelendatabase (package (name "r-genelendatabase") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "geneLenDataBase" version 'experiment)) (sha256 (base32 "0skycixz0qbm8cs10kgrkl1ab1qh0mz8641mf5194y839m81d060")))) (properties `((upstream-name . "geneLenDataBase"))) (build-system r-build-system) (propagated-inputs (list r-genomicfeatures r-rtracklayer)) (home-page "https://bioconductor.org/packages/geneLenDataBase/") (synopsis "Lengths of mRNA transcripts for a number of genomes") (description "This package provides the lengths of mRNA transcripts for a number of genomes and gene ID formats, largely based on the UCSC table browser.") (license license:lgpl2.0+))) (define-public r-genomationdata (package (name "r-genomationdata") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "genomationData" version 'experiment)) (sha256 (base32 "044q01dbcd34lxgwpg76yk0msvx7gpiibiqxp6fr9jswq6izrzq7")))) (properties `((upstream-name . "genomationData"))) (build-system r-build-system) ;; As this package provides little more than large data files, it doesn't ;; make sense to build substitutes. (arguments `(#:substitutable? #f)) (native-inputs (list r-knitr)) (home-page "https://bioinformatics.mdc-berlin.de/genomation/") (synopsis "Experimental data for use with the genomation package") (description "This package contains experimental genetic data for use with the genomation package. Included are Chip Seq, Methylation and Cage data, downloaded from Encode.") (license license:gpl3+))) (define-public r-hdcytodata (package (name "r-hdcytodata") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "HDCytoData" version 'experiment)) (sha256 (base32 "1xqwkwxaaj5yylx9pzvka8pj9gxg1z4g23d2sralcvqzcz7q13zn")))) (properties `((upstream-name . "HDCytoData"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp"))) (add-after 'unpack 'avoid-internet-access (lambda _ (setenv "GUIX_BUILD" "yes") (substitute* "R/zzz.R" (("createHubAccessors.*" m) (string-append "if (Sys.getenv(\"GUIX_BUILD\") == \"\") {" m "}")))))))) (propagated-inputs (list r-experimenthub r-flowcore r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/lmweber/HDCytoData") (synopsis "Set of high-dimensional flow cytometry and mass cytometry benchmark datasets") (description "HDCytoData contains a set of high-dimensional cytometry benchmark datasets. These datasets are formatted into SummarizedExperiment and flowSet Bioconductor object formats, including all required metadata. Row metadata includes sample IDs, group IDs, patient IDs, reference cell population or cluster labels and labels identifying spiked in cells. Column metadata includes channel names, protein marker names, and protein marker classes.") (license license:expat))) (define-public r-illumina450probevariants-db (package (name "r-illumina450probevariants-db") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Illumina450ProbeVariants.db" version 'experiment)) (sha256 (base32 "1c1iqxi17s1a1sa1vab2ma7pjq1dxal7ibsiahj66ys0pa4sm42p")))) (properties `((upstream-name . "Illumina450ProbeVariants.db"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/Illumina450ProbeVariants.db") (synopsis "Variant data from 1000 Genomes Project for Illumina HumanMethylation450 Bead Chip probes") (description "This package includes details on variants for each probe on the 450k bead chip for each of the four populations (Asian, American, African and European).") (license license:gpl3))) (define-public r-italicsdata (package (name "r-italicsdata") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ITALICSData" version 'experiment)) (sha256 (base32 "09d2igic3b5p7wpq98hb2lffxm1nfq9mwmnqlbdn3jv49pgz3hmw")))) (properties `((upstream-name . "ITALICSData"))) (build-system r-build-system) (home-page "http://bioinfo.curie.fr") (synopsis "ITALICS data") (description "This package provides data needed to use the ITALICS package.") ;; Expanded from GPL (license (list license:gpl2+ license:gpl3+)))) (define-public r-jaspar2016 (package (name "r-jaspar2016") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "JASPAR2016" version 'experiment)) (sha256 (base32 "0dyx29f7jnyqcj85j2yrl8jcphi2kymx2y2mk7ws25xcahl5zzpy")))) (properties `((upstream-name . "JASPAR2016"))) (build-system r-build-system) (home-page "https://jaspar.elixir.no/") (synopsis "Data package for JASPAR 2016") (description "This is a data package for JASPAR 2016. To search this databases, please use the package TFBSTools.") (license license:gpl2))) (define-public r-macrophage (package (name "r-macrophage") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "macrophage" version 'experiment)) (sha256 (base32 "0ml8v92w021fmzsn4yl90ap3l4l3b9c1pk8pzsrm122p82wzlyms")))) (properties `((upstream-name . "macrophage"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/macrophage") (synopsis "Human macrophage immune response data") (description "This package provides the output of running @code{Salmon} on a set of 24 RNA-seq samples from Alasoo, et al. \"Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response\", published in Nature Genetics, January 2018.") (license license:gpl2+))) (define-public r-methylclockdata (package (name "r-methylclockdata") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "methylclockData" version 'experiment)) (sha256 (base32 "0q4hiclws0fg03kwvbdwka024gghl1hbmmfficxfghslll78mc3y")))) (properties `((upstream-name . "methylclockData"))) (build-system r-build-system) (propagated-inputs (list r-experimenthub r-experimenthubdata)) (native-inputs (list r-knitr)) (home-page "https://github.com/isglobal-brge/methylclockData") (synopsis "Data for methylclock package") (description "This package contains a collection of 9 datasets, andrews and bakulski cord blood, blood gse35069, blood gse35069 chen, blood gse35069 complete, combined cord blood, cord bloo d gse68456, gervin and lyle cord blood, guintivano dlpfc and saliva gse48472. The data are used to estimate cell counts using Extrinsic epigenetic age acceleration (EEAA) method. It also contains a collection of 12 datasets to use with @code{MethylClock} package to estimate chronological and gestational DNA methylation with estimators to use with different methylation clocks.") (license license:expat))) (define-public r-mousegastrulationdata (package (name "r-mousegastrulationdata") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MouseGastrulationData" version 'experiment)) (sha256 (base32 "155kci5isq7mlbvv8mdl2jjpafm3pbv1likhls70aa746spr1h17")))) (properties `((upstream-name . "MouseGastrulationData"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-bumpymatrix r-experimenthub r-s4vectors r-singlecellexperiment r-spatialexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/MarioniLab/MouseGastrulationData") (synopsis "Single-Cell omics data across mouse gastrulation and early organogenesis") (description "This package provides processed and raw count data for single-cell RNA sequencing. In addition, this package offers single-cell ATAC-seq, and @code{seqFISH} (spatial transcriptomic) experiments performed along a timecourse of mouse gastrulation and early organogenesis.") (license license:gpl3))) (define-public r-minfidata (package (name "r-minfidata") (version "0.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "minfiData" version 'experiment)) (sha256 (base32 "15s3kc629m2c78vkidmp6kcc28sn1wzjzrxazmd8z7x8cdad3q4g")))) (properties `((upstream-name . "minfiData"))) (build-system r-build-system) (propagated-inputs (list r-illuminahumanmethylation450kanno-ilmn12-hg19 r-illuminahumanmethylation450kmanifest r-minfi)) (home-page "https://bioconductor.org/packages/minfiData") (synopsis "Example data for the Illumina Methylation 450k array") (description "This package provides data from 6 samples across 2 groups from 450k methylation arrays.") (license license:artistic2.0))) (define-public r-msdata (package (name "r-msdata") (version "0.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "msdata" version 'experiment)) (sha256 (base32 "0nqb7d7fa9l15bxy3s9wmy2h79jb6ldwww0hzk5mifabacmzx691")))) (properties `((upstream-name . "msdata"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/msdata") (synopsis "Various Mass Spectrometry raw data example files") (description "This package provides Ion Trap positive ionization mode data in mzML file format. It includes a subset from 500-850 m/z and 1190-1310 seconds, including MS2 and MS3, intensity threshold 100.000; extracts from FTICR Apex III, m/z 400-450; a subset of UPLC - Bruker micrOTOFq data, both mzML and mz5; LC-MSMS and MRM files from proteomics experiments; and PSI mzIdentML example files for various search engines.") (license license:gpl2+))) (define-public r-msexperiment (package (name "r-msexperiment") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MsExperiment" version)) (sha256 (base32 "06m0i60zh3xjqmsz6dpp0il833xzdfj0fm6xbhl7kmicvfrcnyfg")))) (properties `((upstream-name . "MsExperiment"))) (build-system r-build-system) (propagated-inputs (list r-iranges r-protgenerics r-qfeatures r-s4vectors r-spectra r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/RforMassSpectrometry/MsExperiment") (synopsis "Infrastructure for Mass Spectrometry experiments") (description "This package provides infrastructure to store and manage all aspects related to a complete proteomics or metabolomics mass spectrometry (MS) experiment. The @code{MsExperiment} package provides light-weight and flexible containers for MS experiments building on the new MS infrastructure provided by the Spectra, QFeatures and related packages. Along with raw data representations, links to original data files and sample annotations, additional metadata or annotations can also be stored within the @code{MsExperiment} container. To guarantee maximum flexibility only minimal constraints are put on the type and content of the data within the containers.") (license license:artistic2.0))) (define-public r-msigdb (package (name "r-msigdb") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "msigdb" version 'experiment)) (sha256 (base32 "1kgsqg1d5r852qas09g6fs0pcmk6jgbb6g983v6iqw19qsiy6jby")))) (properties `((upstream-name . "msigdb"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationhub r-experimenthub r-gseabase r-org-hs-eg-db r-org-mm-eg-db)) (native-inputs (list r-knitr)) (home-page "https://doi.org/doi:10.18129/B9.bioc.msigdb") (synopsis "ExperimentHub package for the molecular signatures database") (description "R-msigdb provides the Molecular Signatures Database in a R accessible objects. Signatures are stored in @code{GeneSet} class objects form the GSEABase package and the entire database is stored in a @code{GeneSetCollection} object. These data are then hosted on the @code{ExperimentHub}. Data used in this package was obtained from the @code{MSigDB} of the Broad Institute. Metadata for each gene set is stored along with the gene set in the @code{GeneSet} class object.") (license license:cc-by4.0))) (define-public r-pasilla (package (name "r-pasilla") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pasilla" version 'experiment)) (sha256 (base32 "1vsxh7mv2krkbdqs5gsgjsxarjbll0bpyk94syrwh56z67n7jyib")))) (build-system r-build-system) (propagated-inputs (list r-dexseq)) (native-inputs (list r-knitr)) (home-page "https://www.bioconductor.org/packages/pasilla/") (synopsis "Data package with per-exon and per-gene read counts") (description "This package provides per-exon and per-gene read counts computed for selected genes from RNA-seq data that were presented in the article 'Conservation of an RNA regulatory map between Drosophila and mammals' by Brooks et al., Genome Research 2011.") (license license:lgpl2.1+))) (define-public r-hsmmsinglecell (package (name "r-hsmmsinglecell") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "HSMMSingleCell" version 'experiment)) (sha256 (base32 "12whx0pl9461xbak5r9zi6ggx5is8sk6mgrbjwlmx3mbr9am116v")))) (properties `((upstream-name . "HSMMSingleCell"))) (build-system r-build-system) (home-page "https://www.bioconductor.org/packages/HSMMSingleCell/") (synopsis "Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts (HSMM)") (description "Skeletal myoblasts undergo a well-characterized sequence of morphological and transcriptional changes during differentiation. In this experiment, primary @dfn{human skeletal muscle myoblasts} (HSMM) were expanded under high mitogen conditions (GM) and then differentiated by switching to low-mitogen media (DM). RNA-Seq libraries were sequenced from each of several hundred cells taken over a time-course of serum-induced differentiation. Between 49 and 77 cells were captured at each of four time points (0, 24, 48, 72 hours) following serum switch using the Fluidigm C1 microfluidic system. RNA from each cell was isolated and used to construct mRNA-Seq libraries, which were then sequenced to a depth of ~4 million reads per library, resulting in a complete gene expression profile for each cell.") (license license:artistic2.0))) (define-public r-all (package (name "r-all") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ALL" version 'experiment)) (sha256 (base32 "0410045x327wmfkksshd8yishw4yxij08vn8p65cdj7hb3qy3p0z")))) (properties `((upstream-name . "ALL"))) (build-system r-build-system) (propagated-inputs (list r-biobase)) (home-page "https://bioconductor.org/packages/ALL") (synopsis "Acute Lymphoblastic Leukemia data from the Ritz laboratory") (description "The data consist of microarrays from 128 different individuals with @dfn{acute lymphoblastic leukemia} (ALL). A number of additional covariates are available. The data have been normalized (using rma) and it is the jointly normalized data that are available here. The data are presented in the form of an @code{exprSet} object.") (license license:artistic2.0))) (define-public r-affydata (package (name "r-affydata") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affydata" version 'experiment)) (sha256 (base32 "1d8ims7hks536v739r5hhfkkzyzqrf398aqal3hzyfm0psv15jbp")))) (properties `((upstream-name . "affydata"))) (build-system r-build-system) (propagated-inputs (list r-affy)) (home-page "https://bioconductor.org/packages/affydata/") (synopsis "Affymetrix data for demonstration purposes") (description "This package provides example datasets that represent 'real world examples' of Affymetrix data, unlike the artificial examples included in the package @code{affy}.") (license license:gpl2+))) (define-public r-gagedata (package (name "r-gagedata") (version "2.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gageData" version 'experiment)) (sha256 (base32 "00s2aig9r0bvk45brc0shildrgl2z0i0k8xlvqc9h1s274nnslk9")))) (properties `((upstream-name . "gageData"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/gageData") (synopsis "Auxiliary data for the gage package") (description "This is a supportive data package for the software package @code{gage}. However, the data supplied here are also useful for gene set or pathway analysis or microarray data analysis in general. In this package, we provide two demo microarray dataset: GSE16873 (a breast cancer dataset from GEO) and BMP6 (originally published as an demo dataset for GAGE, also registered as GSE13604 in GEO). This package also includes commonly used gene set data based on KEGG pathways and GO terms for major research species, including human, mouse, rat and budding yeast. Mapping data between common gene IDs for budding yeast are also included.") (license license:gpl2+))) (define-public r-curatedtcgadata (package (name "r-curatedtcgadata") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "curatedTCGAData" version 'experiment)) (sha256 (base32 "0h3mpwy6lhyn8hfry13sdjgb35gqyi3g26igfjqzshc5wvsniwpr")))) (properties `((upstream-name . "curatedTCGAData"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-experimenthub r-hdf5array r-multiassayexperiment r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/curatedTCGAData/") (synopsis "Curated data from The Cancer Genome Atlas") (description "This package provides publicly available data from The Cancer Genome Atlas (TCGA) as @code{MultiAssayExperiment} objects. @code{MultiAssayExperiment} integrates multiple assays (e.g., RNA-seq, copy number, mutation, microRNA, protein, and others) with clinical / pathological data. It also links assay barcodes with patient identifiers, enabling harmonized subsetting of rows (features) and columns (patients / samples) across the entire multi-'omics experiment.") (license license:artistic2.0))) (define-public r-parathyroidse (package (name "r-parathyroidse") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "parathyroidSE" version 'experiment)) (sha256 (base32 "1h33x55c4gbzmh085skqif04wdcvjp2l9fm55qzwws27kwd30c16")))) (properties `((upstream-name . "parathyroidSE"))) (build-system r-build-system) (propagated-inputs (list r-summarizedexperiment)) (home-page "https://bioconductor.org/packages/parathyroidSE") (synopsis "RangedSummarizedExperiment for RNA-Seq of parathyroid tumors") (description "This package provides @code{RangedSummarizedExperiment} objects of read counts in genes and exonic parts for paired-end RNA-Seq data from experiments on primary cultures of parathyroid tumors. The sequencing was performed on tumor cultures from 4 patients at 2 time points over 3 conditions (DPN, OHT and control).") ;; The author(s) mentions only LGPL without any specific version. (license license:lgpl2.1+))) (define-public r-sesamedata (package (name "r-sesamedata") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "sesameData" version 'experiment)) (sha256 (base32 "1fvxs5n6bj2j0k3vgnaiksshkaxw7fmx6k22rjd3fsqg3cz60fm6")))) (properties `((upstream-name . "sesameData"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-experimenthub r-genomeinfodb r-genomicranges r-iranges r-readr r-s4vectors r-stringr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/sesameData") (synopsis "Supporting Data for SeSAMe Package") (description "This package provides supporting annotation and test data for @code{SeSAMe} package. This includes chip tango addresses, mapping information, performance annotation, and trained predictor for Infinium array data. This package provides user access to essential annotation data for working with many generations of the Infinium DNA methylation array. It currently supports human array (HM27, HM450, EPIC), mouse array (MM285) and the @code{HorvathMethylChip40} (Mammal40) array.") (license license:artistic2.0))) (define-public r-tcgabiolinksgui-data (package (name "r-tcgabiolinksgui-data") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TCGAbiolinksGUI.data" version 'experiment)) (sha256 (base32 "1mb2z59acs1pi1gqvgjyh62wnmbxskc5l0p42gpjajsjip5x1x7g")))) (properties `((upstream-name . "TCGAbiolinksGUI.data"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://github.com/BioinformaticsFMRP/TCGAbiolinksGUI.data") (synopsis "Data for the TCGAbiolinksGUI package") (description "This package provides supporting data for the TCGAbiolinksGUI package.") (license license:gpl3))) (define-public r-tximportdata (package (name "r-tximportdata") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tximportData" version 'experiment)) (sha256 (base32 "0mgbwpybg2xd6x1ijrflmjh5w63qz6ylnzszbbyp437n618m7riy")))) (properties `((upstream-name . "tximportData"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/tximportData") (synopsis "Data for the tximport package") (description "This package provides the output of running various transcript abundance quantifiers on a set of 6 RNA-seq samples from the GEUVADIS project. The quantifiers were @code{Cufflinks}, @code{RSEM}, @code{kallisto}, @code{Salmon} and @code{Sailfish}. Alevin example output is also included.") (license license:gpl2+))) ;;; Packages (define-public r-abarray (package (name "r-abarray") (version "1.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ABarray" version)) (sha256 (base32 "0p9q2x6n6n1d4w2hfbhhj54qflc6rf1w1qm9p2zqv9fcrm3g153v")))) (properties `((upstream-name . "ABarray"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-multtest)) (home-page "https://bioconductor.org/packages/ABarray") (synopsis "Gene expression analysis for Applied Biosystems Genome Survey Microarray") (description "The package @code{ABarray} is designed to work with Applied Biosystems whole genome microarray platform, as well as any other platform whose data can be transformed into expression data matrix. Functions include data preprocessing, filtering, control probe analysis, statistical analysis in one single function. A @dfn{graphical user interface} (GUI) is also provided. The raw data, processed data, graphics output and statistical results are organized into folders according to the analysis settings used.") (license license:gpl2+))) (define-public r-absseq (package (name "r-absseq") (version "1.56.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ABSSeq" version)) (sha256 (base32 "0y8j66yargvipwxg2ffcs62idk5q5r8vracfldbd1x5rgq7lf6nq")))) (properties `((upstream-name . "ABSSeq"))) (build-system r-build-system) (propagated-inputs (list r-limma r-locfit)) (home-page "https://bioconductor.org/packages/ABSSeq") (synopsis "RNA-Seq analysis based on modelling absolute expression differences") (description "This package implements a new RNA-Seq analysis method and integrates two modules: a basic model for pairwise comparison and a linear model for complex design. RNA-Seq quantifies gene expression with reads count, which usually consists of conditions (or treatments) and several replicates for each condition. This software infers differential expression directly by the counts difference between conditions. It assumes that the sum counts difference between conditions follow a negative binomial distribution. In addition, @code{ABSSeq} moderates the fold-changes by two steps: the expression level and gene-specific dispersion, that might facilitate the gene ranking by fold-change and visualization.") (license license:gpl3+))) (define-public r-adacgh2 (package (name "r-adacgh2") (version "2.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ADaCGH2" version)) (sha256 (base32 "0lzgn4zqckv37jsgd1azvshblb38khrlcncm98g74qhkswqj5wx3")))) (properties `((upstream-name . "ADaCGH2"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'python3-compatibility (lambda _ (substitute* "inst/imagemap-example/toMap.py" (("print nameMap") "print(nameMap)"))))))) (inputs (list python-wrapper)) (propagated-inputs (list r-acgh r-bit r-cluster r-dnacopy r-ff r-glad r-snapcgh r-tilingarray r-waveslim)) (home-page "https://github.com/rdiaz02/adacgh2") (synopsis "Big data analysis from aCGH experiments") (description "This package analyzes and creates plots of array @acronym{CGH, comparative genomic hybridization} data. Also, it allows usage of @acronym{CBS, Circular Binary Segementation}, wavelet-based smoothing, HMM, BioHMM, GLAD, CGHseg. Most computations are parallelized (either via forking or with clusters, including MPI and sockets clusters) and use @code{ff} for storing data.") (license license:gpl3+))) (define-public r-adam (package (name "r-adam") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ADAM" version)) (sha256 (base32 "0gz3mpkj1q4j7w08ylfzclpa6saxsz7wyp0cldllhxpcj9lxljs5")))) (properties `((upstream-name . "ADAM"))) (build-system r-build-system) (propagated-inputs (list r-dplyr r-dt r-go-db r-keggrest r-knitr r-pbapply r-rcpp r-stringr r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ADAM") (synopsis "Gene activity and diversity analysis module") (description "This software @code{ADAM} is a @dfn{Gene set enrichment analysis} (GSEA) package created to group a set of genes from comparative samples (control versus experiment) belonging to different species according to their respective functions. The corresponding roles are extracted from the default collections like Gene ontology and @dfn{Kyoto encyclopedia of genes and genomes} (KEGG). @code{ADAM} show their significance by calculating the p-values referring to gene diversity and activity. Each group of genes is called @dfn{Group of functionally associated genes} (GFAG).") (license license:gpl2+))) (define-public r-adamgui (package (name "r-adamgui") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ADAMgui" version)) (sha256 (base32 "10m5dplkzxsxm7dxcmybihv81yflm3f7q6fmgb1dvwr8lsn1dm03")))) (properties `((upstream-name . "ADAMgui"))) (build-system r-build-system) (propagated-inputs (list r-adam r-colorramps r-data-table r-dplyr r-dt r-ggplot2 r-ggpubr r-ggrepel r-ggsignif r-go-db r-gridextra r-knitr r-rcolorbrewer r-reshape2 r-shiny r-shinyjs r-stringi r-stringr r-testthat r-varhandle)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ADAMgui/") (synopsis "GUI for gene activity and diversity analysis") (description "This package @code{ADAMgui} is a @dfn{graphical user interface} (GUI) for the @code{ADAM} package. The @code{ADAMgui} package provides two shiny-based applications that allows the user to study the output of the @code{ADAM} package files through different plots. It's possible, for example, to choose a specific @dfn{group of functionally associated genes} (GFAG) and observe the gene expression behavior with the plots created with the @code{GFAGtargetUi} function. Features such as differential expression and fold change can be easily seen with aid of the plots made with the @code{GFAGpathUi} function.") (license license:gpl2+))) (define-public r-adimpute (package (name "r-adimpute") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ADImpute" version)) (sha256 (base32 "0299yyin2j8577db2w6mrxmsq68cjlzwyh7z1wvhbj0n1p75r871")))) (properties `((upstream-name . "ADImpute"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-checkmate r-data-table r-drimpute r-kernlab r-mass r-matrix r-rsvd r-s4vectors r-saver r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ADImpute") (synopsis "Adaptive computational prediction for dropout imputations") (description "@dfn{Single-cell RNA sequencing} (scRNA-seq) methods are typically unable to quantify the expression levels of all genes in a cell, creating a need for the computational prediction of missing values (dropout imputation). Most existing dropout imputation methods are limited in the sense that they exclusively use the scRNA-seq dataset at hand and do not exploit external gene-gene relationship information. The @code{ADImpute} package proposes two methods to address this issue: @enumerate @item a gene regulatory network-based approach using gene-gene relationships learnt from external data; @item a baseline approach corresponding to a sample-wide average. @end enumerate @code{ADImpute} implements these novel methods and also combines them with existing imputation methods like @code{DrImpute} and @code{SAVER}. @code{ADImpute} can learn the best performing method per gene and combine the results from different methods into an ensemble.") (license license:gpl3+))) (define-public r-adsplit (package (name "r-adsplit") (version "1.72.0") (source (origin (method url-fetch) (uri (bioconductor-uri "adSplit" version)) (sha256 (base32 "0av0kji4r788cn5808g13svqpydq6xk4d2awpzpsckz7xbjyx0ya")))) (properties `((upstream-name . "adSplit"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-cluster r-go-db r-keggrest r-multtest)) (home-page "https://compdiag.molgen.mpg.de/software/adSplit.shtml") (synopsis "Annotation-driven splits in microarray data") (description "This package implements clustering of microarray gene expression profiles according to functional annotations. For each term genes are annotated to, splits into two subclasses are computed and a significance of the supporting gene set is determined.") (license license:gpl2+))) (define-public r-affixcan (package (name "r-affixcan") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AffiXcan" version)) (sha256 (base32 "1f508sz5vsmmmvp2mcyd2l4hislg2xhnn11xxva010l3i7by8c2r")))) (properties `((upstream-name . "AffiXcan"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-crayon r-multiassayexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AffiXcan") (synopsis "Functional approach to impute genetically regulated expression") (description "The @code{AffiXcan} package imputes a @dfn{genetically regulated expression} (GReX) for a set of genes in a sample of individuals, using a method based on the @dfn{total binding affinity} (TBA). Statistical models to impute GReX can be trained with a training dataset where the real total expression values are known.") (license license:gpl3))) (define-public r-affyilm (package (name "r-affyilm") (version "1.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affyILM" version)) (sha256 (base32 "1sbgc787gvcnpjhm0hv80rsms679wlvphq2ch7s28zdlaa2vz7sv")))) (properties `((upstream-name . "affyILM"))) (build-system r-build-system) (propagated-inputs (list r-affxparser r-affy r-biobase r-gcrma)) (home-page "https://bioconductor.org/packages/affyILM") (synopsis "Linear model of background subtraction and the Langmuir isotherm") (description "The affyILM package is a preprocessing tool which estimates gene expression levels for Affymetrix Gene Chips. Input from physical chemistry is employed to first background subtract intensities before calculating concentrations on behal of the Langmuir model.") (license license:gpl3))) (define-public r-affylmgui (package (name "r-affylmgui") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affylmGUI" version)) (sha256 (base32 "1431zmh9van9605lh0i96as48zih17s3cfhjw94v37rswfq09fkg")))) (properties `((upstream-name . "affylmGUI"))) (build-system r-build-system) (propagated-inputs (list r-affy r-affyio r-affyplm r-annotationdbi r-biocgenerics r-biocmanager r-gcrma r-limma r-r2html r-tkrplot r-xtable)) (home-page "https://bioinf.wehi.edu.au/affylmGUI/") (synopsis "GUI for limma package with Affymetrix microarrays") (description "This package provides a @acronym{GUI, Graphical User Interface} for analysis of Affymetrix microarray gene expression data using the affy and limma packages.") (license license:gpl2+))) (define-public r-affyplm (package (name "r-affyplm") (version "1.78.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affyPLM" version)) (sha256 (base32 "0l7rfwj1bdkk9vd5j0zby2ijpapmd5k0s6l84zy4ld47vabxyaa6")))) (properties `((upstream-name . "affyPLM"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-affy r-biobase r-biocgenerics r-gcrma r-preprocesscore r-zlibbioc)) (home-page "https://github.com/bmbolstad/affyPLM") (synopsis "Methods for fitting probe-level models") (description "The affyPLM provides a package that extends and improves the functionality of the base affy package. For speeding up the runs, it includes routines that make heavy use of compiled code. The central focus is on implementation of methods for fitting probe-level models and tools using these models. @acronym{PLM, probe-level models} based quality assessment tools are also provided.") (license license:gpl2+))) (define-public r-affyrnadegradation (package (name "r-affyrnadegradation") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AffyRNADegradation" version)) (sha256 (base32 "0i7929cyqvbx81v1d629g53480m48cbdpxfv0k6lwjfzf4yvazhf")))) (properties `((upstream-name . "AffyRNADegradation"))) (build-system r-build-system) (propagated-inputs (list r-affy)) (home-page "https://bioconductor.org/packages/AffyRNADegradation") (synopsis "Analyze and correct probe positional bias in data due to RNA degradation") (description "The @code{AffyRNADegradation} package helps with the assessment and correction of RNA degradation effects in Affymetrix 3 expression arrays. The parameter @code{d} gives a robust and accurate measure of RNA integrity. The correction removes the probe positional bias, and thus improves comparability of samples that are affected by RNA degradation.") ;; the R file header specifies GPL2 or later (license license:gpl2+))) (define-public r-agdex (package (name "r-agdex") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AGDEX" version)) (sha256 (base32 "06z74p3khw3r8dnwrpyyikq3ifcdvffxgfwcic9j8vc9s8pf921s")))) (properties `((upstream-name . "AGDEX"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-gseabase)) (home-page "https://bioconductor.org/packages/AGDEX") (synopsis "Evaluate agreement of differential expression for cross-species genomics") (description "The objective of @code{AGDEX} is to evaluate whether the results of a pair of two-group differential expression analysis comparisons show a level of agreement that is greater than expected if the group labels for each two-group comparison are randomly assigned. The agreement is evaluated for the entire transcriptome and (optionally) for a collection of pre-defined gene-sets. Additionally, the procedure performs permutation-based differential expression and meta analysis at both gene and gene-set levels of the data from each experiment.") (license license:gpl2+))) (define-public r-aggregatebiovar (package (name "r-aggregatebiovar") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "aggregateBioVar" version)) (sha256 (base32 "1i04hhncz9lhjp730gyknd8v7zakz1whc2a5pw3pn37h8k9mq5la")))) (properties `((upstream-name . "aggregateBioVar"))) (build-system r-build-system) (propagated-inputs (list r-matrix r-rlang r-s4vectors r-singlecellexperiment r-summarizedexperiment r-tibble)) (native-inputs (list r-knitr)) (home-page "https://github.com/jasonratcliff/aggregateBioVar") (synopsis "Differential gene expression analysis for multi-subject scRNA-seq") (description "This package @code{aggregateBioVar} contains tools to summarize single cell gene expression profiles at the level of subject for single cell RNA-seq data collected from more than one subject (e.g. biological sample or technical replicates). A @code{SingleCellExperiment} object is taken as input and converted to a list of @code{SummarizedExperiment} objects, where each list element corresponds to an assigned cell type. The @code{SummarizedExperiment} objects contain aggregate gene-by-subject count matrices and inter-subject column metadata for individual subjects that can be processed using downstream bulk RNA-seq tools.") (license license:gpl3))) (define-public r-agilp (package (name "r-agilp") (version "3.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "agilp" version)) (sha256 (base32 "0xbbcmnbnj7y3a1wndv6zhqhrwdpdj6207wh4n0qz794akciw84a")))) (properties `((upstream-name . "agilp"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/agilp") (synopsis "Processing of Agilent expression array") (description "This package aims to provide a pipeline for the low-level analysis of gene expression microarray data, primarily focused on the Agilent platform, but which also provides utilities which may be useful for other platforms.") ;; Some files are under GPLv2+ but the combined work is released under the ;; GPLv3. (license license:gpl3))) (define-public r-adductomicsr (package (name "r-adductomicsr") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "adductomicsR" version)) (sha256 (base32 "0fb670gxzl5aq6vmb5d2l04r0408gxrqs06k1a3b3pzkdbd7qxwm")))) (properties `((upstream-name . "adductomicsR"))) (build-system r-build-system) (propagated-inputs (list r-adductdata r-ade4 r-annotationhub r-bootstrap r-data-table r-dosnow r-dplyr r-dt r-experimenthub r-fastcluster r-foreach r-fpc r-mzr r-orgmassspecr r-pastecs r-pracma r-rcppeigen r-reshape2 r-rvest r-smoother r-zoo)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/adductomicsR") (synopsis "Processing of adductomic mass spectral datasets") (description "This package @code{adductomicsR} processes data generated by the @dfn{second stage of mass spectrometry} (MS2) to identify potentially adducted peptides from spectra that has been corrected for mass drift and retention time drift and quantifies level mass spectral peaks from @dfn{first stage of mass spectrometry} (MS1) data.") (license license:artistic2.0))) (define-public r-agimicrorna (package (name "r-agimicrorna") (version "2.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AgiMicroRna" version)) (sha256 (base32 "0cimi60asz5mmrq2qmnyqq9x5yg14cc67j8135x9zlklblsfyf35")))) (properties `((upstream-name . "AgiMicroRna"))) (build-system r-build-system) (propagated-inputs (list r-affy r-affycoretools r-biobase r-limma r-preprocesscore)) (home-page "https://git.bioconductor.org/packages/AgiMicroRna") (synopsis "Processing and differential expression analysis of Agilent microRNA chips") (description "@code{AgiMicroRna} provides useful functionality for the processing, quality assessment and differential expression analysis of Agilent microRNA array data. The package uses a limma-like structure to generate the processed data in order to make statistical inferences about differential expression using the linear model features implemented in limma. Standard Bioconductor objects are used so that other packages could be used as well.") (license license:gpl3))) (define-public r-aims (package (name "r-aims") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AIMS" version)) (sha256 (base32 "0fmzyd8vypcfadqfa8w11mxr12h4a9shgiqpi2n2y150fvhlqf6c")))) (properties `((upstream-name . "AIMS"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-e1071)) (home-page "https://git.bioconductor.org/packages/AIMS") (synopsis "Absolute assignment of breast cancer intrinsic molecular subtype") (description "This package contains an implementation of @code{AIMS} -- Absolute Intrinsic Molecular Subtyping. It contains necessary functions to assign the five intrinsic molecular subtypes (Luminal A, Luminal B, Her2-enriched, Basal-like, Normal-like). Assignments could be done on individual samples as well as on dataset of gene expression data.") (license license:artistic2.0))) (define-public r-airpart (package (name "r-airpart") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "airpart" version)) (sha256 (base32 "1bdlg078nlpibbn3y1cbkglhlm440crx3alzhv9k0psv6arg2kqb")))) (properties `((upstream-name . "airpart"))) (build-system r-build-system) (propagated-inputs (list r-apeglm r-clue r-complexheatmap r-dplyr r-dynamictreecut r-emdbook r-forestplot r-ggplot2 r-lpsolve r-matrixstats r-mclust r-pbapply r-plyr r-rcolorbrewer r-rlang r-s4vectors r-scater r-singlecellexperiment r-smurf r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/airpart") (synopsis "Differential cell-type-specific allelic imbalance") (description "The airpart package identifies sets of genes displaying differential cell-type-specific allelic imbalance across cell types or states, utilizing single-cell allelic counts. It makes use of a generalized fused lasso with binomial observations of allelic counts to partition cell types by their allelic imbalance. Alternatively, a nonparametric method for partitioning cell types is offered. The package includes a number of visualizations and quality control functions for examining single cell allelic imbalance datasets.") (license license:gpl2))) (define-public r-amountain (package (name "r-amountain") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AMOUNTAIN" version)) (sha256 (base32 "1c65vn2k3hzzymik9ia7nk32sf0hr83q27yzf561a1hgv3m67d65")))) (properties `((upstream-name . "AMOUNTAIN"))) (build-system r-build-system) (inputs (list gsl)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AMOUNTAIN") (synopsis "Modules for multilayer weighted gene co-expression networks") (description "This package provides a pure data-driven gene network, @dfn{WGCN}(weighted gene co-expression network) could be constructed only from expression profile. Different layers in such networks may represent different time points, multiple conditions or various species. @code{AMOUNTAIN} aims to search active modules in multi-layer WGCN using a continuous optimization approach.") (license license:gpl2+))) (define-public r-amplican (package (name "r-amplican") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "amplican" version)) (sha256 (base32 "0xsw6226yyyl5zgmcyfim6dxj04zrpzbd1288l0hysq1s3b1yslw")))) (properties `((upstream-name . "amplican"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-biostrings r-cluster r-data-table r-dplyr r-genomeinfodb r-genomicranges r-ggplot2 r-ggthemes r-gridextra r-gtable r-iranges r-knitr r-matrix r-matrixstats r-rcpp r-rmarkdown r-s4vectors r-shortread r-stringr r-waffle)) (native-inputs (list r-knitr)) (home-page "https://github.com/valenlab/amplican") (synopsis "Automated analysis of CRISPR experiments") (description "The package performs alignment of the amplicon reads, normalizes gathered data, calculates multiple statistics (e.g. cut rates, frameshifts) and presents the results in the form of aggregated reports. Data and statistics can be broken down by experiments, barcodes, user defined groups, guides and amplicons allowing for quick identification of potential problems.") (license license:gpl3))) (define-public r-amaretto (package (name "r-amaretto") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AMARETTO" version)) (sha256 (base32 "1h0ci2sak2x5dhcshmgk4hy53ggjvrz3kaj61m47w5fjkj0lz79s")))) (properties `((upstream-name . "AMARETTO"))) (build-system r-build-system) (propagated-inputs (list r-biocfilecache r-callr r-circlize r-complexheatmap r-curatedtcgadata r-doparallel r-dplyr r-dt r-foreach r-ggplot2 r-glmnet r-gridextra r-httr r-impute r-knitr r-limma r-matrix r-matrixstats r-multiassayexperiment r-rcpp r-readr r-reshape2 r-rmarkdown r-tibble)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AMARETTO") (synopsis "Regulatory network inference and driver gene evaluation") (description "This package @code{AMARETTO} represents an algorithm that integrates copy number, DNA methylation and gene expression data to identify a set of driver genes by analyzing cancer samples and connects them to clusters of co-expressed genes, which we define as modules. @code{AMARETTO} can be applied in a pancancer setting to identify cancer driver genes and their modules on multiple cancer sites. @code{AMARETTO} captures modules enriched in angiogenesis, cell cycle and EMT, and modules that accurately predict survival and molecular subtypes. This allows @code{AMARETTO} to identify novel cancer driver genes directing canonical cancer pathways.") (license license:asl2.0))) (define-public r-anaquin (package (name "r-anaquin") (version "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Anaquin" version)) (sha256 (base32 "1f2xf1i9l1s7433mvqjsralpm77qg0m73dw1rq9jsxbpk1f502ld")))) (properties `((upstream-name . "Anaquin"))) (build-system r-build-system) (propagated-inputs (list r-deseq2 r-ggplot2 r-knitr r-locfit r-plyr r-qvalue r-rocr)) (native-inputs (list r-knitr)) (home-page "https://www.sequinstandards.com/") (synopsis "Statistical analysis of sequins") (description "The project is intended to support the use of @dfn{sequins}(synthetic sequencing spike-in controls) owned and made available by the Garvan Institute of Medical Research. The goal is to provide a standard library for quantitative analysis, modelling, and visualization of spike-in controls.") (license license:bsd-3))) (define-public r-ancombc (package (name "r-ancombc") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ANCOMBC" version)) (sha256 (base32 "1m63k1b9xh5mv4zb5m9nlrdcqkh2h477x1zyfk8j89idcvk9jil7")))) (properties `((upstream-name . "ANCOMBC"))) (build-system r-build-system) (propagated-inputs (list r-cvxr r-desctools r-doparallel r-dorng r-energy r-foreach r-gtools r-hmisc r-lme4 r-lmertest r-mass r-matrix r-mia r-multcomp r-nloptr r-rdpack r-s4vectors r-singlecellexperiment r-summarizedexperiment r-treesummarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/FrederickHuangLin/ANCOMBC") (synopsis "Analysis of compositions of microbiomes with bias correction") (description "@code{ANCOMBC} is a package containing @dfn{differential abundance} (DA) and correlation analyses for microbiome data. Specifically, the package includes @dfn{Analysis of Compositions of Microbiomes with Bias Correction}(ANCOM-BC) and @dfn{Analysis of Composition of Microbiomes} (ANCOM) for DA analysis, and @dfn{Sparse Estimation of Correlations among Microbiomes} (SECOM) for correlation analysis. Microbiome data are typically subject to two sources of biases: unequal sampling fractions (sample-specific biases) and differential sequencing efficiencies (taxon-specific biases). Methodologies included in the @code{ANCOMBC} package were designed to correct these biases and construct statistically consistent estimators.") (license license:artistic2.0))) (define-public r-animalcules (package (name "r-animalcules") (version "1.18.2") (source (origin (method url-fetch) (uri (bioconductor-uri "animalcules" version)) (sha256 (base32 "1q0ca3pagqzj12kah79jg4py3ibz7qsdl975r2mxhphqwj76gnh8")))) (properties `((upstream-name . "animalcules"))) (build-system r-build-system) (propagated-inputs (list r-ape r-assertthat r-caret r-covr r-deseq2 r-dplyr r-dt r-forcats r-ggplot2 r-gunifrac r-lattice r-limma r-magrittr r-matrix r-multiassayexperiment r-plotly r-rentrez r-reshape2 r-rocit r-s4vectors r-scales r-shiny r-shinyjs r-summarizedexperiment r-tibble r-tsne r-umap r-vegan r-xml)) (native-inputs (list r-knitr)) (home-page "https://github.com/compbiomed/animalcules") (synopsis "Interactive microbiome analysis toolkit") (description "Animalcules is an R package for utilizing up-to-date data analytics, visualization methods, and machine learning models to provide users an easy-to-use interactive microbiome analysis framework. It can be used as a standalone software package or users can explore their data with the accompanying interactive R Shiny application. Traditional microbiome analysis such as alpha/beta diversity and differential abundance analysis are enhanced, while new methods like biomarker identification are introduced by animalcules. Powerful interactive and dynamic figures generated by animalcules enable users to understand their data better and discover new insights.") (license license:artistic2.0))) (define-public r-annotationhubdata (package (name "r-annotationhubdata") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationHubData" version)) (sha256 (base32 "0jkz65z7l9vaxid6vpsr4rdavarkayfrgkybzhwf9va82jsnkd3z")))) (properties `((upstream-name . "AnnotationHubData"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-before 'install 'set-home (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-annotationdbi r-annotationforge r-annotationhub r-biobase r-bioccheck r-biocgenerics r-biocmanager r-biocviews r-biostrings r-dbi r-futile-logger r-genomeinfodb r-genomicfeatures r-genomicranges r-graph r-iranges r-jsonlite r-organismdbi r-rcurl r-rsamtools r-rsqlite r-rtracklayer r-s4vectors r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AnnotationHubData") (synopsis "Transform public data resources into Bioconductor data structures") (description "This package provides tools to acquire, annotate, convert and store data for use in Bioconductor’s AnnotationHub.") (license license:artistic2.0))) (define-public r-anvil (package (name "r-anvil") (version "1.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "AnVIL" version)) (sha256 (base32 "06n0as71m3dfbnzjfq8f1s0r40w4flc8am7zb0293c1037clmcig")))) (properties `((upstream-name . "AnVIL"))) (build-system r-build-system) (propagated-inputs (list r-biocmanager r-dplyr r-dt r-futile-logger r-htmltools r-httr r-jsonlite r-miniui r-rapiclient r-rlang r-shiny r-tibble r-tidyr r-tidyselect)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AnVIL") (synopsis "Provides access to AnVIL, Terra, Leonardo and other projects") (description "The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The AnVIL package provides end-user and developer functionality. AnVIL provides fast binary package installation, utilities for working with Terra/AnVIL table and data resources, and convenient functions for file movement to and from Google cloud storage. For developers, AnVIL provides programatic access to the Terra, Leonardo, Rawls, Dockstore, and Gen3 RESTful programming interface, including helper functions to transform JSON responses to formats more amenable to manipulation in R.") (license license:artistic2.0))) (define-public r-aldex2 (package (name "r-aldex2") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ALDEx2" version)) (sha256 (base32 "0wchlw9dprw7vkw26h26ypx06xv2j0cxbidw61pcqaxmrrh14dhz")))) (properties `((upstream-name . "ALDEx2"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-directlabels r-genomicranges r-iranges r-lattice r-latticeextra r-multtest r-rfast r-s4vectors r-summarizedexperiment r-zcompositions)) (native-inputs (list r-knitr)) (home-page "https://github.com/ggloor/ALDEx_bioc") (synopsis "Analysis of differential abundance taking sample variation into account") (description "This package provides a differential abundance analysis for the comparison of two or more conditions. Useful for analyzing data from standard RNA-seq or meta-RNA-seq assays as well as selected and unselected values from in-vitro sequence selections. Uses a Dirichlet-multinomial model to infer abundance from counts, optimized for three or more experimental replicates. The method infers biological and sampling variation to calculate the expected false discovery rate, given the variation, based on a Wilcoxon Rank Sum test and Welch's t-test, a Kruskal-Wallis test, a generalized linear model, or a correlation test. All tests report p-values and Benjamini-Hochberg corrected p-values. ALDEx2 also calculates expected standardized effect sizes for paired or unpaired study designs.") ;; The code for the function "rdirichlet" is from the R package ;; "mc2d_0.1-14.tar.gz", which is denoted as GPL>=2, and where the ;; package's LICENSE is specified as GPL-3. (license (list license:agpl3+ license:gpl2+ license:gpl3)))) (define-public r-alevinqc (package (name "r-alevinqc") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "alevinQC" version)) (sha256 (base32 "0lhbh9xgkbrad9fqvxl4c6y0f2kgibn6sinp8znysk5m9z0ngpwp")))) (properties `((upstream-name . "alevinQC"))) (build-system r-build-system) (propagated-inputs (list r-cowplot r-dplyr r-dt r-ggally r-ggplot2 r-rcpp r-rjson r-rlang r-rmarkdown r-shiny r-shinydashboard r-tximport)) (native-inputs (list r-knitr)) (home-page "https://github.com/csoneson/alevinQC") (synopsis "Quality control reports for @code{Alevin} output") (description "The package @code{r-alevinqc} generates quality control reports summarizing the output from an @code{alevin} run. The reports can be generated as HTML or PDF files, or as Shiny applications.") (license license:expat))) (define-public r-alphabeta (package (name "r-alphabeta") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AlphaBeta" version)) (sha256 (base32 "0zja8mysw0ljkvk6vqdx4c9wpf45zs64iyazh90mlf6xhbrvqfvq")))) (properties `((upstream-name . "AlphaBeta"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-data-table r-dplyr r-expm r-ggplot2 r-gtools r-igraph r-optimx r-plotly r-stringr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AlphaBeta") (synopsis "Estimate epimutation rates and spectra from DNA methylations in plants") (description "The package @code{AlphaBeta} is a computational method for estimating epimutation rates and spectra from high-throughput DNA methylation data in plants. The method has been specifically designed to: @itemize @item analyze @emph{germline} epimutations in the context of multi-generational mutation accumulation lines; @item analyze @emph{somatic} epimutations in the context of plant development and aging. @end itemize") (license license:gpl3))) (define-public r-alpine (package (name "r-alpine") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "alpine" version)) (sha256 (base32 "1md4m9ln1mpxf7d2h7jnsjyi4zrviiqn9fzk1gkz2n6qj7jwpqbb")))) (properties `((upstream-name . "alpine"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-graph r-iranges r-rbgl r-rsamtools r-s4vectors r-speedglm r-stringr r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/alpine") (synopsis "Modeling and correcting fragment sequence bias") (description "The package @code{alpine} helps to model bias parameters and then using those parameters to estimate RNA-seq transcript abundance. @code{Alpine} is a package for estimating and visualizing many forms of sample-specific biases that can arise in RNA-seq, including fragment length distribution, positional bias on the transcript, read start bias (random hexamer priming), and fragment GC-content (amplification). It also offers bias-corrected estimates of transcript abundance in @dfn{FPKM}(Fragments Per Kilobase of transcript per Million mapped reads). It is currently designed for un-stranded paired-end RNA-seq data.") (license license:gpl2+))) (define-public r-alpsnmr (package (name "r-alpsnmr") (version "4.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AlpsNMR" version)) (sha256 (base32 "0141kayx20mm8skqr2210bpl76ra560ik7gf71iar03r3izcfczq")))) (properties `((upstream-name . "AlpsNMR"))) (build-system r-build-system) (propagated-inputs (list r-baseline r-biocparallel r-cli r-dplyr r-fs r-future r-generics r-ggplot2 r-glue r-htmltools r-magrittr r-matrixstats r-mixomics r-pcapp r-purrr r-readxl r-reshape2 r-rlang r-rmarkdown r-scales r-signal r-speaq r-stringr r-tibble r-tidyr r-tidyselect r-vctrs)) (native-inputs (list r-knitr)) (home-page "https://sipss.github.io/AlpsNMR/") (synopsis "Automated spectral processing system for NMR") (description "This package reads Bruker @acronym{NMR, Nuclear Magnetic Resonance} data directories both zipped and unzipped. It provides automated and efficient signal processing for untargeted NMR metabolomics. It is able to interpolate the samples, detect outliers, exclude regions, normalize, detect peaks, align the spectra, integrate peaks, manage metadata and visualize the spectra. After spectra processing, it can apply multivariate analysis on extracted data. Efficient plotting with 1-D data is also available. Basic reading of 1D ACD/Labs exported JDX samples is also available.") (license license:expat))) (define-public r-altcdfenvs (package (name "r-altcdfenvs") (version "2.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "altcdfenvs" version)) (sha256 (base32 "17kgiqa5dbfp74jrm565wlx9sj4ydbds2y8ahs7dikvdvm725qsn")))) (properties `((upstream-name . "altcdfenvs"))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-biocgenerics r-biostrings r-hypergraph r-makecdfenv r-s4vectors)) (home-page "https://bioconductor.org/packages/altcdfenvs") (synopsis "Convenience data structures and functions to handle CDF environments") (description "The package is usable with Affymetrix GeneChip short oligonucleotide arrays, and it can be adapted or extended to other platforms. It is able to modify or replace the grouping of probes in the probe sets. Also, the package contains simple functions to read R connections in the FASTA format and it can create an alternative mapping from sequences.") (license license:gpl2+))) (define-public r-aneufinder (package (name "r-aneufinder") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AneuFinder" version)) (sha256 (base32 "0x7v60j1c1g12qlqxgshpmbnwzjbmlnkrfh60wl43inr0wyllq1l")))) (build-system r-build-system) (native-inputs (list r-knitr)) (propagated-inputs (list r-aneufinderdata r-bamsignals r-biocgenerics r-biostrings r-cowplot r-dnacopy r-doparallel r-ecp r-foreach r-genomeinfodb r-genomicalignments r-genomicranges r-ggdendro r-ggplot2 r-ggrepel r-iranges r-mclust r-reshape2 r-rsamtools r-s4vectors)) (home-page "https://bioconductor.org/packages/AneuFinder/") (synopsis "Copy number variation analysis in single-cell-sequencing data") (description "This package implements functions for copy number variant calling, plotting, export and analysis from whole-genome single cell sequencing data.") (license license:artistic2.0))) (define-public r-anf (package (name "r-anf") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ANF" version)) (sha256 (base32 "08vkkfccfq8j4hanxsmjx5657kkw4qcp46qfhqvp1sd6wym69wzw")))) (properties `((upstream-name . "ANF"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-igraph r-mass r-rcolorbrewer r-survival)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ANF") (synopsis "Affinity network fusion for complex patient clustering") (description "The package @dfn{ANF}(Affinity Network Fusion) provides methods for affinity matrix construction and fusion as well as spectral clustering. This package is used for complex patient clustering by integrating multi-omic data through affinity network fusion.") (license license:gpl3))) (define-public r-annmap (package (name "r-annmap") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annmap" version)) (sha256 (base32 "1gf0qdhj4ijgb6b67fh94zx084k5r87la3d7vc0qxs413rvr4mj8")))) (properties `((upstream-name . "annmap"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-dbi r-digest r-genefilter r-genomicranges r-iranges r-lattice r-rmysql r-rsamtools)) (home-page "https://github.com/cruk-mi/annmap") (synopsis "Genome annotation and visualisation for Affymetrix arrays and NGS analysis") (description "This package @code{annmap} provides annotation mappings for Affymetrix exon arrays and coordinate based queries to support deep sequencing data analysis. Database access is hidden behind the API which provides a set of functions such as @code{genesInRange()}, @code{geneToExon()}, @code{exonDetails()}, etc. Functions to plot gene architecture and BAM file data are also provided.") (license license:gpl2))) (define-public r-antiprofiles (package (name "r-antiprofiles") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "antiProfiles" version)) (sha256 (base32 "14lzyq08gnm9r99xwaqh50sz0dwzhmiyyylkg239dlbw80zmv404")))) (properties `((upstream-name . "antiProfiles"))) (build-system r-build-system) (propagated-inputs (list r-locfit r-matrixstats)) (home-page "https://github.com/HCBravoLab/antiProfiles") (synopsis "Implementation of gene expression anti-profiles") (description "This package implements the gene expression anti-profiles method. Anti-profiles are a new approach for developing cancer genomic signatures that specifically take advantage of gene expression heterogeneity. They explicitly model increased gene expression variability in cancer to define robust and reproducible gene expression signatures capable of accurately distinguishing tumor samples from healthy controls.") (license license:artistic2.0))) (define-public r-arrayexpress (package (name "r-arrayexpress") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ArrayExpress" version)) (sha256 (base32 "0cnb6r6rqbz5qph32aa1mghr0w2rhl6znyiblj0cbkv45mx2k4jr")))) (properties `((upstream-name . "ArrayExpress"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-httr r-jsonlite r-limma r-oligo r-rlang)) (home-page "https://bioconductor.org/packages/ArrayExpress") (synopsis "Building R objects from ArrayExpress datasets") (description "This package offers the possibility to access the ArrayExpress repository at @dfn{EBI} (European Bioinformatics Institute) and build Bioconductor data structures: @code{ExpressionSet}, @code{AffyBatch}, @code{NChannelSet}.") (license license:artistic2.0))) (define-public r-arrayqualitymetrics (package (name "r-arrayqualitymetrics") (version "3.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "arrayQualityMetrics" version)) (sha256 (base32 "1k80ih7r3hf48r9rp9dl2wl8m17620dqr4fch49kdsq97hm5q5dm")))) (properties `((upstream-name . "arrayQualityMetrics"))) (build-system r-build-system) (propagated-inputs (list r-affy r-affyplm r-beadarray r-biobase r-genefilter r-gridsvg r-hmisc r-hwriter r-lattice r-latticeextra r-limma r-rcolorbrewer r-setrng r-svglite r-vsn r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/arrayQualityMetrics") (synopsis "Quality metrics report for microarray data sets") (description "This package generates microarray quality metrics reports for data in Bioconductor microarray data containers @code{(ExpressionSet}, @code{NChannelSet}, @code{AffyBatch}). One and two color array platforms are supported.") (license license:lgpl2.0+))) (define-public r-arraymvout (package (name "r-arraymvout") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "arrayMvout" version)) (sha256 (base32 "0z3ksx0yigan5aiq7vsdx78khlrcdxa4yd5b46rfn83gsrjbxzhz")))) (properties `((upstream-name . "arrayMvout"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-before 'install 'change-home-dir (lambda _ ;; Change from /homeless-shelter to /tmp for write permission. (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-affy r-affycontam r-biobase r-lumi r-mdqc r-parody)) (home-page "https://bioconductor.org/packages/arrayMvout") (synopsis "Multivariate outlier detection for expression array QA") (description "This package supports the application of diverse quality metrics to AffyBatch instances, summarizing these metrics via PCA, and then performing parametric outlier detection on the PCs to identify aberrant arrays with a fixed Type I error rate.") (license license:artistic2.0))) (define-public r-arrayquality (package (name "r-arrayquality") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "arrayQuality" version)) (sha256 (base32 "1bm46zf5c1i7fd848bqajv3agl05b93xsvam7034033ypyx6bf1z")))) (properties `((upstream-name . "arrayQuality"))) (build-system r-build-system) (propagated-inputs (list r-gridbase r-hexbin r-limma r-marray r-rcolorbrewer)) (home-page "http://arrays.ucsf.edu/") (synopsis "Assessing array quality on spotted arrays") (description "This package provides functions for performing print-run and array level quality assessment.") (license license:lgpl2.0+))) (define-public r-asafe (package (name "r-asafe") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ASAFE" version)) (sha256 (base32 "13pn2s59npp8lhc2sk9sa7dq8fy6jlq22c71n3rcjgxrrh690nb8")))) (properties `((upstream-name . "ASAFE"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ASAFE") (synopsis "Ancestry Specific Allele Frequency Estimation") (description "The @code{ASAFE} package contains a collection of functions that can be used to carry out an @dfn{EM} (Expectation–maximization) algorithm to estimate ancestry-specific allele frequencies for a bi-allelic genetic marker, e.g. an @dfn{SNP} (single nucleotide polymorphism) from genotypes and ancestry pairs.") (license license:artistic2.0))) (define-public r-aseb (package (name "r-aseb") (version "1.46.3") (source (origin (method url-fetch) (uri (bioconductor-uri "ASEB" version)) (sha256 (base32 "1da6ld3ij55l3saj05ink8i1f6gqwyrv896qh8g94dmh6vzn2xbr")))) (properties `((upstream-name . "ASEB"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/ASEB") (synopsis "Predict acetylated lysine sites") (description "ASEB is an R package to predict lysine sites that can be acetylated by a specific @dfn{KAT} (K-acetyl-transferases) family. Lysine acetylation is a well-studied posttranslational modification on kinds of proteins. About four thousand lysine acetylation sites and over 20 lysine KATs have been identified. However, which KAT is responsible for a given protein or lysine site acetylation is mostly unknown. In this package, we use a @dfn{GSEA}-like (Gene Set Enrichment Analysis) method to make predictions. GSEA method was developed and successfully used to detect coordinated expression changes and find the putative functions of the long non-coding RNAs.") (license license:gpl3+))) (define-public r-asgsca (package (name "r-asgsca") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ASGSCA" version)) (sha256 (base32 "13nk19rccrp0xl1s5gjwydpl1ayc7zc2izjrij9iz7fh2r79gn7f")))) (properties `((upstream-name . "ASGSCA"))) (build-system r-build-system) (propagated-inputs (list r-mass r-matrix)) (home-page "https://bioconductor.org/packages/ASGSCA") (synopsis "Analysis of associations between multiple genotypes and traits") (description "The package @dfn{ASGSCA} (Association Study using Generalized Structured Component Analysis) provides tools to model and test the association between multiple genotypes and multiple traits, taking into account the prior biological knowledge. Genes, and clinical pathways are incorporated in the model as latent variables.") (license license:gpl3))) (define-public r-asics (package (name "r-asics") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ASICS" version)) (sha256 (base32 "10wlmnlpn6ji256fp81rhsm2rsbsqsbvbjqqpw9vib11cwpam9wd")))) (properties `((upstream-name . "ASICS"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-ggplot2 r-glmnet r-gridextra r-matrix r-mvtnorm r-pepsnmr r-plyr r-quadprog r-ropls r-summarizedexperiment r-zoo)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ASICS") (synopsis "Automatic statistical identification in complex spectra") (description "ASICS quantifies concentration of metabolites in a complex spectrum. The identification of metabolites is performed by fitting a mixture model to the spectra of the library with a sparse penalty.") (license license:gpl2+))) (define-public r-aspli (package (name "r-aspli") (version "2.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ASpli" version)) (sha256 (base32 "0rj103vvff2c20r018491i71393x0idq22ri4zg3qibx2accd7jy")))) (properties `((upstream-name . "ASpli"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-biocstyle r-data-table r-dt r-edger r-genomicalignments r-genomicfeatures r-genomicranges r-gviz r-htmltools r-igraph r-iranges r-limma r-mass r-pbmcapply r-rsamtools r-s4vectors r-tidyr r-upsetr)) (home-page "https://bioconductor.org/packages/ASpli") (synopsis "Analysis of alternative splicing using RNA-Seq") (description "@dfn{AS} (alternative splicing) is a common mechanism of post-transcriptional gene regulation in eukaryotic organisms that expands the functional and regulatory diversity of a single gene by generating multiple mRNA isoforms that encode structurally and functionally distinct proteins. ASpli is an integrative pipeline and user-friendly R package that facilitates the analysis of changes in both annotated and novel AS events. ASpli integrates several independent signals in order to deal with the complexity that might arise in splicing patterns.") ;; The authors didn't specify any GPL version in description or in the ;; sources. (license (list license:gpl2+ license:gpl3+)))) (define-public r-assessorf (package (name "r-assessorf") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AssessORF" version)) (sha256 (base32 "0v64d3nmvcj6bz8zplyqzslm7kz6j3y0nl316h76g094hify64lk")))) (properties `((upstream-name . "AssessORF"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-decipher r-genomicranges r-iranges)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AssessORF") (synopsis "Assess gene predictions using proteomics and evolutionary conservation") (description "In order to assess the quality of a set of predicted genes for a genome, evidence must first be mapped to that genome. Next, each gene must be categorized based on how strong the evidence is for or against that gene. The AssessORF package provides the functions and class structures necessary for accomplishing those tasks, using proteomics hits and evolutionarily conserved start codons as the forms of evidence.") (license license:gpl3))) (define-public r-asset (package (name "r-asset") (version "2.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ASSET" version)) (sha256 (base32 "0mm15i59vsnz8zh2d10xnab3a6kq08hwd3pzm3r12g4wcrdsxfxc")))) (properties `((upstream-name . "ASSET"))) (build-system r-build-system) (propagated-inputs (list r-mass r-msm r-rmeta)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ASSET") (synopsis "Subset-based association analysis of heterogeneous traits and subtypes") (description "This package is an R program for the subset-based analysis of heterogeneous traits and disease subtypes. ASSET allows the user to search through all possible subsets of z-scores to identify the subset of traits giving the best meta-analyzed z-score. Further, it returns a p-value adjusting for the multiple-testing involved in the search. It also allows for searching for the best combination of disease subtypes associated with each variant.") (license license:gpl2))) (define-public r-atena (package (name "r-atena") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "atena" version)) (sha256 (base32 "1qfgy76d65hbx32fw1yf20n1vavylcafb9fgqqp02r455vk3xzng")))) (properties `((upstream-name . "atena"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-biocgenerics r-biocparallel r-genomeinfodb r-genomicalignments r-genomicranges r-iranges r-matrix r-matrixstats r-rsamtools r-s4vectors r-sparsematrixstats r-squarem r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/functionalgenomics/atena") (synopsis "Analysis of transposable elements") (description "The atena package quantifies expression of @dfn{TEs} (transposable elements) from RNA-seq data through different methods, including ERVmap, TEtranscripts and Telescope. A common interface is provided to use each of these methods, which consists of building a parameter object, calling the quantification function with this object and getting a @code{SummarizedExperiment} object as an output container of the quantified expression profiles. The implementation allows quantifing TEs and gene transcripts in an integrated manner.") (license license:artistic2.0))) (define-public r-atsnp (package (name "r-atsnp") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "atSNP" version)) (sha256 (base32 "1nksx6al1cr6apknvrabi3gdbr7m61ms81nmkq4qykx5aysmp8mv")))) (properties `((upstream-name . "atSNP"))) (build-system r-build-system) (propagated-inputs (list r-biocfilecache r-biocparallel r-bsgenome r-data-table r-ggplot2 r-lifecycle r-motifstack r-rappdirs r-rcpp r-testthat)) (native-inputs (list r-knitr)) (home-page "https://github.com/sunyoungshin/atSNP") (synopsis "Affinity test for identifying regulatory single nucleotide polymorphisms") (description "The atSNP package performs affinity tests of motif matches with the @dfn{SNP} (single nucleotide polymorphism) or the reference genomes and SNP-led changes in motif matches.") (license license:gpl2))) (define-public r-attract (package (name "r-attract") (version "1.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "attract" version)) (sha256 (base32 "0lk8gfbccrxly7gn629497sxz0mj3m9wcwdahqv1m7l6fjnf5563")))) (properties `((upstream-name . "attract"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-cluster r-gostats r-keggrest r-limma r-org-hs-eg-db r-reactome-db)) (home-page "https://bioconductor.org/packages/attract") (synopsis "Finding drivers of Kauffman's attractor landscape") (description "This package contains the functions to find the gene expression modules that represent the drivers of Kauffman's attractor landscape. The modules are the core attractor pathways that discriminate between different cell types of groups of interest. Each pathway has a set of synexpression groups, which show transcriptionally-coordinated changes in gene expression.") (license license:lgpl2.0+))) (define-public r-awfisher (package (name "r-awfisher") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AWFisher" version)) (sha256 (base32 "10c5qi040z2w46k7qdcd2yap11mzllllrbr0nx7gd9gfzwlx089s")))) (properties `((upstream-name . "AWFisher"))) (build-system r-build-system) (propagated-inputs (list r-edger r-limma)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AWFisher") (synopsis "Fast computing for adaptively weighted fisher's method") (description "This package is an implementation of the Adaptively Weighted Fisher's method, including fast p-value computing, variability index, and meta-pattern.") (license license:gpl3))) (define-public r-awst (package (name "r-awst") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "awst" version)) (sha256 (base32 "0hry7ynv69hqbwyhlsilf1f9w8yadidbn2ckm5dx9mnb5ihgkyvj")))) (properties `((upstream-name . "awst"))) (build-system r-build-system) (propagated-inputs (list r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/drisso/awst") (synopsis "Asymmetric within-sample transformation") (description "This package @dfn{awst} (Asymmetric Within-Sample Transformation) that regularizes RNA-seq read counts and reduces the effect of noise on the classification of samples. AWST comprises two main steps: standardization and smoothing. These steps transform gene expression data to reduce the noise of the lowly expressed features, which suffer from background effects and low signal-to-noise ratio, and the influence of the highly expressed features, which may be the result of amplification bias and other experimental artifacts.") (license license:expat))) (define-public r-baalchip (package (name "r-baalchip") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BaalChIP" version)) (sha256 (base32 "0d08mp12lw4qdy7w7i474ywcy2zgv940nc44w0gbb9h9dfl22crv")))) (properties `((upstream-name . "BaalChIP"))) (build-system r-build-system) (inputs (list perl)) ; extra/get.overlaps.v2_chrXY.perl (propagated-inputs (list r-coda r-doby r-doparallel r-foreach r-genomeinfodb r-genomicalignments r-genomicranges r-ggplot2 r-iranges r-reshape2 r-rsamtools r-scales)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BaalChIP") (synopsis "Analysis of allele-specific transcription factor binding in cancer genomes") (description "This package offers functions to process multiple @code{ChIP-seq BAM} files and detect allele-specific events. It computes allele counts at individual variants (SNPs/SNVs), implements extensive @dfn{QC} (quality control) steps to remove problematic variants, and utilizes a Bayesian framework to identify statistically significant allele-specific events. BaalChIP is able to account for copy number differences between the two alleles, a known phenotypical feature of cancer samples.") (license license:artistic2.0))) (define-public r-bags (package (name "r-bags") (version "2.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BAGS" version)) (sha256 (base32 "0356ragpcldr48yycqj91sn3bcqvvfp5spv2z02r8g6hs0dndwdh")))) (properties `((upstream-name . "BAGS"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-breastcancervdx)) (home-page "https://bioconductor.org/packages/BAGS") (synopsis "Bayesian approach for geneset selection") (description "This R package is providing functions to perform geneset significance analysis over simple cross-sectional data between 2 and 5 phenotypes of interest.") (license license:artistic2.0))) (define-public r-basespacer (package (name "r-basespacer") (version "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BaseSpaceR" version)) (sha256 (base32 "1ldsgrhxb1nm8xj7mws461apjknp9c2bhq3738f63i2qj9g25j4g")))) (properties `((upstream-name . "BaseSpaceR"))) (build-system r-build-system) (propagated-inputs (list r-rcurl r-rjsonio)) (home-page "https://bioconductor.org/packages/BaseSpaceR") (synopsis "R SDK for BaseSpace RESTful API") (description "This package provides an R interface to Illumina's BaseSpace cloud computing environment, enabling the fast development of data analysis and visualization tools. Besides providing an easy to use set of tools for manipulating the data from BaseSpace, it also facilitates the access to R's rich environment of statistical and data analysis tools.") (license license:asl2.0))) (define-public r-bac (package (name "r-bac") (version "1.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BAC" version)) (sha256 (base32 "00dkhns9n1x4wmlxjcw75h7iwwk37zlv1c2fi0g1mmsw1xvdjzp6")))) (properties `((upstream-name . "BAC"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/BAC") (synopsis "Bayesian analysis of Chip-chip experiment") (description "This package uses a Bayesian hierarchical model to detect enriched regions from ChIP-chip experiments. The common goal in analyzing this ChIP-chip data is to detect DNA-protein interactions from ChIP-chip experiments. The BAC package has mainly been tested with Affymetrix tiling array data. However, we expect it to work with other platforms (e.g. Agilent, Nimblegen, cDNA, etc.). Note that BAC does not deal with normalization, so you will have to normalize your data beforehand.") (license license:artistic2.0))) (define-public r-bader (package (name "r-bader") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BADER" version)) (sha256 (base32 "0zmf7a7lwsnk9gcg48vmzdvfmzhvnbawwg77pb4gy3cw9sjdz5ym")))) (properties `((upstream-name . "BADER"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/BADER") (synopsis "Bayesian analysis of differential expression in RNA sequencing data") (description "The BADER package is intended for the analysis of RNA sequencing data. The algorithm fits a Bayesian hierarchical model for RNA sequencing count data. BADER returns the posterior probability of differential expression for each gene between two groups A and B. The joint posterior distribution of the variables in the model can be returned in the form of posterior samples, which can be used for further down-stream analyses such as gene set enrichment.") (license license:gpl2))) (define-public r-badregionfinder (package (name "r-badregionfinder") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BadRegionFinder" version)) (sha256 (base32 "17smlghl8s667n6cjx64mqli9drmv0pkq51mhjlyjy2v019im7l9")))) (properties `((upstream-name . "BadRegionFinder"))) (build-system r-build-system) (propagated-inputs (list r-biomart r-genomicranges r-rsamtools r-s4vectors r-variantannotation)) (home-page "https://bioconductor.org/packages/BadRegionFinder") (synopsis "Identifying regions with bad coverage in sequence alignment data") (description "BadRegionFinder is a package for identifying regions with a bad, acceptable and good coverage in sequence alignment data available as bam files. The whole genome may be considered as well as a set of target regions. Various visual and textual types of output are available.") (license license:lgpl3))) (define-public r-bambu (package (name "r-bambu") (version "3.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bambu" version)) (sha256 (base32 "02pcab8jfwlx4y00yky63anba61bb1h884m0f6ajvasfpgl30w6i")))) (properties `((upstream-name . "bambu"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-bsgenome r-data-table r-dplyr r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-iranges r-rcpp r-rcpparmadillo r-rsamtools r-s4vectors r-summarizedexperiment r-tidyr r-xgboost)) (native-inputs (list r-knitr)) (home-page "https://github.com/GoekeLab/bambu") (synopsis "Isoform reconstruction and quantification for long read RNA-Seq data") (description "This R package is for multi-sample transcript discovery and quantification using long read RNA-Seq data. You can use bambu after read alignment to obtain expression estimates for known and novel transcripts and genes. The output from bambu can directly be used for visualisation and downstream analysis, such as differential gene expression or transcript usage.") (license license:gpl3))) (define-public r-bandits (package (name "r-bandits") (version "1.18.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BANDITS" version)) (sha256 (base32 "0y81m37c5irpaw9pfm5b672wk804n4x1g9g5pfh1dp7pggfwbf1z")))) (properties `((upstream-name . "BANDITS"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-data-table r-doparallel r-dorng r-drimseq r-foreach r-ggplot2 r-mass r-r-utils r-rcpp r-rcpparmadillo)) (native-inputs (list r-knitr)) (home-page "https://github.com/SimoneTiberi/BANDITS") (synopsis "Bayesian analysis of differential splicing") (description "BANDITS is a Bayesian hierarchical model for detecting differential splicing of genes and transcripts, via @dfn{DTU} (differential transcript usage), between two or more conditions. The method uses a Bayesian hierarchical framework, which allows for sample specific proportions in a Dirichlet-Multinomial model, and samples the allocation of fragments to the transcripts. Parameters are inferred via @dfn{MCMC} (Markov chain Monte Carlo) techniques and a DTU test is performed via a multivariate Wald test on the posterior densities for the average relative abundance of transcripts.") (license license:gpl3+))) (define-public r-banocc (package (name "r-banocc") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "banocc" version)) (sha256 (base32 "0y6mizkbx3s2x6465g53q87q0sixxrxhjvjmvwiilhirxf4x7hgp")))) (properties `((upstream-name . "banocc"))) (build-system r-build-system) (propagated-inputs (list r-coda r-mvtnorm r-rstan r-stringr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/banocc") (synopsis "Bayesian analysis of compositional covariance") (description "BAnOCC is a package designed for compositional data, where each sample sums to one. It infers the approximate covariance of the unconstrained data using a Bayesian model coded with @code{rstan}. It provides as output the @code{stanfit} object as well as posterior median and credible interval estimates for each correlation element.") (license license:expat))) (define-public r-barcodetrackr (package (name "r-barcodetrackr") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "barcodetrackR" version)) (sha256 (base32 "1w5p6dqagf3g27ymqsxdim0qhnwm11rrs3nnpp4mj8jcxm8wjsh9")))) (properties `((upstream-name . "barcodetrackR"))) (build-system r-build-system) (propagated-inputs (list r-circlize r-cowplot r-dplyr r-ggdendro r-ggplot2 r-ggridges r-magrittr r-plyr r-proxy r-rcolorbrewer r-rlang r-s4vectors r-scales r-shiny r-summarizedexperiment r-tibble r-tidyr r-vegan r-viridis)) (native-inputs (list r-knitr)) (home-page "https://github.com/dunbarlabNIH/barcodetrackR") (synopsis "Functions for analyzing cellular barcoding data") (description "This package is developed for the analysis and visualization of clonal tracking data. The required data is formed by samples and tag abundances in matrix form, usually from cellular barcoding experiments, integration site retrieval analyses, or similar technologies.") (license license:cc0))) (define-public r-biocversion (package (name "r-biocversion") (version "3.18.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocVersion" version)) (sha256 (base32 "15wr651ylbx3am213dsy5kdr1xc8r5c9rfq5ydxzqlmxzjgymj55")))) (properties `((upstream-name . "BiocVersion"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/BiocVersion/") (synopsis "Set the appropriate version of Bioconductor packages") (description "This package provides repository information for the appropriate version of Bioconductor.") (license license:artistic2.0))) (define-public r-biocgenerics (package (name "r-biocgenerics") (version "0.48.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocGenerics" version)) (sha256 (base32 "0av525j9l0y3kjdy5wl6s35sh4nsabmdclq3687l5258kmq2dq8k")))) (properties `((upstream-name . "BiocGenerics"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/BiocGenerics") (synopsis "S4 generic functions for Bioconductor") (description "This package provides S4 generic functions needed by many Bioconductor packages.") (license license:artistic2.0))) (define-public r-breakpointr (package (name "r-breakpointr") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "breakpointR" version)) (sha256 (base32 "1jhgimybc2ib201k6vs5nfyi1whpkkzn7nj562yhz74208fx793a")))) (properties `((upstream-name . "breakpointR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-breakpointrdata r-cowplot r-doparallel r-foreach r-genomeinfodb r-genomicalignments r-genomicranges r-ggplot2 r-gtools r-iranges r-rsamtools r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/daewoooo/BreakPointR") (synopsis "Find breakpoints in Strand-seq data") (description "This package implements functions for finding breakpoints, plotting and export of Strand-seq data.") (license license:expat))) (define-public r-cardelino (package (name "r-cardelino") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "cardelino" version)) (sha256 (base32 "0y4d3db01jwahz01hx3dswc4gg0x5k7325v4n1illgw3ddj2mvgn")))) (properties `((upstream-name . "cardelino"))) (build-system r-build-system) (propagated-inputs (list r-combinat r-genomeinfodb r-genomicranges r-ggplot2 r-ggtree r-matrix r-matrixstats r-pheatmap r-s4vectors r-snpstats r-variantannotation r-vcfr)) (native-inputs (list r-knitr)) (home-page "https://github.com/single-cell-genetics/cardelino") (synopsis "Clone identification from single cell data") (description "This package provides methods to infer clonal tree configuration for a population of cells using single-cell RNA-seq data (scRNA-seq), and possibly other data modalities. Methods are also provided to assign cells to inferred clones and explore differences in gene expression between clones. These methods can flexibly integrate information from imperfect clonal trees inferred based on bulk exome-seq data, and sparse variant alleles expressed in scRNA-seq data. A flexible beta-binomial error model that accounts for stochastic dropout events as well as systematic allelic imbalance is used.") (license license:gpl3))) (define-public r-cellid (package (name "r-cellid") (version "1.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "CelliD" version)) (sha256 (base32 "13hwxhdp268h3n8d8wgr75i60apa9mama9bg049yz7c6mj5ixd1v")))) (properties `((upstream-name . "CelliD"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-data-table r-fastmatch r-fgsea r-ggplot2 r-glue r-irlba r-matrix r-matrixstats r-pbapply r-rcpp r-rcpparmadillo r-reticulate r-rtsne r-scater r-seurat r-singlecellexperiment r-stringr r-summarizedexperiment r-tictoc r-umap)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/CelliD") (synopsis "Single cell gene signature extraction using multiple correspondence analysis") (description "CelliD is a clustering-free method for extracting per-cell gene signatures from scRNA-seq. CelliD allows unbiased cell identity recognition across different donors, tissues-of-origin, model organisms and single-cell omics protocols. The package can also be used to explore functional pathways enrichment in single cell data.") (license license:gpl3))) (define-public r-coregx (package (name "r-coregx") (version "2.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CoreGx" version)) (sha256 (base32 "0ffbi5afw759mi5r657h67hdh9yr5jrzvl3aigp960jzb5542105")))) (properties `((upstream-name . "CoreGx"))) (build-system r-build-system) (propagated-inputs (list r-bench r-biobase r-biocgenerics r-biocparallel r-bumpymatrix r-checkmate r-crayon r-data-table r-glue r-lsa r-matrixgenerics r-multiassayexperiment r-piano r-rlang r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/CoreGx") (synopsis "Classes and functions to serve as the basis for other Gx packages") (description "This package provides a collection of functions and classes which serve as the foundation for packages such as PharmacoGx and RadioGx. It was created to abstract shared functionality to increase ease of maintainability and reduce code repetition in current and future Gx suite programs. Major features include a @code{CoreSet} class, from which RadioSet and PharmacoSet are derived, along with get and set methods for each respective slot. Additional functions related to fitting and plotting dose response curves, quantifying statistical correlation and calculating @acronym{AUC, area under the curve} or @acronym{SF, survival fraction} are included.") (license license:gpl3+))) (define-public r-coverageview (package (name "r-coverageview") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CoverageView" version)) (sha256 (base32 "1sj1vr84nsbygkh5mmp7zm21zzk4zcw3bwcvcazmy54zs553blpf")))) (build-system r-build-system) (propagated-inputs (list r-genomicalignments r-genomicranges r-iranges r-rsamtools r-rtracklayer r-s4vectors)) (home-page "https://bioconductor.org/packages/CoverageView/") (synopsis "Coverage visualization package for R") (description "This package provides a framework for the visualization of genome coverage profiles. It can be used for ChIP-seq experiments, but it can be also used for genome-wide nucleosome positioning experiments or other experiment types where it is important to have a framework in order to inspect how the coverage distributed across the genome.") (license license:artistic2.0))) (define-public r-cummerbund (package (name "r-cummerbund") (version "2.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "cummeRbund" version)) (sha256 (base32 "1a5x3jzagd1a385yk1brs4say02r0l21qqjak4cl6fsv8ihhy05s")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-fastcluster r-ggplot2 r-gviz r-plyr r-reshape2 r-rsqlite r-rtracklayer r-s4vectors)) (home-page "https://bioconductor.org/packages/cummeRbund/") (synopsis "Analyze Cufflinks high-throughput sequencing data") (description "This package allows for persistent storage, access, exploration, and manipulation of Cufflinks high-throughput sequencing data. In addition, provides numerous plotting functions for commonly used visualizations.") (license license:artistic2.0))) (define-public r-dama (package (name "r-dama") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "daMA" version)) (sha256 (base32 "1ckk8h6adylaxq6bh14ym9vvrrhsfglnaigqz16v96vsj8q9i336")))) (properties `((upstream-name . "daMA"))) (build-system r-build-system) (propagated-inputs (list r-mass)) (home-page "https://bioconductor.org/packages/release/bioc/html/daMA.html") (synopsis "Efficient design and analysis of factorial two-colour microarray data") (description "This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data.") (license license:gpl2+))) (define-public r-damefinder (package (name "r-damefinder") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DAMEfinder" version)) (sha256 (base32 "0mbm884dm30b4fwf3qr1w96j18dxdmr2bn11dw83hh0wrbhp8njm")))) (properties `((upstream-name . "DAMEfinder"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-bumphunter r-cowplot r-genomeinfodb r-genomicalignments r-genomicranges r-ggplot2 r-iranges r-limma r-plyr r-readr r-reshape2 r-rsamtools r-s4vectors r-stringr r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DAMEfinder") (synopsis "Differential allelicly methylated regions") (description "This package offers functionality for taking methtuple or Bismark outputs to calculate @acronym{ASM, Allele-Specific Methylation} scores and compute @acronym{DAMEs, Differential Allelicly MEthylated} regions. It also offers nice visualization of methyl-circle plots.") (license license:expat))) (define-public r-dearseq (package (name "r-dearseq") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "dearseq" version)) (sha256 (base32 "1ldxw457zsfphm6izxz2kvxy3719gszhxb8mymx8njg6islljy27")))) (build-system r-build-system) (propagated-inputs (list r-compquadform r-dplyr r-ggplot2 r-kernsmooth r-magrittr r-matrixstats r-patchwork r-pbapply r-reshape2 r-rlang r-scattermore r-statmod r-survey r-tibble r-viridislite)) (native-inputs (list r-knitr)) (home-page "https://github.com/borishejblum/dearseq") (synopsis "DEA for RNA-seq data through a robust variance component test") (description "This is a package for Differential Expression Analysis of RNA-seq data. It features a variance component score test accounting for data heteroscedasticity through precision weights. Perform both gene-wise and gene set analyses, and can deal with repeated or longitudinal data.") (license license:gpl2))) (define-public r-debcam (package (name "r-debcam") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "debCAM" version)) (sha256 (base32 "1swqqrlwin2i2qq46qyfziblbfsfyd5hf6w39hygp7fdkpic14b7")) (snippet '(for-each delete-file '("inst/java/CornerDetect.jar" "inst/java/lib/pj20150107.jar"))))) (properties `((upstream-name . "debCAM"))) (build-system r-build-system) (arguments (list #:configure-flags '(list "--fake") #:modules '((guix build r-build-system) ((guix build ant-build-system) #:prefix ant:) (guix build utils)) #:imported-modules `((guix build ant-build-system) ,@%r-build-system-modules) #:phases '(modify-phases %standard-phases (add-after 'unpack 'build-jar (lambda* (#:key inputs #:allow-other-keys) (install-file (search-input-file inputs "/share/java/pj20150107.jar") "inst/java/lib") (with-directory-excursion "java" (mkdir "build") (invoke "javac" "-d" "./build" "-cp" "../inst/java/lib/pj20150107.jar" "CornerDetectTopN.java" "FixSizedPriorityQueue.java") (with-directory-excursion "build" (apply invoke "jar" "cvf" "../../inst/java/CornerDetect.jar" (find-files ".")))))) (add-after 'install 'strip-jar-timestamps (assoc-ref ant:%standard-phases 'strip-jar-timestamps))))) (inputs (list (list openjdk11 "jdk") java-pj)) (propagated-inputs (list r-apcluster r-biobase r-biocparallel r-corpcor r-dmwr2 r-geometry r-nmf r-nnls r-pcapp r-rjava r-summarizedexperiment)) (native-inputs (list r-knitr zip)) (home-page "https://bioconductor.org/packages/debCAM") (synopsis "Deconvolution by convex analysis of mixtures") (description "This package is an R implementation for fully unsupervised deconvolution of complex tissues. DebCAM provides basic functions to perform unsupervised deconvolution on mixture expression profiles by @acronym{CAM, Convex Analysis of Mixtures} and some auxiliary functions to help understand the subpopulation- specific results. It also implements functions to perform supervised deconvolution based on prior knowledge of molecular markers, S matrix or A matrix. Combining molecular markers from CAM and from prior knowledge can achieve semi-supervised deconvolution of mixtures.") (license license:gpl2))) (define-public r-decipher (package (name "r-decipher") (version "2.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DECIPHER" version)) (sha256 (base32 "1ri8ldx3dqcpfvn3mz0022f77zi6ki04mh27qp132bbrjkj6zl79")))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-dbi r-iranges r-rsqlite r-s4vectors r-xvector)) (home-page "https://www.bioconductor.org/packages/DECIPHER/") (synopsis "Tools for deciphering and managing biological sequences") (description "This package provides a toolset for deciphering and managing biological sequences.") (license license:gpl3))) (define-public r-deco (package (name "r-deco") (version "1.13.0") (source (origin (method url-fetch) (uri (bioconductor-uri "deco" version)) (sha256 (base32 "0d4abif3v62cbas6hl7pfw8q8jihh7nsra76k9cm6kz54qw4fbnw")))) (properties `((upstream-name . "deco"))) (build-system r-build-system) (propagated-inputs (list r-ade4 r-annotationdbi r-biobase r-biocparallel r-biocstyle r-cluster r-foreign r-gdata r-ggplot2 r-gplots r-gridextra r-limma r-locfit r-made4 r-rcolorbrewer r-reshape2 r-scatterplot3d r-sfsmisc r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/fjcamlab/deco") (synopsis "Decomposing heterogeneous cohorts using omic data profiling") (description "This package discovers differential features in hetero- and homogeneous omic data by a two-step method including subsampling LIMMA and NSCA. DECO reveals feature associations to hidden subclasses not exclusively related to higher deregulation levels.") (license license:gpl3+))) (define-public r-decomplexdisease (package (name "r-decomplexdisease") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DEComplexDisease" version)) (sha256 (base32 "12gw9b0gdwyih51j2gzay6vxhycgc52n8svd0slv6wsbw5rc19lh")))) (properties `((upstream-name . "DEComplexDisease"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-complexheatmap r-deseq2 r-edger r-rcpp r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DEComplexDisease") (synopsis "Investigations of complex diseases by bi-clustering analysis") (description "DEComplexDisease is designed to find the @acronym{DEGs, Differential Expressed Genes} for complex disease, which is characterized by the heterogeneous genomic expression profiles. Different from the established DEG analysis tools, it does not assume the patients of complex diseases to share the common DEGs. By applying a bi-clustering algorithm, DEComplexDisease finds the DEGs shared by as many patients. Applying the DEComplexDisease analysis results, users are possible to find the patients affected by the same mechanism based on the shared signatures.") (license license:gpl3))) (define-public r-decomptumor2sig (package (name "r-decomptumor2sig") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "decompTumor2Sig" version)) (sha256 (base32 "13vwrg82zprb9h72azdqd0rkm5k2xm4mw7viawbzwkkqvg6azsdj")))) (properties `((upstream-name . "decompTumor2Sig"))) (build-system r-build-system) (inputs (list perl)) ;script/extractSpecColumns.pl (propagated-inputs (list r-biocgenerics r-biostrings r-bsgenome-hsapiens-ucsc-hg19 r-data-table r-genomeinfodb r-genomicfeatures r-genomicranges r-ggplot2 r-ggseqlogo r-gridextra r-matrix r-plyr r-quadprog r-readxl r-s4vectors r-summarizedexperiment r-txdb-hsapiens-ucsc-hg19-knowngene r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://rmpiro.net/decompTumor2Sig/") (synopsis "Decomposition of individual tumors into mutational signatures") (description "The package uses quadratic programming for signature refitting, i.e., to decompose the mutation catalog from an individual tumor sample into a set of given mutational signatures (either Alexandrov-model signatures or Shiraishi-model signatures), computing weights that reflect the contributions of the signatures to the mutation load of the tumor.") (license license:gpl2))) (define-public r-deconrnaseq (package (name "r-deconrnaseq") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DeconRNASeq" version)) (sha256 (base32 "1k5xrx97w9g0jfvjzawyfsqyz2fj9r463nj849djxgmcw8vp53vg")))) (properties `((upstream-name . "DeconRNASeq"))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-limsolve r-pcamethods)) (home-page "https://bioconductor.org/packages/DeconRNASeq") (synopsis "Deconvolution of heterogeneous tissue samples for mRNA-Seq data") (description "DeconSeq is an R package for deconvolution of heterogeneous tissues based on mRNA-Seq data. It models the expression levels from heterogeneous cell populations in mRNA-Seq as the weighted average of expression from different constituting cell types and predicted cell type proportions of single expression profiles.") (license license:gpl2))) (define-public r-decontam (package (name "r-decontam") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "decontam" version)) (sha256 (base32 "0m4zd6qxsrp7w9a8psg8xcrviim6plwgwn4rgdxy8ag0c442fsvk")))) (properties `((upstream-name . "decontam"))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-reshape2)) (native-inputs (list r-knitr)) (home-page "https://github.com/benjjneb/decontam") (synopsis "Identification of contaminants in marker-gene and metagenomics data") (description "This package offers simple statistical identification of contaminating sequence features in marker-gene or metagenomics data. It works on any kind of feature derived from environmental sequencing data (e.g. ASVs, OTUs, taxonomic groups, MAGs, etc). Requires DNA quantitation data or sequenced negative control samples.") (license license:artistic2.0))) (define-public r-deconvr (package (name "r-deconvr") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "deconvR" version)) (sha256 (base32 "0pl4nwaf8swwz9nl2ynf9mm38d0x223gpz89qrj03yihxszy2n13")))) (properties `((upstream-name . "deconvR"))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biocgenerics r-data-table r-dplyr r-e1071 r-foreach r-genomicranges r-iranges r-magrittr r-mass r-matrixstats r-methylkit r-minfi r-nnls r-quadprog r-rsq r-s4vectors r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/BIMSBbioinfo/deconvR") (synopsis "Simulation and deconvolution of omic profiles") (description "This package provides a collection of functions designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model. Users are given the option to create or extend a reference atlas and,also simulate the desired size of the bulk signature profile of the reference cell types. The package includes the cell-type-specific methylation atlas and, Illumina Epic B5 probe ids that can be used in deconvolution. Additionally, we included @code{BSmeth2Probe}, to make mapping WGBS data to their probe IDs easier.") (license license:artistic2.0))) (define-public r-decoupler (package (name "r-decoupler") (version "2.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "decoupleR" version)) (sha256 (base32 "1vnlrkza33nb80qf810yfz66m3j84p8chhfdxak5lvpciqwx7dh9")))) (properties `((upstream-name . "decoupleR"))) (build-system r-build-system) (propagated-inputs (list r-broom r-dplyr r-magrittr r-matrix r-purrr r-rlang r-stringr r-tibble r-tidyr r-tidyselect r-withr)) (native-inputs (list r-knitr)) (home-page "https://saezlab.github.io/decoupleR/") (synopsis "Computational methods to infer biological activities from omics data") (description "Many methods allow us to extract biological activities from omics data using information from prior knowledge resources, reducing the dimensionality for increased statistical power and better interpretability. decoupleR is a Bioconductor package containing different statistical methods to extract these signatures within a unified framework. decoupleR allows the user to flexibly test any method with any resource. It incorporates methods that take into account the sign and weight of network interactions. decoupleR can be used with any omic, as long as its features can be linked to a biological process based on prior knowledge. For example, in transcriptomics gene sets regulated by a transcription factor, or in phospho-proteomics phosphosites that are targeted by a kinase.") (license license:gpl3))) (define-public r-deepsnv (package (name "r-deepsnv") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "deepSNV" version)) (sha256 (base32 "16dkjqy9ba5v8nikaxdjcz7rr60dg46sfsgrjjlp82rf3256bf8r")))) (properties `((upstream-name . "deepSNV"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomicranges r-iranges r-rhtslib r-summarizedexperiment r-variantannotation r-vgam)) (native-inputs (list r-knitr)) (home-page "https://github.com/gerstung-lab/deepSNV/") (synopsis "Detection of subclonal SNVs in deep sequencing data") (description "This package provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The deepSNV algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs. The shearwater algorithm computes a Bayes classifier based on a beta-binomial model for variant calling with multiple samples for precisely estimating model parameters - such as local error rates and dispersion - and prior knowledge, e.g. from variation data bases such as COSMIC.") (license license:gpl3))) (define-public r-degreport (package (name "r-degreport") (version "1.38.5") (source (origin (method url-fetch) (uri (bioconductor-uri "DEGreport" version)) (sha256 (base32 "0s0d40ac1da73w7j96lb20wchgs4c2svfrafsgi9mx5hiswfz25z")) (snippet '(delete-file "docs/jquery.sticky-kit.min.js")))) (properties `((upstream-name . "DEGreport"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (invoke "esbuild" (assoc-ref inputs "js-jquery-sticky-kit") "--minify" "--outfile=docs/jquery.sticky-kit.min.js")))))) (propagated-inputs (list r-biobase r-biocgenerics r-broom r-circlize r-cluster r-complexheatmap r-consensusclusterplus r-cowplot r-dendextend r-deseq2 r-dplyr r-edger r-ggdendro r-ggplot2 r-ggrepel r-knitr r-logging r-magrittr r-psych r-rcolorbrewer r-reshape r-rlang r-s4vectors r-scales r-stringi r-stringr r-summarizedexperiment r-tibble r-tidyr)) (native-inputs `(("esbuild" ,esbuild) ("r-knitr" ,r-knitr) ("js-jquery-sticky-kit" ,(origin (method url-fetch) (uri "https://raw.githubusercontent.com/leafo/sticky-kit/\ v1.1.2/jquery.sticky-kit.js") (sha256 (base32 "17c3a1hqc3ybwj7hpw8prazajp2x98aq7nyfn71h6lzjvblq297g")))))) (home-page "https://lpantano.github.io/DEGreport/") (synopsis "Report of DEG analysis") (description "This is a package for creating na HTML report of differential expression analyses of count data. It integrates some of the code mentioned in DESeq2 and @code{edgeR} vignettes, and report a ranked list of genes according to the fold changes mean and variability for each selected gene.") (license license:expat))) (define-public r-delayedarray (package (name "r-delayedarray") (version "0.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DelayedArray" version)) (sha256 (base32 "0mf30vdns64mpm11zcz9qx6nh5clr6krjvcmr7dqv2xg5ig0a1f7")))) (properties `((upstream-name . "DelayedArray"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-iranges r-matrix r-matrixgenerics r-s4arrays r-s4vectors r-sparsearray)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DelayedArray") (synopsis "Delayed operations on array-like objects") (description "Wrapping an array-like object (typically an on-disk object) in a @code{DelayedArray} object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like @code{DataFrame} objects (typically with Rle columns), @code{Matrix} objects, and ordinary arrays and data frames.") (license license:artistic2.0))) (define-public r-densvis (package (name "r-densvis") (version "1.12.1") (source (origin (method url-fetch) (uri (bioconductor-uri "densvis" version)) (sha256 (base32 "11a112r2ckzphqj3r3fxvablzwgri0j5lx3ggh1z6pfnv113xxwj")))) (properties `((upstream-name . "densvis"))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-basilisk r-irlba r-rcpp r-reticulate r-rtsne)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/densvis") (synopsis "Density-preserving data visualization via non-linear dimensionality reduction") (description "This package implements the density-preserving modification to t-SNE and UMAP described by Narayan et al. (2020) . den-SNE and densMAP aim to enable more accurate visual interpretation of high-dimensional datasets by producing lower-dimensional embeddings that accurately represent the heterogeneity of the original high-dimensional space, enabling the identification of homogeneous and heterogeneous cell states. This accuracy is accomplished by including in the optimisation process a term which considers the local density of points in the original high-dimensional space. This can help to create visualisations that are more representative of heterogeneity in the original high-dimensional space.") (license license:expat))) (define-public r-derfinder (package (name "r-derfinder") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "derfinder" version)) (sha256 (base32 "0rj3szlpbxiwj3rajmr6ccnbs1mkcskql12iip8zgswmhz76rxh1")))) (properties `((upstream-name . "derfinder"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-biocparallel r-bumphunter r-derfinderhelper r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicfiles r-genomicranges r-hmisc r-iranges r-qvalue r-rsamtools r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/lcolladotor/derfinder") (synopsis "Annotation-agnostic differential expression analysis of RNA-seq data") (description "This package provides functions for annotation-agnostic differential expression analysis of RNA-seq data. Two implementations of the DER Finder approach are included in this package: @enumerate @item single base-level F-statistics and @item DER identification at the expressed regions-level. @end enumerate The DER Finder approach can also be used to identify differentially bounded @code{ChIP-seq} peaks.") (license license:artistic2.0))) (define-public r-derfinderhelper (package (name "r-derfinderhelper") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "derfinderHelper" version)) (sha256 (base32 "01vq8xnszxqhijranzaciapw8mcn6px0jhx9zb9lyqhsvaffjh5r")))) (properties `((upstream-name . "derfinderHelper"))) (build-system r-build-system) (propagated-inputs (list r-iranges r-matrix r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/leekgroup/derfinderHelper") (synopsis "Helper for derfinder") (description "This package speeds up the derfinder package when using multiple cores. It is particularly useful when using BiocParallel and it helps reduce the time spent loading the full derfinder package when running the F-statistics calculation in parallel.") (license license:artistic2.0))) (define-public r-dmrcate (package (name "r-dmrcate") (version "2.16.1") (source (origin (method url-fetch) (uri (bioconductor-uri "DMRcate" version)) (sha256 (base32 "19dxpmjjg8v2l71yjjlfj0ycvmhi9rk04q59nwjcp0aw8nvk6l3w")))) (properties `((upstream-name . "DMRcate"))) (build-system r-build-system) (propagated-inputs (list r-biomart r-bsseq r-edger r-experimenthub r-genomeinfodb r-genomicranges r-gviz r-iranges r-limma r-minfi r-missmethyl r-plyr r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DMRcate") (synopsis "Methylation array and sequencing spatial analysis methods") (description "This is a package for de novo identification and extraction of @dfn{differentially methylated regions} (DMRs) from the human genome using @dfn{Whole Genome Bisulfite Sequencing} (WGBS) and Illumina Infinium Array (450K and EPIC) data. It provides functionality for filtering probes possibly confounded by SNPs and cross-hybridisation. It includes @code{GRanges} generation and plotting functions.") ;; GPLv3 with additional liability disclaimer. (license license:gpl3))) (define-public r-drimseq (package (name "r-drimseq") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DRIMSeq" version)) (sha256 (base32 "1nf044cfqywfnglm081xbppamva87z2j2xz0f51z8mra11apj6i6")))) (properties `((upstream-name . "DRIMSeq"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-edger r-genomicranges r-ggplot2 r-iranges r-limma r-mass r-reshape2 r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DRIMSeq") (synopsis "Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq") (description "The package provides two frameworks. One for the differential transcript usage analysis between different conditions and one for the tuQTL analysis. Both are based on modeling the counts of genomic features (i.e., transcripts) with the Dirichlet-multinomial distribution. The package also makes available functions for visualization and exploration of the data and results.") (license license:gpl3+))) (define-public r-dropletutils (package (name "r-dropletutils") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DropletUtils" version)) (sha256 (base32 "0bnxk72a0ygh4nqwyjzzi79zc4md8pwk0pr6jn43in0wdk054wf6")))) (properties `((upstream-name . "DropletUtils"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-bh r-biocgenerics r-biocparallel r-delayedarray r-delayedmatrixstats r-dqrng r-edger r-genomicranges r-hdf5array r-iranges r-matrix r-r-utils r-rcpp r-rhdf5 r-rhdf5lib r-s4vectors r-scuttle r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DropletUtils") (synopsis "Utilities for handling single-cell droplet data") (description "This package provides a number of utility functions for handling single-cell RNA-seq data from droplet technologies such as 10X Genomics. This includes data loading from count matrices or molecule information files, identification of cells from empty droplets, removal of barcode-swapped pseudo-cells, and downsampling of the count matrix.") (license license:gpl3))) ;; This is a CRAN package, but it depends on r-limma from Bioconductor. (define-public r-dsb (package (name "r-dsb") (version "1.0.3") (source (origin (method url-fetch) (uri (cran-uri "dsb" version)) (sha256 (base32 "1xzhd4q04c1vql49r6m4zskpx7f5hkl5hmdgr3gsbxb73xfs51v2")))) (properties `((upstream-name . "dsb"))) (build-system r-build-system) (propagated-inputs (list r-limma r-magrittr r-mclust)) (native-inputs (list r-knitr r-rmarkdown)) (home-page "https://github.com/niaid/dsb") (synopsis "Normalize & denoise droplet single cell protein data (CITE-Seq)") (description "R-dsb improves protein expression analysis in droplet-based single-cell studies. The package specifically addresses noise in raw protein UMI counts from methods like CITE-seq. It identifies and removes two main sources of noise—protein-specific noise from unbound antibodies and droplet/cell-specific noise. The package is applicable to various methods, including CITE-seq, REAP-seq, ASAP-seq, TEA-seq, and Mission Bioplatform data. Check the vignette for tutorials on integrating dsb with Seurat and Bioconductor, and using dsb in Python.") (license license:cc0))) (define-public r-dss (package (name "r-dss") (version "2.50.1") (source (origin (method url-fetch) (uri (bioconductor-uri "DSS" version)) (sha256 (base32 "1wjd428kz2w3n4ak13h3i1yknm03fh911jrcy2hkcip4z5cssla0")))) (properties `((upstream-name . "DSS"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocparallel r-bsseq)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DSS") (synopsis "Dispersion shrinkage for sequencing data") (description "DSS is an R library performing differential analysis for count-based sequencing data. It detects @dfn{differentially expressed genes} (DEGs) from RNA-seq, and differentially methylated loci or regions (DML/DMRs) from @dfn{bisulfite sequencing} (BS-seq). The core of DSS is a dispersion shrinkage method for estimating the dispersion parameter from Gamma-Poisson or Beta-Binomial distributions.") ;; Any version of the GPL (license (list license:gpl2+ license:gpl3+)))) (define-public r-dyndoc (package (name "r-dyndoc") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DynDoc" version)) (sha256 (base32 "0d2axaszy7rpi47yg4vhd1z70m53nx40znapgg5pq6ahrx7if5f1")))) (properties `((upstream-name . "DynDoc"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/DynDoc") (synopsis "Dynamic document tools") (description "This package provides a set of functions to create and interact with dynamic documents and vignettes.") (license license:artistic2.0))) (define-public r-bluster (package (name "r-bluster") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bluster" version)) (sha256 (base32 "16zkv567d39258syhfb215y04sq3pnfjh9pgbp5z85hcfpz4qmhc")))) (properties `((upstream-name . "bluster"))) (build-system r-build-system) (propagated-inputs (list r-biocneighbors r-biocparallel r-cluster r-igraph r-matrix r-rcpp r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/bluster") (synopsis "Clustering algorithms for Bioconductor") (description"This package wraps common clustering algorithms in an easily extended S4 framework. Backends are implemented for hierarchical, k-means and graph-based clustering. Several utilities are also provided to compare and evaluate clustering results.") (license license:gpl3))) (define-public r-ideoviz (package (name "r-ideoviz") (version "1.37.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IdeoViz" version)) (sha256 (base32 "1bhari5ghag5f5dlrgm79hckbh0bamd9567z04qi0spnfr97wf3s")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-genomeinfodb r-genomicranges r-iranges r-rcolorbrewer r-rtracklayer)) (home-page "https://bioconductor.org/packages/IdeoViz/") (synopsis "Plots data along a chromosomal ideogram") (description "This package provides functions to plot data associated with arbitrary genomic intervals along chromosomal ideogram.") (license license:gpl2))) (define-public r-infercnv (package (name "r-infercnv") (version "1.18.1") (source (origin (method url-fetch) (uri (bioconductor-uri "infercnv" version)) (sha256 (base32 "1d9in3hs2n91pv498715d3qi82c7xsnm42vnzgfyz096zjghgp7a")))) (properties `((upstream-name . "infercnv"))) (build-system r-build-system) (inputs (list python)) (propagated-inputs (list r-ape r-argparse r-biocgenerics r-catools r-coda r-coin r-digest r-doparallel r-dplyr r-edger r-fastcluster r-fitdistrplus r-foreach r-futile-logger r-future r-ggplot2 r-gplots r-gridextra r-hiddenmarkov r-igraph r-matrix r-paralleldist r-phyclust r-rann r-rcolorbrewer r-reshape2 r-rjags r-seurat r-singlecellexperiment r-summarizedexperiment r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/broadinstitute/inferCNV/wiki") (synopsis "Infer copy number variation from single-cell RNA-Seq data") (description "@code{InferCNV} is used to explore tumor single cell RNA-Seq data to identify evidence for somatic large-scale chromosomal copy number alterations, such as gains or deletions of entire chromosomes or large segments of chromosomes. This is done by exploring expression intensity of genes across positions of a tumor genome in comparison to a set of reference \"normal\" cells. A heatmap is generated illustrating the relative expression intensities across each chromosome, and it often becomes readily apparent as to which regions of the tumor genome are over-abundant or less-abundant as compared to that of normal cells.") (license license:bsd-3))) (define-public r-iranges (package (name "r-iranges") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IRanges" version)) (sha256 (base32 "0rhh82hrsm32bdjamfah84p7zi8fvr4shyq2rdjfxzdp9qy5rh2q")))) (properties `((upstream-name . "IRanges"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-s4vectors)) (home-page "https://bioconductor.org/packages/IRanges") (synopsis "Infrastructure for manipulating intervals on sequences") (description "This package provides efficient low-level and highly reusable S4 classes for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more generally, data that can be organized sequentially (formally defined as @code{Vector} objects), as well as views on these @code{Vector} objects. Efficient list-like classes are also provided for storing big collections of instances of the basic classes. All classes in the package use consistent naming and share the same rich and consistent \"Vector API\" as much as possible.") (license license:artistic2.0))) (define-public r-isoformswitchanalyzer (package (name "r-isoformswitchanalyzer") (version "2.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IsoformSwitchAnalyzeR" version)) (sha256 (base32 "1yin2jv06g3jrzadq6yjcr14jz1zzwyxipzna5csgr013dkkrl8h")))) (properties `((upstream-name . "IsoformSwitchAnalyzeR"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-dbi r-dexseq r-dplyr r-edger r-futile-logger r-genomeinfodb r-genomicranges r-ggplot2 r-gridextra r-iranges r-limma r-magrittr r-pfamanalyzer r-plyr r-rcolorbrewer r-rcurl r-readr r-reshape2 r-rtracklayer r-s4vectors r-saturn r-stringr r-summarizedexperiment r-sva r-tibble r-tidyr r-tximeta r-tximport r-venndiagram r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/IsoformSwitchAnalyzeR/") (synopsis "Analyze alternative splicing in RNA-seq data") (description "This is a package for the analysis of alternative splicing and isoform switches with predicted functional consequences (e.g. gain/loss of protein domains etc.) from quantification of all types of RNASeq by tools such as Kallisto, Salmon, StringTie, Cufflinks/Cuffdiff etc.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on qvalue from Bioconductor. (define-public r-isva (package (name "r-isva") (version "1.9") (source (origin (method url-fetch) (uri (cran-uri "isva" version)) (sha256 (base32 "05qx9q0kg4ma23v4abhihw0vz017nq6hv2jzsiqx4d20ngh1dl4z")))) (properties `((upstream-name . "isva"))) (build-system r-build-system) (propagated-inputs (list r-fastica r-jade r-qvalue)) (home-page "https://cran.r-project.org/package=isva") (synopsis "Independent surrogate variable analysis") (description "Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, ).") (license license:gpl2))) (define-public r-italics (package (name "r-italics") (version "2.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ITALICS" version)) (sha256 (base32 "0zk9n94nqw6vpw908ka32zppxwqkki9krzxib06y1nic3bri3w9i")))) (properties `((upstream-name . "ITALICS"))) (build-system r-build-system) (propagated-inputs (list r-affxparser r-dbi r-glad r-italicsdata r-oligo r-oligoclasses r-pd-mapping50k-xba240)) (home-page "http://bioinfo.curie.fr") (synopsis "Normalizing of the Affymetrix GeneChip human mapping") (description "This package provides tools for normalizing and analyzing of GeneChip Mapping 100K and 500K Set. Affymetrix GeneChip Human Mapping 100K and 500K Set allows the DNA copy number mea- surement of respectively 2× 50K and 2× 250K SNPs along the genome. Their high density allows a precise localization of genomic alterations and makes them a powerful tool for cancer and copy number polymorphism study.") (license license:gpl2))) ;; This is a CRAN package, but it depends on r-biobase and r-limma from Bioconductor. (define-public r-absfiltergsea (package (name "r-absfiltergsea") (version "1.5.1") (source (origin (method url-fetch) (uri (cran-uri "AbsFilterGSEA" version)) (sha256 (base32 "15srxkxsvn38kd5frdrwfdf0ad8gskrd0h01wmdf9hglq8fjrp7w")))) (properties `((upstream-name . "AbsFilterGSEA"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-deseq r-limma r-rcpp r-rcpparmadillo)) (home-page "https://cran.r-project.org/web/packages/AbsFilterGSEA/") (synopsis "Improved false positive control of gene-permuting with absolute filtering") (description "This package provides a function that performs gene-permuting of a gene-set enrichment analysis (GSEA) calculation with or without the absolute filtering. Without filtering, users can perform (original) two-tailed or one-tailed absolute GSEA.") (license license:gpl2))) ;; This is a CRAN package, but it depends on r-biobase from Bioconductor. (define-public r-bisquerna (package (name "r-bisquerna") (version "1.0.5") (source (origin (method url-fetch) (uri (cran-uri "BisqueRNA" version)) (sha256 (base32 "0p3p5lp69gri7vs6qfpm7br4ksbs4l7clm4nj8ki99wpqiqni23n")))) (properties `((upstream-name . "BisqueRNA"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-limsolve)) (native-inputs (list r-knitr)) (home-page "https://www.biorxiv.org/content/10.1101/669911v1") (synopsis "Decomposition of bulk expression with single-cell sequencing") (description "This package provides tools to accurately estimate cell type abundances from heterogeneous bulk expression. A reference-based method utilizes single-cell information to generate a signature matrix and transformation of bulk expression for accurate regression based estimates. A marker-based method utilizes known cell-specific marker genes to measure relative abundances across samples.") (license license:gpl3))) ;; This is a CRAN package, but it depends on r-bsgenome-hsapiens-ucsc-hg19 ;; from Bioconductor. (define-public r-deconstructsigs (package (name "r-deconstructsigs") (version "1.8.0") (source (origin (method url-fetch) (uri (cran-uri "deconstructSigs" version)) (sha256 (base32 "014x0nb23jb98666kaav2phkvmkr38pi38jv0dqd4jv7zp0gdf1a")))) (properties `((upstream-name . "deconstructSigs"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-genomeinfodb r-reshape2)) (home-page "https://github.com/raerose01/deconstructSigs") (synopsis "Identifies signatures present in a tumor sample") (description "This package takes sample information in the form of the fraction of mutations in each of 96 trinucleotide contexts and identifies the weighted combination of published signatures that, when summed, most closely reconstructs the mutational profile.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on Bioconductor packages. (define-public r-jetset (package (name "r-jetset") (version "3.4.0") (source (origin (method url-fetch) (uri (cran-uri "jetset" version)) (sha256 (base32 "0c99h5npsv2gf5d59s4qhkaqmjhbwa3prcykk24wzhnpfq6y6xhp")))) (properties `((upstream-name . "jetset"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-org-hs-eg-db)) (home-page "http://www.cbs.dtu.dk/biotools/jetset/") (synopsis "One-to-one gene-probeset mapping for Affymetrix human microarrays") (description "This package provides a one-to-one mapping from gene to \"best\" probe set for four Affymetrix human gene expression microarrays: hgu95av2, hgu133a, hgu133plus2, and u133x3p. On Affymetrix gene expression microarrays, a single gene may be measured by multiple probe sets. This can present a mild conundrum when attempting to evaluate a gene \"signature\" that is defined by gene names rather than by specific probe sets. This package also includes the pre-calculated probe set quality scores that were used to define the mapping.") (license license:artistic2.0))) (define-public r-nebulosa (package (name "r-nebulosa") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Nebulosa" version)) (sha256 (base32 "0kzkdwxrhl7plbcbqr58gnadhhbhx2811ian0s4kds14y4mxl26c")))) (properties `((upstream-name . "Nebulosa"))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-ks r-matrix r-patchwork r-seurat r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/powellgenomicslab/Nebulosa") (synopsis "Single-cell data visualisation using kernel gene-weighted density estimation") (description "This package provides a enhanced visualization of single-cell data based on gene-weighted density estimation. Nebulosa recovers the signal from dropped-out features and allows the inspection of the joint expression from multiple features (e.g. genes). @code{Seurat} and @code{SingleCellExperiment} objects can be used within Nebulosa.") (license license:gpl3))) ;; This is a CRAN package but it requires r-rcy3, a Bioconductor package. (define-public r-netgsa (package (name "r-netgsa") (version "4.0.5") (source (origin (method url-fetch) (uri (cran-uri "netgsa" version)) (sha256 (base32 "1m9myxsbvbljr038azxzakpbh20a21qhiy20d0ipvjc5asq3kfla")))) (properties `((upstream-name . "netgsa"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-corpcor r-data-table r-dplyr r-genefilter r-glassofast r-glmnet r-graph r-graphite r-httr r-igraph r-magrittr r-matrix r-msigdbr r-org-hs-eg-db r-quadprog r-rcpp r-rcppeigen r-rcy3 r-reshape2 r-rlang)) (native-inputs (list r-knitr)) (home-page "https://github.com/mikehellstern/netgsa") (synopsis "Network-Based gene set analysis") (description "This package lets you carry out network-based gene set analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data. It implements methods described in Shojaie A, Michailidis G (2010) , Shojaie A, Michailidis G (2009) , and Ma J, Shojaie A, Michailidis G (2016) .") (license license:gpl3+))) ;; This is a CRAN package, but it depends on Bioconductor packages. (define-public r-nmf (package (name "r-nmf") (version "0.26") (source (origin (method url-fetch) (uri (cran-uri "NMF" version)) (sha256 (base32 "1h1fpjnj6vjvi9ygxpfxs8k5bhly0aflr54zj88khgzkylp5ci4d")))) (properties `((upstream-name . "NMF"))) (build-system r-build-system) (propagated-inputs (list r-cluster r-codetools r-biobase r-biocmanager r-bigmemory ; suggested r-synchronicity ; suggested r-colorspace r-digest r-doparallel r-foreach r-ggplot2 r-gridbase r-rcolorbrewer r-registry r-reshape2 r-rngtools r-stringr)) (native-inputs (list r-knitr)) (home-page "https://renozao.github.io/NMF") (synopsis "Algorithms and framework for nonnegative matrix factorization") (description "This package provides a framework to perform Non-negative Matrix Factorization (NMF). The package implements a set of already published algorithms and seeding methods, and provides a framework to test, develop and plug new or custom algorithms. Most of the built-in algorithms have been optimized in C++, and the main interface function provides an easy way of performing parallel computations on multicore machines.") (license license:gpl2+))) (define-public r-affy (package (name "r-affy") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affy" version)) (sha256 (base32 "0lsvcv7nprmsh62d0r2v44a5n915crvv1cbj9ba6fdggj7wp8zyk")))) (build-system r-build-system) (propagated-inputs (list r-affyio r-biobase r-biocgenerics r-biocmanager r-preprocesscore r-zlibbioc)) (inputs (list zlib)) (home-page "https://bioconductor.org/packages/affy") (synopsis "Methods for affymetrix oligonucleotide arrays") (description "This package contains functions for exploratory oligonucleotide array analysis.") (license license:lgpl2.0+))) (define-public r-affycomp (package (name "r-affycomp") (version "1.78.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affycomp" version)) (sha256 (base32 "0818mgwny9hznw7lawrvmk11nwy0wxgjnlkf083vv3js4aq31gfp")))) (properties `((upstream-name . "affycomp"))) (build-system r-build-system) (propagated-inputs (list r-biobase)) (home-page "https://bioconductor.org/packages/affycomp/") (synopsis "Graphics toolbox for assessment of Affymetrix expression measures") (description "The package contains functions that can be used to compare expression measures for Affymetrix Oligonucleotide Arrays.") (license license:gpl2+))) (define-public r-affycompatible (package (name "r-affycompatible") (version "1.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AffyCompatible" version)) (sha256 (base32 "1bg7iqasvfsgd9x3ykgpblqnz1q06g3ifmzj4jf2kn8kxj63wfbl")))) (properties `((upstream-name . "AffyCompatible"))) (build-system r-build-system) (arguments (list #:phases `(modify-phases %standard-phases (add-after 'unpack 'make-reproducible (lambda _ ;; Order DTD elements before generating R code from them. (substitute* "R/methods-AffyCompatible.R" (("dtd <- .*" m) (string-append m " elements <- dtd$elements ordered <- elements[order(names(elements))]\n")) (("elt in dtd\\$elements") "elt in ordered")) ;; Use a predictable directory name for code generation. (mkdir-p "/tmp/NetAffxResourcePrototype") (substitute* "R/DataClasses.R" (("directory=tempdir\\(\\)") "directory=\"/tmp/NetAffxResourcePrototype\""))))))) (propagated-inputs (list r-biostrings r-rcurl r-xml)) (home-page "https://bioconductor.org/packages/AffyCompatible/") (synopsis "Work with Affymetrix GeneChip files") (description "This package provides an interface to Affymetrix chip annotation and sample attribute files. The package allows an easy way for users to download and manage local data bases of Affynmetrix NetAffx annotation files. It also provides access to @dfn{GeneChip Operating System} (GCOS) and @dfn{GeneChip Command Console} (AGCC)-compatible sample annotation files.") (license license:artistic2.0))) (define-public r-affycontam (package (name "r-affycontam") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affyContam" version)) (sha256 (base32 "1jxp4qacclfl07ig8dfwy5gpnsqrfqnjbci1a7znc7acqg0kv0zv")))) (properties `((upstream-name . "affyContam"))) (build-system r-build-system) (propagated-inputs (list r-affy r-affydata r-biobase)) (home-page "https://bioconductor.org/packages/affyContam/") (synopsis "Structured corruption of Affymetrix CEL file data") (description "Microarray quality assessment is a major concern of microarray analysts. This package provides some simple approaches to in silico creation of quality problems in CEL-level data to help evaluate performance of quality metrics.") (license license:artistic2.0))) (define-public r-affycoretools (package (name "r-affycoretools") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affycoretools" version)) (sha256 (base32 "0bgv8a7hf8ns472zfryf255zqdikjv08np6k6hkpvyivad25vpwy")))) (properties `((upstream-name . "affycoretools"))) (build-system r-build-system) (propagated-inputs (list r-affy r-annotationdbi r-biobase r-biocgenerics r-dbi r-edger r-gcrma r-ggplot2 r-glimma r-gostats r-gplots r-hwriter r-lattice r-limma r-oligoclasses r-reportingtools r-rsqlite r-s4vectors r-xtable)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/affycoretools/") (synopsis "Functions for analyses with Affymetrix GeneChips") (description "This package provides various wrapper functions that have been written to streamline the more common analyses that a Biostatistician might see.") (license license:artistic2.0))) (define-public r-affyio (package (name "r-affyio") (version "1.72.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affyio" version)) (sha256 (base32 "01shv7936cb5yynxkdssczl752ayv2rx4qkrkddqhi5smksw13z9")))) (build-system r-build-system) (propagated-inputs (list r-zlibbioc)) (inputs (list zlib)) (home-page "https://github.com/bmbolstad/affyio") (synopsis "Tools for parsing Affymetrix data files") (description "This package provides routines for parsing Affymetrix data files based upon file format information. The primary focus is on accessing the CEL and CDF file formats.") (license license:lgpl2.0+))) (define-public r-affxparser (package (name "r-affxparser") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "affxparser" version)) (sha256 (base32 "18qjdsgkmdhwv2c4sbixp7fn69sbjdipn363jnms95dksdj2xvr9")))) (properties `((upstream-name . "affxparser"))) (build-system r-build-system) (home-page "https://github.com/HenrikBengtsson/affxparser") (synopsis "Affymetrix File Parsing SDK") (description "This is a package for parsing Affymetrix files (CDF, CEL, CHP, BPMAP, BAR). It provides methods for fast and memory efficient parsing of Affymetrix files using the Affymetrix' Fusion SDK. Both ASCII- and binary-based files are supported. Currently, there are methods for reading @dfn{chip definition file} (CDF) and a @dfn{cell intensity file} (CEL). These files can be read either in full or in part. For example, probe signals from a few probesets can be extracted very quickly from a set of CEL files into a convenient list structure.") ;; The Fusion SDK contains files under GPLv2 and LGPLv2.1. The R code is ;; under LGPLv2+. (license (list license:lgpl2.0+ license:lgpl2.1 license:gpl2)))) (define-public r-annotate (package (name "r-annotate") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annotate" version)) (sha256 (base32 "10mdlbgbvdj967bih6wpvxmy91r10p8frhgcwv8mhv4g94ardasd")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-dbi r-httr r-xml r-xtable)) (home-page "https://bioconductor.org/packages/annotate") (synopsis "Annotation for microarrays") (description "This package provides R environments for the annotation of microarrays.") (license license:artistic2.0))) (define-public r-annotationdbi (package (name "r-annotationdbi") (version "1.64.1") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationDbi" version)) (sha256 (base32 "1bdr303a2z03c8vc8q95a4a4a8i956vimia5yik78yddd1ig9gq3")))) (properties `((upstream-name . "AnnotationDbi"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-dbi r-iranges r-keggrest r-rsqlite r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AnnotationDbi") (synopsis "Annotation database interface") (description "This package provides user interface and database connection code for annotation data packages using SQLite data storage.") (license license:artistic2.0))) (define-public r-annotationfilter (package (name "r-annotationfilter") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationFilter" version)) (sha256 (base32 "0cd2vcnx0pn5wba3x5q32vddjjp7fvix7yd7jrwv07a2fkv9c4p5")))) (properties `((upstream-name . "AnnotationFilter"))) (build-system r-build-system) (propagated-inputs (list r-genomicranges r-lazyeval)) (native-inputs (list r-knitr)) (home-page "https://github.com/Bioconductor/AnnotationFilter") (synopsis "Facilities for filtering Bioconductor annotation resources") (description "This package provides classes and other infrastructure to implement filters for manipulating Bioconductor annotation resources. The filters are used by @code{ensembldb}, @code{Organism.dplyr}, and other packages.") (license license:artistic2.0))) (define-public r-annotationforge (package (name "r-annotationforge") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationForge" version)) (sha256 (base32 "0dbbg0wvk1ndv20d5j80waaz0z1bsp7y2k2m17jly4ax2hc5frc9")))) (properties `((upstream-name . "AnnotationForge"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-dbi r-rcurl r-rsqlite r-s4vectors r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AnnotationForge") (synopsis "Code for building annotation database packages") (description "This package provides code for generating Annotation packages and their databases. Packages produced are intended to be used with AnnotationDbi.") (license license:artistic2.0))) (define-public r-annotationhub (package (name "r-annotationhub") (version "3.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationHub" version)) (sha256 (base32 "1mx3vip1rx5lq0vnkxpmkyksnq4vygmww85vxq3spr0fah1pwnkr")))) (properties `((upstream-name . "AnnotationHub"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocfilecache r-biocgenerics r-biocmanager r-biocversion r-curl r-dplyr r-httr r-interactivedisplaybase r-rappdirs r-rsqlite r-s4vectors r-yaml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AnnotationHub") (synopsis "Client to access AnnotationHub resources") (description "This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g. VCF, bed, wig) and other resources from standard locations (e.g. UCSC, Ensembl) can be discovered. The resource includes metadata about each resource, e.g., a textual description, tags, and date of modification. The client creates and manages a local cache of files retrieved by the user, helping with quick and reproducible access.") (license license:artistic2.0))) (define-public r-aroma-light (package (name "r-aroma-light") (version "3.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "aroma.light" version)) (sha256 (base32 "1i6rml0slfsf01a3sphyzrxp2z759psq5bv9cfy5dxx44fnav8b8")))) (properties `((upstream-name . "aroma.light"))) (build-system r-build-system) (propagated-inputs (list r-matrixstats r-r-methodss3 r-r-oo r-r-utils)) (home-page "https://github.com/HenrikBengtsson/aroma.light") (synopsis "Methods for normalization and visualization of microarray data") (description "This package provides methods for microarray analysis that take basic data types such as matrices and lists of vectors. These methods can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.") (license license:gpl2+))) (define-public r-bamsignals (package (name "r-bamsignals") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bamsignals" version)) (sha256 (base32 "1qv2gydn8awrkbhdrgxm8zxpicphqc29rwzkj3vyaa9glmnx2y34")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-genomicranges r-iranges r-rcpp r-rhtslib r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/bamsignals") (synopsis "Extract read count signals from bam files") (description "This package efficiently obtains count vectors from indexed bam files. It counts the number of nucleotide sequence reads in given genomic ranges and it computes reads profiles and coverage profiles. It also handles paired-end data.") (license license:gpl2+))) (define-public r-biobase (package (name "r-biobase") (version "2.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Biobase" version)) (sha256 (base32 "0znkawzr3hgbp2dkdk30ziqa6ylbq2nf0xmz4vi089cw9763lxgg")))) (properties `((upstream-name . "Biobase"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Biobase") (synopsis "Base functions for Bioconductor") (description "This package provides functions that are needed by many other packages on Bioconductor or which replace R functions.") (license license:artistic2.0))) (define-public r-biomart (package (name "r-biomart") (version "2.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biomaRt" version)) (sha256 (base32 "1m6c6m9z0d1k6s2q0ikd78ahcq72gzqnhlprdn0xvkjxrgh1i2lf")))) (properties `((upstream-name . "biomaRt"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocfilecache r-digest r-httr r-progress r-rappdirs r-stringr r-xml r-xml2)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/biomaRt") (synopsis "Interface to BioMart databases") (description "biomaRt provides an interface to a growing collection of databases implementing the @url{BioMart software suite, http://www.biomart.org}. The package enables retrieval of large amounts of data in a uniform way without the need to know the underlying database schemas or write complex SQL queries. Examples of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene, Wormbase and dbSNP mapped to Ensembl. These major databases give biomaRt users direct access to a diverse set of data and enable a wide range of powerful online queries from gene annotation to database mining.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package: ;; r-biomart (define-public r-biomartr (package (name "r-biomartr") (version "1.0.7") (source (origin (method url-fetch) (uri (cran-uri "biomartr" version)) (sha256 (base32 "0ic6qbk2xmgrcc0xhxyhjafp1xbf2c5dpbqqrbkprrhynr8mq7cx")))) (properties `((upstream-name . "biomartr"))) (build-system r-build-system) (propagated-inputs (list r-biomart r-biostrings r-curl r-data-table r-downloader r-dplyr r-fs r-httr r-jsonlite r-philentropy r-purrr r-r-utils r-rcurl r-readr r-stringr r-tibble r-withr r-xml)) (native-inputs (list r-knitr)) (home-page "https://docs.ropensci.org/biomartr/") (synopsis "Genomic data retrieval") (description "Perform large scale genomic data retrieval and functional annotation retrieval. This package aims to provide users with a standardized way to automate genome, proteome, RNA, coding sequence (CDS), GFF, and metagenome retrieval from NCBI RefSeq, NCBI Genbank, ENSEMBL, and UniProt databases. Furthermore, an interface to the BioMart database allows users to retrieve functional annotation for genomic loci. In addition, users can download entire databases such as NCBI RefSeq, NCBI nr, NCBI nt, NCBI Genbank, etc with only one command.") (license license:gpl2))) (define-public r-biocparallel (package (name "r-biocparallel") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocParallel" version)) (sha256 (base32 "19h80qf0zdxfg3pkcwwywh9gg0ymv92n51qpimnw4c3w5iaszy6b")))) (properties `((upstream-name . "BiocParallel"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'make-reproducible (lambda _ ;; Remove generated documentation. (for-each delete-file '("inst/doc/BiocParallel_BatchtoolsParam.pdf" "inst/doc/Errors_Logs_And_Debugging.pdf" "inst/doc/BiocParallel_BatchtoolsParam.R" "inst/doc/Introduction_To_BiocParallel.R" "inst/doc/Errors_Logs_And_Debugging.R" "inst/doc/Random_Numbers.R")) ;; Remove time-dependent macro (substitute* '("inst/doc/BiocParallel_BatchtoolsParam.Rnw" "inst/doc/Errors_Logs_And_Debugging.Rnw" "vignettes/BiocParallel_BatchtoolsParam.Rnw" "vignettes/Errors_Logs_And_Debugging.Rnw") (("\\today") "later")) ;; Initialize the random number generator seed when building. (substitute* "R/rng.R" (("\"L'Ecuyer-CMRG\"\\)" m) (string-append m "; if (!is.na(Sys.getenv(\"SOURCE_DATE_EPOCH\"))) {set.seed(100)}\n")))))))) (propagated-inputs (list r-bh r-codetools r-cpp11 r-futile-logger r-snow)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocParallel") (synopsis "Bioconductor facilities for parallel evaluation") (description "This package provides modified versions and novel implementation of functions for parallel evaluation, tailored to use with Bioconductor objects.") (license (list license:gpl2+ license:gpl3+)))) (define-public r-biostrings (package (name "r-biostrings") (version "2.70.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Biostrings" version)) (sha256 (base32 "198y36yfkncsp4sw00ij8cal45al67f9nx84bbszhygaq0jh504y")))) (properties `((upstream-name . "Biostrings"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-crayon r-genomeinfodb r-iranges r-s4vectors r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Biostrings") (synopsis "String objects and algorithms for biological sequences") (description "This package provides memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences.") (license license:artistic2.0))) (define-public r-biovizbase (package (name "r-biovizbase") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biovizBase" version)) (sha256 (base32 "01hli49aq1fjjgpk465znq1ki0qi7nxg71pqg18fz6nblg3ny9z5")))) (properties `((upstream-name . "biovizBase"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationfilter r-biocgenerics r-biostrings r-dichromat r-ensembldb r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-hmisc r-iranges r-rcolorbrewer r-rlang r-rsamtools r-s4vectors r-scales r-summarizedexperiment r-variantannotation)) (home-page "https://bioconductor.org/packages/biovizBase") (synopsis "Basic graphic utilities for visualization of genomic data") (description "The biovizBase package is designed to provide a set of utilities, color schemes and conventions for genomic data. It serves as the base for various high-level packages for biological data visualization. This saves development effort and encourages consistency.") (license license:artistic2.0))) (define-public r-bsgenome (package (name "r-bsgenome") (version "1.70.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BSgenome" version)) (sha256 (base32 "1bdrh1kp7ihnlyvgdvwdzly69l9zy5rr09gizm0l59zy4kh59nih")))) (properties `((upstream-name . "BSgenome"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocio r-biostrings r-genomeinfodb r-genomicranges r-iranges r-matrixstats r-rsamtools r-rtracklayer r-s4vectors r-xvector)) (home-page "https://bioconductor.org/packages/BSgenome") (synopsis "Infrastructure for Biostrings-based genome data packages") (description "This package provides infrastructure shared by all Biostrings-based genome data packages and support for efficient SNP representation.") (license license:artistic2.0))) (define-public r-category (package (name "r-category") (version "2.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Category" version)) (sha256 (base32 "19qyxqky1gsrjylmc2h0sndbqlk2ibrps7123gqwn19p8kg4nhf0")))) (properties `((upstream-name . "Category"))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-biocgenerics r-dbi r-genefilter r-graph r-gseabase r-matrix r-rbgl)) (home-page "https://bioconductor.org/packages/Category") (synopsis "Category analysis") (description "This package provides a collection of tools for performing category analysis.") (license license:artistic2.0))) (define-public r-champ (package (name "r-champ") (version "2.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChAMP" version)) (sha256 (base32 "1gdcdx34bxffd6ch354qx7yjngx3lj9chv5frwjyk56jq12vjjk7")))) (properties `((upstream-name . "ChAMP"))) (build-system r-build-system) (propagated-inputs (list r-bumphunter r-champdata r-combinat r-dendextend r-dmrcate r-dnacopy r-doparallel r-dt r-genomicranges r-ggplot2 r-globaltest r-goseq r-hmisc r-illumina450probevariants-db r-illuminahumanmethylation450kmanifest r-illuminahumanmethylationepicanno-ilm10b4-hg19 r-illuminahumanmethylationepicmanifest r-illuminaio r-impute r-isva r-kpmt r-limma r-marray r-matrixstats r-minfi r-missmethyl r-plotly r-plyr r-preprocesscore r-prettydoc r-quadprog r-qvalue r-rcolorbrewer r-rmarkdown r-rpmm r-shiny r-shinythemes r-sva r-watermelon)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ChAMP") (synopsis "Chip analysis methylation pipeline for Illumina HumanMethylation450 and EPIC") (description "The package includes quality control metrics, a selection of normalization methods and novel methods to identify differentially methylated regions and to highlight copy number alterations.") (license license:gpl3))) (define-public r-chipseeker (package (name "r-chipseeker") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChIPseeker" version)) (sha256 (base32 "0bx85y5888w85miif73y0yd9j4kdmjn1cfck1xshnqnsrh7p3m50")))) (build-system r-build-system) (native-inputs (list r-knitr)) (propagated-inputs (list r-annotationdbi r-aplot r-biocgenerics r-boot r-dplyr r-enrichplot r-genomeinfodb r-genomicfeatures r-genomicranges r-ggplot2 r-gplots r-gtools r-iranges r-magrittr r-plotrix r-rtracklayer r-s4vectors r-tibble r-txdb-hsapiens-ucsc-hg19-knowngene r-yulab-utils)) (home-page "https://www.bioconductor.org/packages/ChIPseeker/") (synopsis "ChIPseeker for ChIP peak annotation, comparison, and visualization") (description "This package implements functions to retrieve the nearest genes around the peak, annotate genomic region of the peak, statstical methods for estimate the significance of overlap among ChIP peak data sets, and incorporate GEO database for user to compare the own dataset with those deposited in database. The comparison can be used to infer cooperative regulation and thus can be used to generate hypotheses. Several visualization functions are implemented to summarize the coverage of the peak experiment, average profile and heatmap of peaks binding to TSS regions, genomic annotation, distance to TSS, and overlap of peaks or genes.") (license license:artistic2.0))) (define-public r-chipseq (package (name "r-chipseq") (version "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "chipseq" version)) (sha256 (base32 "1fw99xnll4jwdmp49jh59zxcbp3qs2850pjdg403sv4cg1bgfdyi")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-genomicranges r-iranges r-lattice r-s4vectors r-shortread)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/chipseq") (synopsis "Package for analyzing ChIPseq data") (description "This package provides tools for processing short read data from ChIPseq experiments.") (license license:artistic2.0))) (define-public r-complexheatmap (package (name "r-complexheatmap") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ComplexHeatmap" version)) (sha256 (base32 "0zzp0kci5daffpyv56advdcs05pz3nmjn07bmm7r3hwpk0nr3fcf")))) (properties `((upstream-name . "ComplexHeatmap"))) (build-system r-build-system) (propagated-inputs (list r-circlize r-clue r-codetools r-colorspace r-digest r-doparallel r-foreach r-getoptlong r-globaloptions r-iranges r-matrixstats r-png r-rcolorbrewer)) (native-inputs (list r-knitr)) (home-page "https://github.com/jokergoo/ComplexHeatmap") (synopsis "Making Complex Heatmaps") (description "Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential structures. This package provides a highly flexible way to arrange multiple heatmaps and supports self-defined annotation graphics.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on r-complexheatmap from ;; Bioconductor. (define-public r-conos (package (name "r-conos") (version "1.5.0") (source (origin (method url-fetch) (uri (cran-uri "conos" version)) (sha256 (base32 "1wdhb3jxh4id6xaghawzip8s264g9jxp4i5xy7jfhi67yfxszx6w")))) (properties `((upstream-name . "conos"))) (build-system r-build-system) (propagated-inputs (list r-abind r-complexheatmap r-cowplot r-dendextend r-dplyr r-ggplot2 r-ggrepel r-gridextra r-igraph r-irlba r-leidenalg r-magrittr r-matrix r-n2r r-r6 r-rcpp r-rcpparmadillo r-rcppeigen r-rcppprogress r-reshape2 r-rlang r-rtsne r-sccore)) (home-page "https://github.com/kharchenkolab/conos") (synopsis "Clustering on network of samples") (description "This package wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. Conos focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes.") (license license:gpl3))) (define-public r-copywriter (package (name "r-copywriter") (version "2.29.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CopywriteR" version)) (sha256 (base32 "1h4cyrjwdazgk49yzi9lvya8bfz9r4cpq19hyzikvc81ia8zdxs6")))) (properties `((upstream-name . "CopywriteR"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-chipseq r-copyhelper r-data-table r-dnacopy r-futile-logger r-genomeinfodb r-genomicalignments r-genomicranges r-gtools r-iranges r-matrixstats r-rsamtools r-s4vectors)) (home-page "https://github.com/PeeperLab/CopywriteR") (synopsis "Copy number information from targeted sequencing") (description "CopywriteR extracts DNA copy number information from targeted sequencing by utilizing off-target reads. It allows for extracting uniformly distributed copy number information, can be used without reference, and can be applied to sequencing data obtained from various techniques including chromatin immunoprecipitation and target enrichment on small gene panels. Thereby, CopywriteR constitutes a widely applicable alternative to available copy number detection tools.") (license license:gpl2))) (define-public r-deseq (package (name "r-deseq") (version "1.39.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DESeq" version)) (sha256 (base32 "047hph5aqmjnz1aqprziw0smdn5lf96hmwpnvqrxv1j2yfvcf3h1")))) (properties `((upstream-name . "DESeq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-genefilter r-geneplotter r-lattice r-locfit r-mass r-rcolorbrewer)) (home-page "https://www-huber.embl.de/users/anders/DESeq/") (synopsis "Differential gene expression analysis") (description "This package provides tools for estimating variance-mean dependence in count data from high-throughput genetic sequencing assays and for testing for differential expression based on a model using the negative binomial distribution.") (license license:gpl3+))) (define-public r-deseq2 (package (name "r-deseq2") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DESeq2" version)) (sha256 (base32 "1mz7v0vcl741zjvj63mk48hhbq6sk2fl2dwn9y1a6hr8fb79vy1a")))) (properties `((upstream-name . "DESeq2"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-genomicranges r-ggplot2 r-iranges r-locfit r-matrixgenerics r-matrixstats r-rcpp r-rcpparmadillo r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr r-rmarkdown)) (home-page "https://bioconductor.org/packages/DESeq2") (synopsis "Differential gene expression analysis") (description "This package provides functions to estimate variance-mean dependence in count data from high-throughput nucleotide sequencing assays and test for differential expression based on a model using the negative binomial distribution.") (license license:lgpl3+))) (define-public r-dexseq (package (name "r-dexseq") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DEXSeq" version)) (sha256 (base32 "1q59agaidf0nkq599iz54a253sjxzillj39za86ihfj5xws24f8w")))) (properties `((upstream-name . "DEXSeq"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biocparallel r-biomart r-deseq2 r-genefilter r-geneplotter r-genomicranges r-hwriter r-iranges r-rcolorbrewer r-rsamtools r-s4vectors r-statmod r-stringr r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DEXSeq") (synopsis "Inference of differential exon usage in RNA-Seq") (description "This package is focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.") (license license:gpl3+))) (define-public r-diffcyt (package (name "r-diffcyt") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "diffcyt" version)) (sha256 (base32 "1k3gzzgda29m2v7v8hqw7c2s8z778p0plqxag443lhsxcm6izcxi")))) (properties `((upstream-name . "diffcyt"))) (build-system r-build-system) (propagated-inputs (list r-circlize r-complexheatmap r-dplyr r-edger r-flowcore r-flowsom r-limma r-lme4 r-magrittr r-multcomp r-reshape2 r-s4vectors r-summarizedexperiment r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/lmweber/diffcyt") (synopsis "Differential discovery in high-dimensional cytometry") (description "This package provides statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a combination of high-resolution clustering and empirical Bayes moderated tests adapted from transcriptomics.") (license license:expat))) (define-public r-dirichletmultinomial (package (name "r-dirichletmultinomial") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DirichletMultinomial" version)) (sha256 (base32 "1rvic3acrf4qdag423f8xa6bnqrqr31vj7k4l7a5kzf1fjm359wy")))) (properties `((upstream-name . "DirichletMultinomial"))) (build-system r-build-system) (inputs (list gsl)) (propagated-inputs (list r-biocgenerics r-iranges r-s4vectors)) (home-page "https://bioconductor.org/packages/DirichletMultinomial") (synopsis "Dirichlet-Multinomial mixture models for microbiome data") (description "Dirichlet-multinomial mixture models can be used to describe variability in microbial metagenomic data. This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2): 1-15.") (license license:lgpl3))) (define-public r-dittoseq (package (name "r-dittoseq") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "dittoSeq" version)) (sha256 (base32 "17ks6bbhv8iw8grzlkibgqmwggrqp5hikg1p49m4a6b6bayillv2")))) (properties `((upstream-name . "dittoSeq"))) (build-system r-build-system) (propagated-inputs (list r-colorspace r-cowplot r-ggplot2 r-ggrepel r-ggridges r-gridextra r-pheatmap r-reshape2 r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/dittoSeq") (synopsis "Single-cell and bulk RNA sequencing visualization") (description "This package provides a universal, user friendly, single-cell and bulk RNA sequencing visualization toolkit that allows highly customizable creation of color blindness friendly, publication-quality figures. dittoSeq accepts both SingleCellExperiment (SCE) and Seurat objects, as well as the import and usage, via conversion to an SCE, of SummarizedExperiment or DGEList bulk data. Visualizations include dimensionality reduction plots, heatmaps, scatterplots, percent composition or expression across groups, and more. Customizations range from size and title adjustments to automatic generation of annotations for heatmaps, overlay of trajectory analysis onto any dimensionality reduciton plot, hidden data overlay upon cursor hovering via ggplotly conversion, and many more. All with simple, discrete inputs. Color blindness friendliness is powered by legend adjustments (enlarged keys), and by allowing the use of shapes or letter-overlay in addition to the carefully selected code{dittoColors()}.") (license license:expat))) (define-public r-edaseq (package (name "r-edaseq") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EDASeq" version)) (sha256 (base32 "0xvi5mynkf1n74bn2k6gxmyhp1piwzsljd37biibdfzy14r1ir08")))) (properties `((upstream-name . "EDASeq"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-aroma-light r-biobase r-biocgenerics r-biocmanager r-biomart r-biostrings r-genomicfeatures r-genomicranges r-iranges r-rsamtools r-shortread)) (native-inputs (list r-knitr)) (home-page "https://github.com/drisso/EDASeq") (synopsis "Exploratory data analysis and normalization for RNA-Seq") (description "This package provides support for numerical and graphical summaries of RNA-Seq genomic read data. Provided within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization. Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization.") (license license:artistic2.0))) (define-public r-edger (package (name "r-edger") (version "4.0.9") (source (origin (method url-fetch) (uri (bioconductor-uri "edgeR" version)) (sha256 (base32 "1jdpvswcnspiypk9c2wq01cgcv1l5061q9h8gc5khhk9jlyv44bg")))) (properties `((upstream-name . "edgeR"))) (build-system r-build-system) (propagated-inputs (list r-limma r-locfit r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://bioinf.wehi.edu.au/edgeR") (synopsis "EdgeR does empirical analysis of digital gene expression data") (description "This package can do differential expression analysis of RNA-seq expression profiles with biological replication. It implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. It be applied to differential signal analysis of other types of genomic data that produce counts, including ChIP-seq, SAGE and CAGE.") (license license:gpl2+))) (define-public r-enhancedvolcano (package (name "r-enhancedvolcano") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EnhancedVolcano" version)) (sha256 (base32 "097w3957m47m03iy8xc1m7pdgm3qy0kzqbllic8pd79qglrla802")))) (properties `((upstream-name . "EnhancedVolcano"))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-ggrepel)) (native-inputs (list r-knitr)) (home-page "https://github.com/kevinblighe/EnhancedVolcano") (synopsis "Publication-ready volcano plots with enhanced coloring and labeling") (description "Volcano plots represent a useful way to visualise the results of differential expression analyses. This package provides a highly-configurable function that produces publication-ready volcano plots. EnhancedVolcano will attempt to fit as many point labels in the plot window as possible, thus avoiding clogging up the plot with labels that could not otherwise have been read. Other functionality allows the user to identify up to 4 different types of attributes in the same plot space via color, shape, size, and shade parameter configurations.") (license license:gpl3))) (define-public r-enmix (package (name "r-enmix") (version "1.38.01") (source (origin (method url-fetch) (uri (bioconductor-uri "ENmix" version)) (sha256 (base32 "1wh9lri9dp3904c2n6562z7p9gqx39dmag55imx8zrqnayxamc03")))) (properties `((upstream-name . "ENmix"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-biobase r-doparallel r-dynamictreecut r-experimenthub r-foreach r-genefilter r-geneplotter r-gplots r-gtools r-illuminaio r-impute r-iranges r-irlba r-matrixstats r-minfi r-quadprog r-rpmm r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/release/bioc/html/ENmix.html") (synopsis "Quality control and analysis tools for Illumina DNA methylation BeadChip") (description "This package provides tools for quality control, analysis and visualization of Illumina DNA methylation array data.") (license license:artistic2.0))) (define-public r-ensembldb (package (name "r-ensembldb") (version "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ensembldb" version)) (sha256 (base32 "010fp03x1splddxmhpxlfv1i3paqgbcxm7l9z2lmm6zfixhb158a")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationfilter r-biobase r-biocgenerics r-biostrings r-curl r-dbi r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-protgenerics r-rsamtools r-rsqlite r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/jotsetung/ensembldb") (synopsis "Utilities to create and use Ensembl-based annotation databases") (description "The package provides functions to create and use transcript-centric annotation databases/packages. The annotation for the databases are directly fetched from Ensembl using their Perl API. The functionality and data is similar to that of the TxDb packages from the @code{GenomicFeatures} package, but, in addition to retrieve all gene/transcript models and annotations from the database, the @code{ensembldb} package also provides a filter framework allowing to retrieve annotations for specific entries like genes encoded on a chromosome region or transcript models of lincRNA genes.") ;; No version specified (license license:lgpl3+))) (define-public r-epidish (package (name "r-epidish") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EpiDISH" version)) (sha256 (base32 "170ym3y6gd1kxghz2g5ynvgi1wrxx87b568cjcvzidpqkrkg87s6")))) (properties `((upstream-name . "EpiDISH"))) (build-system r-build-system) (propagated-inputs (list r-e1071 r-locfdr r-mass r-matrix r-matrixstats r-quadprog r-stringr)) (native-inputs (list r-knitr)) (home-page "https://github.com/sjczheng/EpiDISH") (synopsis "Epigenetic dissection of intra-sample-heterogeneity") (description "@code{EpiDISH} is a R package to infer the proportions of a priori known cell-types present in a sample representing a mixture of such cell-types. Right now, the package can be used on DNAm data of whole blood, generic epithelial tissue and breast tissue. Besides, the package provides a function that allows the identification of differentially methylated cell-types and their directionality of change in Epigenome-Wide Association Studies.") (license license:gpl2))) (define-public r-fastseg (package (name "r-fastseg") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "fastseg" version)) (sha256 (base32 "10g9mdh7nzdz2b1k5gg5hk35lpapcnbs3p3z17k15aq040lpm236")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-genomicranges r-iranges r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://www.bioinf.jku.at/software/fastseg/index.html") (synopsis "Fast segmentation algorithm for genetic sequencing data") (description "Fastseg implements a very fast and efficient segmentation algorithm. It can segment data from DNA microarrays and data from next generation sequencing for example to detect copy number segments. Further it can segment data from RNA microarrays like tiling arrays to identify transcripts. Most generally, it can segment data given as a matrix or as a vector. Various data formats can be used as input to fastseg like expression set objects for microarrays or GRanges for sequencing data.") (license license:lgpl2.0+))) (define-public r-gage (package (name "r-gage") (version "2.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gage" version)) (sha256 (base32 "0bm5hvy3cdcm46527w45mnnnk95qm28xzdk1m53615gh55ix4iy8")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-go-db r-graph r-keggrest)) (home-page (string-append "https://bmcbioinformatics.biomedcentral.com/" "articles/10.1186/1471-2105-10-161")) (synopsis "Generally applicable gene-set enrichment for pathway analysis") (description "GAGE is a published method for gene set (enrichment or GSEA) or pathway analysis. GAGE is generally applicable independent of microarray or RNA-Seq data attributes including sample sizes, experimental designs, assay platforms, and other types of heterogeneity. The gage package provides functions for basic GAGE analysis, result processing and presentation. In addition, it provides demo microarray data and commonly used gene set data based on KEGG pathways and GO terms. These functions and data are also useful for gene set analysis using other methods.") (license license:gpl2+))) (define-public r-genefilter (package (name "r-genefilter") (version "1.84.0") (source (origin (method url-fetch) (uri (bioconductor-uri "genefilter" version)) (sha256 (base32 "0q80z872d3z1jy69b53qxzvmshf5zx4qssmp4gj7fwdpfxj9qqjw")))) (build-system r-build-system) (native-inputs (list gfortran r-knitr)) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-matrixgenerics r-survival)) (home-page "https://bioconductor.org/packages/genefilter") (synopsis "Filter genes from high-throughput experiments") (description "This package provides basic functions for filtering genes from high-throughput sequencing experiments.") (license license:artistic2.0))) (define-public r-geneoverlap (package (name "r-geneoverlap") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GeneOverlap" version)) (sha256 (base32 "074d3inz8sh8xxjliisa0p99rgy6r9fg9ljaka5bf1waxwpknzpw")))) (build-system r-build-system) (propagated-inputs (list r-gplots r-rcolorbrewer)) (home-page "https://www.bioconductor.org/packages/GeneOverlap/") (synopsis "Test and visualize gene overlaps") (description "This package can be used to test two sets of gene lists and visualize the results.") (license license:gpl3))) (define-public r-genomation (package (name "r-genomation") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "genomation" version)) (sha256 (base32 "1vbpx187m5d5g307f4jiwyy1sw4jgj1s18622y3a458ixv540zkc")))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome r-data-table r-genomeinfodb r-genomicalignments r-genomicranges r-ggplot2 r-gridbase r-impute r-iranges r-matrixstats r-plotrix r-plyr r-rcpp r-readr r-reshape2 r-rsamtools r-rtracklayer r-s4vectors r-seqpattern)) (native-inputs (list r-knitr)) (home-page "https://bioinformatics.mdc-berlin.de/genomation/") (synopsis "Summary, annotation and visualization of genomic data") (description "This package provides a package for summary and annotation of genomic intervals. Users can visualize and quantify genomic intervals over pre-defined functional regions, such as promoters, exons, introns, etc. The genomic intervals represent regions with a defined chromosome position, which may be associated with a score, such as aligned reads from HT-seq experiments, TF binding sites, methylation scores, etc. The package can use any tabular genomic feature data as long as it has minimal information on the locations of genomic intervals. In addition, it can use BAM or BigWig files as input.") (license license:artistic2.0))) (define-public r-genomeinfodb (package (name "r-genomeinfodb") (version "1.38.5") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomeInfoDb" version)) (sha256 (base32 "17w5zrvpk2x0sc55xfkbn9krphg4aszmvwmj1qfsf1bdrazfpwic")))) (properties `((upstream-name . "GenomeInfoDb"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-genomeinfodbdata r-iranges r-rcurl r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GenomeInfoDb") (synopsis "Utilities for manipulating chromosome identifiers") (description "This package contains data and functions that define and allow translation between different chromosome sequence naming conventions (e.g., \"chr1\" versus \"1\"), including a function that attempts to place sequence names in their natural, rather than lexicographic, order.") (license license:artistic2.0))) (define-public r-genomicalignments (package (name "r-genomicalignments") (version "1.38.2") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicAlignments" version)) (sha256 (base32 "0i4n735xabdhlg7w2yd31lg65s9b6w12fhzij91hbcp0hs40fvw1")))) (properties `((upstream-name . "GenomicAlignments"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-biostrings r-genomeinfodb r-genomicranges r-iranges r-rsamtools r-s4vectors r-summarizedexperiment)) (home-page "https://bioconductor.org/packages/GenomicAlignments") (synopsis "Representation and manipulation of short genomic alignments") (description "This package provides efficient containers for storing and manipulating short genomic alignments (typically obtained by aligning short reads to a reference genome). This includes read counting, computing the coverage, junction detection, and working with the nucleotide content of the alignments.") (license license:artistic2.0))) (define-public r-genomicdatacommons (package (name "r-genomicdatacommons") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicDataCommons" version)) (sha256 (base32 "1inikcczkhav6h6a46ix9ixkf7b1n8rf766m5hmhmx09sspzsm5w")))) (properties `((upstream-name . "GenomicDataCommons"))) (build-system r-build-system) (propagated-inputs (list r-dplyr r-genomicranges r-httr r-iranges r-jsonlite r-magrittr r-rappdirs r-readr r-rlang r-tibble r-tidyr r-xml2)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GenomicDataCommons") (synopsis "NIH/NCI genomic data commons access") (description "This package lets you programmatically access the NIH/NCI Genomic Data Commons RESTful service.") (license license:artistic2.0))) (define-public r-genomicfeatures (package (name "r-genomicfeatures") (version "1.54.1") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicFeatures" version)) (sha256 (base32 "1b2rx16l7zd4lisqssbkcwi534s7m7h1w6k72km6c835x2cdxfs4")))) (properties `((upstream-name . "GenomicFeatures"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biocio r-biomart r-biostrings r-dbi r-genomeinfodb r-genomicranges r-iranges r-rcurl r-rsqlite r-rtracklayer r-s4vectors r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GenomicFeatures") (synopsis "Tools for working with transcript centric annotations") (description "This package provides a set of tools and methods for making and manipulating transcript centric annotations. With these tools the user can easily download the genomic locations of the transcripts, exons and cds of a given organism, from either the UCSC Genome Browser or a BioMart database (more sources will be supported in the future). This information is then stored in a local database that keeps track of the relationship between transcripts, exons, cds and genes. Flexible methods are provided for extracting the desired features in a convenient format.") (license license:artistic2.0))) (define-public r-genomicfiles (package (name "r-genomicfiles") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicFiles" version)) (sha256 (base32 "1kvys60hhb0ndjvjdanfgciq3jc42iag8r0a199gv6w5bjaxp6wm")))) (properties `((upstream-name . "GenomicFiles"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-genomeinfodb r-genomicalignments r-genomicranges r-iranges r-matrixgenerics r-rsamtools r-rtracklayer r-s4vectors r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GenomicFiles") (synopsis "Distributed computing by file or by range") (description "This package provides infrastructure for parallel computations distributed by file or by range. User defined mapper and reducer functions provide added flexibility for data combination and manipulation.") (license license:artistic2.0))) (define-public r-genomicranges (package (name "r-genomicranges") (version "1.54.1") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicRanges" version)) (sha256 (base32 "1vrs3r8dyhhwj0s3vwvr168s84x5hj10lnpg1xf5c2kbj26bdv0w")))) (properties `((upstream-name . "GenomicRanges"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-genomeinfodb r-iranges r-s4vectors r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GenomicRanges") (synopsis "Representation and manipulation of genomic intervals") (description "This package provides tools to efficiently represent and manipulate genomic annotations and alignments is playing a central role when it comes to analyzing high-throughput sequencing data (a.k.a. NGS data). The GenomicRanges package defines general purpose containers for storing and manipulating genomic intervals and variables defined along a genome.") (license license:artistic2.0))) (define-public r-glad (package (name "r-glad") (version "2.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GLAD" version)) (sha256 (base32 "04wyzn56crz7sa453qj07p90vvg8nwrqz54m9ms9vf9z8adpck51")))) (properties `((upstream-name . "GLAD"))) (build-system r-build-system) (inputs (list gsl)) (propagated-inputs (list r-aws)) (native-inputs (list pkg-config)) (home-page "http://bioinfo.curie.fr") (synopsis "Gain and loss analysis of DNA") (description "This package helps with the analysis of array @acronym{CGH, comparative genomic hybridization} data by detecting of the breakpoints in the genomic profiles and assignment of a status (gain, normal or loss) to each chromosomal regions identified.") (license license:gpl2))) (define-public r-globalancova (package (name "r-globalancova") (version "4.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GlobalAncova" version)) (sha256 (base32 "0j1ma04zjsvf668idms8hx1vnw3sh5yy8fbhwscyk1qbfy708cfh")))) (properties `((upstream-name . "GlobalAncova"))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-corpcor r-dendextend r-globaltest r-gseabase r-vgam)) (home-page "https://bioconductor.org/packages/GlobalAncova") (synopsis "Global test for groups of variables via model comparisons") (description "This package supports the computation of an F-test for the association between expression values and clinical entities. In many cases a two way layout with gene and a dichotomous group as factors will be considered. However, adjustment for other covariates and the analysis of arbitrary clinical variables, interactions, gene co-expression, time series data and so on is also possible. The test is carried out by comparison of corresponding linear models via the extra sum of squares principle.") (license license:gpl2+))) (define-public r-globaltest (package (name "r-globaltest") (version "5.56.0") (source (origin (method url-fetch) (uri (bioconductor-uri "globaltest" version)) (sha256 (base32 "14kcsx1gynl0fijq67qb5zvfxn4yqj8809p7535y455rd0vddp5r")))) (properties `((upstream-name . "globaltest"))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-survival)) (home-page "https://bioconductor.org/packages/globaltest") (synopsis "Test groups of covariates for association with a response variable") (description "The global test tests groups of covariates (or features) for association with a response variable. This package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.") (license license:gpl2+))) (define-public r-gostats (package (name "r-gostats") (version "2.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GOstats" version)) (sha256 (base32 "1v10ss1gf4a3qp6hbwa2f0la9sgiwhszg4c45qd6gv0dja2v30fs")))) (properties `((upstream-name . "GOstats"))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-annotationforge r-biobase r-category r-go-db r-graph r-rbgl r-rgraphviz)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GOstats") (synopsis "Tools for manipulating GO and microarrays") (description "This package provides a set of tools for interacting with GO and microarray data. A variety of basic manipulation tools for graphs, hypothesis testing and other simple calculations.") (license license:artistic2.0))) (define-public r-gseabase (package (name "r-gseabase") (version "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GSEABase" version)) (sha256 (base32 "1y7z3627shskwss8bzjz1xm02rv4s7cdi91v1xqdsbdayjkrh1nb")))) (properties `((upstream-name . "GSEABase"))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-biocgenerics r-graph r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GSEABase") (synopsis "Gene set enrichment data structures and methods") (description "This package provides classes and methods to support @dfn{Gene Set Enrichment Analysis} (GSEA).") (license license:artistic2.0))) (define-public r-gsva (package (name "r-gsva") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GSVA" version)) (sha256 (base32 "01w5j7fmi3hsfd282kcn4v41mi58z2yfhapff2zgf9swdfps4m6z")))) (properties `((upstream-name . "GSVA"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocparallel r-biocsingular r-delayedarray r-delayedmatrixstats r-gseabase r-hdf5array r-iranges r-matrix r-s4vectors r-singlecellexperiment r-sparsematrixstats r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/rcastelo/GSVA") (synopsis "Gene Set Variation Analysis for microarray and RNA-seq data") (description "Gene Set Variation Analysis (GSVA) is a non-parametric, unsupervised method for estimating variation of gene set enrichment through the samples of a expression data set. GSVA performs a change in coordinate systems, transforming the data from a gene by sample matrix to a gene-set by sample matrix, thereby allowing the evaluation of pathway enrichment for each sample. This new matrix of GSVA enrichment scores facilitates applying standard analytical methods like functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross-tissue pathway analysis, in a pathway-centric manner.") (license license:gpl2+))) (define-public r-harshlight (package (name "r-harshlight") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Harshlight" version)) (sha256 (base32 "1djs95l04b3qrqcb7jkzhfmxzbsn2riyydz8p2lmilg6z9rkdqx7")))) (properties `((upstream-name . "Harshlight"))) (build-system r-build-system) (propagated-inputs (list r-affy r-altcdfenvs r-biobase)) (home-page "http://asterion.rockefeller.edu/Harshlight/") (synopsis "Corrective make-up program for microarray chips") (description "The package detects extended diffuse and compact blemishes on microarray chips. Harshlight marks the areas in a collection of chips (affybatch objects). A corrected @code{AffyBatch} object will result. The package replaces the defected areas with @code{N/A}s or the median of the values of the same probe. The new version handles the substitute value as a whole matrix to solve the memory problem.") (license license:gpl2+))) (define-public r-hpar (package (name "r-hpar") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "hpar" version)) (sha256 (base32 "19jdy0q3larl5lxjzqlnyynq9rya56fyvf1yx9pwsyag1c148z08")))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp"))) (add-after 'unpack 'avoid-internet-access (lambda _ (setenv "GUIX_BUILD" "yes") (substitute* "R/zzz.R" (("ExperimentHub::createHubAccessors.*" m) (string-append "if (Sys.getenv(\"GUIX_BUILD\") == \"\") {" m "}")))))))) (propagated-inputs (list r-experimenthub)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/hpar/") (synopsis "Human Protein Atlas in R") (description "This package provides a simple interface to and data from the Human Protein Atlas project.") (license license:artistic2.0))) (define-public r-r3cseq (package (name "r-r3cseq") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "r3Cseq" version)) (sha256 (base32 "1llkfcy13h0c973703jmpgp2n6xxfsizb9iw1wxzgkbp1v0iy268")))) (properties `((upstream-name . "r3Cseq"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-data-table r-genomeinfodb r-genomicranges r-iranges r-qvalue r-rcolorbrewer r-rsamtools r-rtracklayer r-sqldf r-vgam)) (home-page "http://r3cseq.genereg.net/Site/index.html") (synopsis "Analysis of Chromosome conformation capture and Next-generation sequencing") (description "This package is used for the analysis of long-range chromatin interactions from 3C-seq assay.") (license license:gpl3))) (define-public r-r4rna (package (name "r-r4rna") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "R4RNA" version)) (sha256 (base32 "1qmr1s7z2f126wkwxjpr9fvak4i7mzgvfflkycgavbdqshn1rk6l")))) (properties `((upstream-name . "R4RNA"))) (build-system r-build-system) (propagated-inputs (list r-biostrings)) (home-page "https://www.e-rna.org/r-chie/") (synopsis "RNA visualization and analysis") (description "This package provides a package for RNA basepair analysis, including the visualization of basepairs as arc diagrams for easy comparison and annotation of sequence and structure. Arc diagrams can additionally be projected onto multiple sequence alignments to assess basepair conservation and covariation, with numerical methods for computing statistics for each.") (license license:gpl3))) (define-public r-radiogx (package (name "r-radiogx") (version "2.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RadioGx" version)) (sha256 (base32 "0ykmvva5h1y7x9bxhqqfc18car9nasy06v1jjban7dlm95dl8nmk")))) (properties `((upstream-name . "RadioGx"))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biobase r-biocgenerics r-biocparallel r-catools r-coregx r-data-table r-downloader r-magicaxis r-matrixstats r-rcolorbrewer r-reshape2 r-s4vectors r-scales r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/RadioGx") (synopsis "Analysis of large-scale radio-genomic data") (description "This package is a computational tool box for radio-genomic analysis which integrates radio-response data, radio-biological modelling and comprehensive cell line annotations for hundreds of cancer cell lines. The @code{RadioSet} class enables creation and manipulation of standardized datasets including information about cancer cells lines, radio-response assays and dose-response indicators. Included methods allow fitting and plotting dose-response data using established radio-biological models along with quality control to validate results. Additional functions related to fitting and plotting dose response curves, quantifying statistical correlation and calculating @acronym{AUC, area under the curve} or @acronym{SF, survival fraction} are included.") (license license:gpl3))) (define-public r-raggedexperiment (package (name "r-raggedexperiment") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RaggedExperiment" version)) (sha256 (base32 "07wx2icvxgrds1w7cx9pn99z6rzk2ih938j8g1laxmgx9sya74v6")))) (properties `((upstream-name . "RaggedExperiment"))) (build-system r-build-system) (propagated-inputs (list r-biocbaseutils r-biocgenerics r-genomeinfodb r-genomicranges r-iranges r-matrix r-matrixgenerics r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/RaggedExperiment") (synopsis "Representation of sparse experiments and assays across samples") (description "This package provides a flexible representation of copy number, mutation, and other data that fit into the ragged array schema for genomic location data. The basic representation of such data provides a rectangular flat table interface to the user with range information in the rows and samples/specimen in the columns. The @code{RaggedExperiment} class derives from a @code{GRangesList} representation and provides a semblance of a rectangular dataset.") (license license:artistic2.0))) (define-public r-rdisop (package (name "r-rdisop") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rdisop" version)) (sha256 (base32 "1jz063hsrrbrqqx8p5yknagw19hsw51arck591h95dckncxd0006")))) (properties `((upstream-name . "Rdisop"))) (build-system r-build-system) (propagated-inputs (list r-rcpp)) (home-page "https://github.com/sneumann/Rdisop") (synopsis "Decomposition of isotopic patterns") (description "This is a package for identification of metabolites using high precision mass spectrometry. MS peaks are used to derive a ranked list of sum formulae, alternatively for a given sum formula the theoretical isotope distribution can be calculated to search in MS peak lists.") (license license:gpl2))) (define-public r-rhtslib (package (name "r-rhtslib") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rhtslib" version)) (sha256 (base32 "1h0hzs4f4mmnpi436dgib9lakljacznkyyssy7c4mdd419431aq2")))) (properties `((upstream-name . "Rhtslib"))) (build-system r-build-system) ;; Without this a temporary directory ends up in the Rhtslib.so binary, ;; which makes R abort the build. (arguments '(#:configure-flags '("--no-staged-install"))) (propagated-inputs (list curl zlib ; packages using rhtslib need to link with zlib r-zlibbioc)) (native-inputs (list pkg-config r-knitr)) (home-page "https://github.com/nhayden/Rhtslib") (synopsis "High-throughput sequencing library as an R package") (description "This package provides the HTSlib C library for high-throughput nucleotide sequence analysis. The package is primarily useful to developers of other R packages who wish to make use of HTSlib.") (license license:lgpl2.0+))) (define-public r-rnbeads (package (name "r-rnbeads") (version "2.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RnBeads" version)) (sha256 (base32 "15z7l4nmpy01xm19717l27nwf3rfsn6wjv211fn2y4ls40mz75qp")))) (properties `((upstream-name . "RnBeads"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-cluster r-ff r-fields r-genomicranges r-ggplot2 r-gplots r-gridextra r-illuminaio r-iranges r-limma r-mass r-matrixstats r-methylumi r-plyr r-s4vectors)) (home-page "https://bioconductor.org/packages/RnBeads") (synopsis "RnBeads") (description "@code{RnBeads} facilitates comprehensive analysis of various types of DNA methylation data at the genome scale.") (license license:gpl3))) (define-public r-impute (package (name "r-impute") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "impute" version)) (sha256 (base32 "0q7mnx99ndna1r2r0v7jc3w8ly8qw33flwbgkcvrfhk6dzvbn4pl")))) (native-inputs (list gfortran)) (build-system r-build-system) (home-page "https://bioconductor.org/packages/impute") (synopsis "Imputation for microarray data") (description "This package provides a function to impute missing gene expression microarray data, using nearest neighbor averaging.") (license license:gpl2+))) (define-public r-interactivedisplay (package (name "r-interactivedisplay") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "interactiveDisplay" version)) (sha256 (base32 "0w81c5kc48gjavln50ysgr3vaf8s4fb6632ckzb1q225j9ik2gia")) (snippet '(for-each delete-file '("inst/www/js/d3.v2.js" "inst/www/js/jquery.js" "inst/www/js/jquery.min.js" "inst/www/js/jquery.dataTables.min.js" "inst/www/js/jquery.dataTables.nightly.js"))))) (properties `((upstream-name . "interactiveDisplay"))) (build-system r-build-system) (arguments (list #:modules '((guix build r-build-system) (guix build minify-build-system) (guix build utils) (ice-9 match)) #:imported-modules `(,@%r-build-system-modules (guix build minify-build-system)) #:phases #~(modify-phases (@ (guix build r-build-system) %standard-phases) (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (with-directory-excursion "inst/" (for-each (match-lambda ((source . target) (minify source #:target target))) `((,(assoc-ref inputs "js-jquery-1.8.2") . "www/js/jquery.js") (,(assoc-ref inputs "js-jquery-1.9.1") . "www/js/jquery.min.js") (,(search-input-file inputs "/share/javascript/jquery.dataTables.min.js") . "www/js/jquery.dataTables.min.js") (,(string-append (assoc-ref inputs "js-datatables-1.9") "/share/javascript/jquery.dataTables.min.js") . "www/js/jquery.dataTables.min.js") (,(string-append (assoc-ref inputs "js-datatables-1.10") "/share/javascript/jquery.dataTables.min.js") . "www/js/jquery.dataTables.nightly.js") (,(assoc-ref inputs "js-d3-v2") . "www/js/d3.v2.js"))))))))) (propagated-inputs (list r-annotationdbi r-biocgenerics r-biocmanager ;this is not listed in DESCRIPTION r-category r-ggplot2 r-gridsvg r-interactivedisplaybase r-plyr r-rcolorbrewer r-reshape2 r-shiny r-xml)) (native-inputs `(("esbuild" ,esbuild) ("r-knitr" ,r-knitr) ("js-d3-v2" ,(origin (method url-fetch) (uri "https://web.archive.org/web/20230428092426id_/https://d3js.org/d3.v2.js") (sha256 (base32 "1m57mxhcynfaz6gz3v0aph5i6hx5jf455jdygyl8yzs9r2dpp5vr")))) ("js-datatables-1.9" ,js-datatables-1.9) ("js-datatables-1.10" ,js-datatables) ("js-jquery-1.8.2" ,(origin (method url-fetch) (uri "https://code.jquery.com/jquery-1.8.2.js") (sha256 (base32 "0nikk2clbnyi02k0brvhbd8m43lfh4l1zrya35jya9sy6wb9b9ng")))) ("js-jquery-1.9.1" ,(origin (method url-fetch) (uri "https://code.jquery.com/jquery-1.9.1.js") (sha256 (base32 "0h4dk67yc9d0kadqxb6b33585f3x3559p6qmp70l00qwq030vn3v")))))) (home-page "https://bioconductor.org/packages/interactiveDisplay") (synopsis "Package for Shiny web displays of Bioconductor objects") (description "This package offers interactive Shiny displays for Bioconductor objects. In addition, this package empowers users to develop engaging visualizations and interfaces for working with Bioconductor data.") (license license:artistic2.0))) (define-public r-interactivedisplaybase (package (name "r-interactivedisplaybase") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "interactiveDisplayBase" version)) (sha256 (base32 "14cw90qlp8y4k0fs7xim8qvhzwbb8sn334mc72fkxg1h4bs8bxjw")))) (properties `((upstream-name . "interactiveDisplayBase"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-dt r-shiny)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/interactiveDisplayBase") (synopsis "Base package for web displays of Bioconductor objects") (description "This package contains the basic methods needed to generate interactive Shiny-based display methods for Bioconductor objects.") (license license:artistic2.0))) (define-public r-keggrest (package (name "r-keggrest") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "KEGGREST" version)) (sha256 (base32 "05fc1i1bcdvvy4mr4m2cdqxd3jrj1rxkxy7c43yrliv5dlikyb07")))) (properties `((upstream-name . "KEGGREST"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-httr r-png)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/KEGGREST") (synopsis "Client-side REST access to KEGG") (description "This package provides a package that provides a client interface to the @dfn{Kyoto Encyclopedia of Genes and Genomes} (KEGG) REST server.") (license license:artistic2.0))) (define-public r-lea (package (name "r-lea") (version "3.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "LEA" version)) (sha256 (base32 "1rhlrcp9rzf64rkabgk3gd8jqdg8ldwpkxvpfb6g49bgpkg1h6b1")))) (properties `((upstream-name . "LEA"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "http://membres-timc.imag.fr/Olivier.Francois/LEA/index.htm") (synopsis "R package for landscape and ecological association studies") (description "LEA is an R package dedicated to population genomics, landscape genomics and genotype-environment association tests. LEA can run analyses of population structure and genome-wide tests for local adaptation, and also performs imputation of missing genotypes. The package includes statistical methods for estimating ancestry coefficients from large genotypic matrices and for evaluating the number of ancestral populations (snmf). It performs statistical tests using latent factor mixed models for identifying genetic polymorphisms that exhibit association with environmental gradients or phenotypic traits (lfmm2). In addition, LEA computes values of genetic offset statistics based on new or predicted environments (@code{genetic.gap}, @code{genetic.offset}). LEA is mainly based on optimized programs that can scale with the dimensions of large data sets.") (license license:gpl3))) (define-public r-lfa (package (name "r-lfa") (version "2.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "lfa" version)) (sha256 (base32 "1xrwvw7227znd1h7426k8l86197yc24b4v608issh5fqglmhljns")))) (properties `((upstream-name . "lfa"))) (build-system r-build-system) (propagated-inputs (list r-corpcor r-rspectra)) (native-inputs (list r-knitr)) (home-page "https://github.com/StoreyLab/lfa") (synopsis "Logistic Factor Analysis for categorical data") (description "@dfn{Logistic Factor Analysis} (LFA) is a method for a PCA analogue on Binomial data via estimation of latent structure in the natural parameter.") (license license:gpl3))) (define-public r-limma (package (name "r-limma") (version "3.58.1") (source (origin (method url-fetch) (uri (bioconductor-uri "limma" version)) (sha256 (base32 "01byjnhhjyxk9x871rk8bgqq6lkp1a6dylqbdphpzp88b1jf2f9m")))) (build-system r-build-system) (native-inputs (list r-knitr)) (propagated-inputs (list r-statmod)) (home-page "https://bioinf.wehi.edu.au/limma") (synopsis "Package for linear models for microarray and RNA-seq data") (description "This package can be used for the analysis of gene expression studies, especially the use of linear models for analysing designed experiments and the assessment of differential expression. The analysis methods apply to different technologies, including microarrays, RNA-seq, and quantitative PCR.") (license license:gpl2+))) (define-public r-maaslin2 (package (name "r-maaslin2") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Maaslin2" version)) (sha256 (base32 "1d95dv46b36ncwb7zdn0wvshg4v73qjfs3hij0jmbkkxvf2il9iq")))) (properties `((upstream-name . "Maaslin2"))) (build-system r-build-system) (propagated-inputs (list r-biglm r-car r-chemometrics r-cplm r-data-table r-dplyr r-edger r-ggplot2 r-glmmtmb r-hash r-lme4 r-lmertest r-logging r-mass r-metagenomeseq r-optparse r-pbapply r-pcapp r-pheatmap r-pscl r-robustbase r-tibble r-vegan)) (native-inputs (list r-knitr)) (home-page "http://huttenhower.sph.harvard.edu/maaslin2") (synopsis "Multivariable association discovery in population-scale meta-omics studies") (description "MaAsLin2 is comprehensive R package for efficiently determining multivariable association between clinical metadata and microbial meta'omic features. This package relies on general linear models to accommodate most modern epidemiological study designs, including cross-sectional and longitudinal, and offers a variety of data exploration, normalization, and transformation methods.") (license license:expat))) (define-public r-made4 (package (name "r-made4") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "made4" version)) (sha256 (base32 "03fhiszlmjh8nvz3gppf45r9kpcjrdb601ar17c4f2aygjpkf0cg")))) (properties `((upstream-name . "made4"))) (build-system r-build-system) (propagated-inputs (list r-ade4 r-biobase r-gplots r-rcolorbrewer r-scatterplot3d r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "http://www.hsph.harvard.edu/aedin-culhane/") (synopsis "Multivariate analysis of microarray data using ADE4") (description "This is a package for multivariate data analysis and graphical display of microarray data. Functions are included for supervised dimension reduction (between group analysis) and joint dimension reduction of two datasets (coinertia analysis).") (license license:artistic2.0))) (define-public r-makecdfenv (package (name "r-makecdfenv") (version "1.78.0") (source (origin (method url-fetch) (uri (bioconductor-uri "makecdfenv" version)) (sha256 (base32 "0mggcw0390i1y2wn4k8570gjmbsx6hbipi8fkhz2zj9icsx89x1l")))) (properties `((upstream-name . "makecdfenv"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-affy r-affyio r-biobase r-zlibbioc)) (home-page "https://bioconductor.org/packages/makecdfenv") (synopsis "Chip description file environment maker") (description "This package implements two functions. One of them reads an Affymetrix @acronym{CDF, chip description file} and creates a hash table environment containing the location/probe set membership mapping. The other one creates a package that automatically loads that environment.") (license license:gpl2+))) (define-public r-manor (package (name "r-manor") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MANOR" version)) (sha256 (base32 "10zf6c1vx6cp4wg6axpmbpxk2hlmf6mga7rdh765fznwb71r4h0x")))) (properties `((upstream-name . "MANOR"))) (build-system r-build-system) (propagated-inputs (list r-glad)) (native-inputs (list r-knitr)) (home-page "http://bioinfo.curie.fr/projects/manor/index.html") (synopsis "CGH micro-array normalization") (description "This package ofers functions for importation, normalization, visualization, and quality control to correct identified sources of variability in array of @acronym{CGH, comparative genomic hybridization} experiments.") (license license:gpl2))) (define-public r-maser (package (name "r-maser") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "maser" version)) (sha256 (base32 "0h7x1fyfvnjc30w9ydbnlqijz58q2kcxv4yy784rf4adsrdhwh45")))) (properties `((upstream-name . "maser"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-data-table r-dplyr r-dt r-genomeinfodb r-genomicranges r-ggplot2 r-gviz r-iranges r-reshape2 r-rtracklayer)) (native-inputs (list r-knitr)) (home-page "https://github.com/DiogoVeiga/maser") (synopsis "Mapping alternative splicing events to proteins") (description "This package provides functionalities for downstream analysis, annotation and visualizaton of alternative splicing events generated by rMATS.") (license license:expat))) (define-public r-mdqc (package (name "r-mdqc") (version "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mdqc" version)) (sha256 (base32 "0q6ig9qdf2s9329wysrvgh13yq5c7n76as2c3mahqm78xb0mpplf")))) (properties `((upstream-name . "mdqc"))) (build-system r-build-system) (propagated-inputs (list r-cluster r-mass)) (home-page "https://bioconductor.org/packages/mdqc") (synopsis "Mahalanobis distance quality control for microarrays") (description "MDQC is a multivariate quality assessment method for microarrays based on quality control (QC) reports. The Mahalanobis distance of an array's quality attributes is used to measure the similarity of the quality of that array against the quality of the other arrays. Then, arrays with unusually high distances can be flagged as potentially low-quality.") (license license:lgpl2.0+))) (define-public r-metabocoreutils (package (name "r-metabocoreutils") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MetaboCoreUtils" version)) (sha256 (base32 "0bs24dwqlm8isp231jds51l7v16q0gjli1qmhjxyva3qmi5yb4dl")))) (properties `((upstream-name . "MetaboCoreUtils"))) (build-system r-build-system) (propagated-inputs (list r-mscoreutils)) (native-inputs (list r-knitr)) (home-page "https://github.com/RforMassSpectrometry/MetaboCoreUtils") (synopsis "Core utils for Metabolomics data") (description "@code{MetaboCoreUtils} defines metabolomics-related core functionality provided as low-level functions to allow a data structure-independent usage across various R packages. This includes functions to calculate between ion (adduct) and compound mass-to-charge ratios and masses or functions to work with chemical formulas. The package provides also a set of adduct definitions and information on some commercially available internal standard mixes commonly used in MS experiments.") (license license:artistic2.0))) (define-public r-metagenomeseq (package (name "r-metagenomeseq") (version "1.43.0") (source (origin (method url-fetch) (uri (bioconductor-uri "metagenomeSeq" version)) (sha256 (base32 "1m19qkwrbfr4yhbr1izfjka3brn1qasqql6alczv55l5h52m4s4b")))) (properties `((upstream-name . "metagenomeSeq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-foreach r-glmnet r-gplots r-limma r-matrix r-matrixstats r-rcolorbrewer r-wrench)) (native-inputs (list r-knitr)) (home-page "https://github.com/HCBravoLab/metagenomeSeq") (synopsis "Statistical analysis for sparse high-throughput sequencing") (description "MetagenomeSeq is designed to determine features (be it @acronym{OTU, Operational Taxanomic Unit}, species, etc.) that are differentially abundant between two or more groups of multiple samples. This package is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.") (license license:artistic2.0))) (define-public r-metaneighbor (package (name "r-metaneighbor") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MetaNeighbor" version)) (sha256 (base32 "0y8nk9jq0z48phg13mf6hsfg8l54w6z6b67g0k1c9gmsb7aqq04d")))) (properties `((upstream-name . "MetaNeighbor"))) (build-system r-build-system) (propagated-inputs (list r-beanplot r-dplyr r-ggplot2 r-gplots r-igraph r-matrix r-matrixstats r-rcolorbrewer r-singlecellexperiment r-summarizedexperiment r-tibble r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/MetaNeighbor") (synopsis "Single cell replicability analysis") (description "This package implements a method to rapidly assess cell type identity using both functional and random gene sets and it allows users to quantify cell type replicability across datasets using neighbor voting. @code{MetaNeighbor} works on the basis that cells of the same type should have more similar gene expression profiles than cells of different types.") (license license:expat))) (define-public r-methylaid (package (name "r-methylaid") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MethylAid" version)) (sha256 (base32 "0mzml9j6f7yycf9747ikkpfvxnwji07h8jhwa9a54ix2d0wyxk3d")))) (properties `((upstream-name . "MethylAid"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-ggplot2 r-gridbase r-hexbin r-matrixstats r-minfi r-rcolorbrewer r-shiny r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://git.bioconductor.org/packages/MethylAid") (synopsis "Quality control of large Illumina DNA Methylation array data sets") (description "This package provides a visual and interactive web application using RStudio's shiny package. Bad quality samples are detected using sample-dependent and sample-independent controls present on the array and user adjustable thresholds. In depth exploration of bad quality samples can be performed using several interactive diagnostic plots of the quality control probes present on the array. Furthermore, the impact of any batch effect provided by the user can be explored.") (license license:gpl2+))) (define-public r-methylkit (package (name "r-methylkit") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "methylKit" version)) (sha256 (base32 "0y45wa45kblm2g3nylvybvyfc34sjlynhsz3dirhs1favb83sdiv")))) (properties `((upstream-name . "methylKit"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-emdbook r-fastseg r-genomeinfodb r-genomicranges r-gtools r-iranges r-kernsmooth r-limma r-mclust r-mgcv r-qvalue r-r-utils r-rcpp r-rhtslib r-rsamtools r-rtracklayer r-s4vectors r-zlibbioc)) (native-inputs (list r-knitr)) ; for vignettes (home-page "https://github.com/al2na/methylKit") (synopsis "DNA methylation analysis from high-throughput bisulfite sequencing results") (description "MethylKit is an R package for DNA methylation analysis and annotation from high-throughput bisulfite sequencing. The package is designed to deal with sequencing data from @dfn{Reduced representation bisulfite sequencing} (RRBS) and its variants, but also target-capture methods and whole genome bisulfite sequencing. It also has functions to analyze base-pair resolution 5hmC data from experimental protocols such as oxBS-Seq and TAB-Seq.") (license license:artistic2.0))) (define-public r-mfuzz (package (name "r-mfuzz") (version "2.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Mfuzz" version)) (sha256 (base32 "0v2l3fi9331lxfam6az265rfk52g4n75hh4rg12ykhp86ihplzpf")))) (properties `((upstream-name . "Mfuzz"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-e1071 r-tkwidgets)) (home-page "http://mfuzz.sysbiolab.eu/") (synopsis "Soft clustering of time series gene expression data") (description "This is a package for noise-robust soft clustering of gene expression time-series data (including a graphical user interface).") (license license:gpl2))) (define-public r-mmuphin (package (name "r-mmuphin") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MMUPHin" version)) (sha256 (base32 "0lhvsx5yjvqh5d3h860sv8cf3h73nrzvljpkqrd9ks0irc4gcm6d")) ;; Delete generated files. (snippet '(for-each delete-file '("inst/doc/MMUPHin.R" "inst/doc/MMUPHin.html"))))) (properties `((upstream-name . "MMUPHin"))) (build-system r-build-system) (arguments (list #:phases #~(modify-phases %standard-phases (add-after 'unpack 'fix-includes (lambda _ (substitute* "inst/doc/MMUPHin.Rmd" (("\\.\\./man/figures") (string-append (getcwd) "/man/figures")) (("bibliography: references.bib") (string-append "bibliography: " (getcwd) "/vignettes/references.bib"))))) ;; Maaslin2 generates log files with timestamps. We don't need to ;; keep them. The generated PDF files also contain timestamps, so ;; we replace them with arbitrary fixed timestamps. (add-after 'check 'make-reproducible (lambda _ (for-each delete-file (find-files #$output "maaslin2.log")) (with-fluids ((%default-port-encoding "ISO-8859-1")) (substitute* (find-files #$output "\\.pdf$") (("/CreationDate \\(D:.*\\)") "/CreationDate (D:20230301143558)") (("/ModDate \\(D:.*\\)") "/ModDate (D:20230301143558)")))))))) ;; The DESCRIPTION file says that glpk is needed, but this package does ;; not seem to reference the library directly. (propagated-inputs (list r-cowplot r-dplyr r-fpc r-ggplot2 r-igraph r-maaslin2 r-metafor r-stringr r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/MMUPHin") (synopsis "Meta-analysis with uniform pipeline for heterogeneity in microbiome") (description "MMUPHin is an R package for meta-analysis tasks of microbiome cohorts. It has function interfaces for: @itemize @item covariate-controlled batch- and cohort effect adjustment; @item meta-analysis differential abundance testing; @item meta-analysis unsupervised discrete structure (clustering) discovery; @item meta-analysis unsupervised continuous structure discovery. @end itemize") (license license:expat))) (define-public r-modstrings (package (name "r-modstrings") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Modstrings" version)) (sha256 (base32 "1jjawwkvdx02ss2vw4ah2b8psgxr01z6r1rkr2pnkmrp2ma7ygks")))) (properties `((upstream-name . "Modstrings"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-crayon r-genomicranges r-iranges r-s4vectors r-stringi r-stringr r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Modstrings") (synopsis "Working with modified nucleotide sequences") (description "Representing nucleotide modifications in a nucleotide sequence is usually done via special characters from a number of sources. This represents a challenge to work with in R and the Biostrings package. The Modstrings package implements this functionallity for RNA and DNA sequences containing modified nucleotides by translating the character internally in order to work with the infrastructure of the Biostrings package. For this the @code{ModRNAString} and @code{ModDNAString} classes and derivates and functions to construct and modify these objects despite the encoding issues are implemenented. In addition the conversion from sequences to list like location information (and the reverse operation) is implemented as well.") (license license:artistic2.0))) (define-public r-motifrg (package (name "r-motifrg") (version "1.31.0") (source (origin (method url-fetch) (uri (bioconductor-uri "motifRG" version)) (sha256 (base32 "1ml6zyzlk8yjbnfhga2qnw8nl43rankvka0kc1yljxr2b66aqbhn")))) (properties `((upstream-name . "motifRG"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-iranges r-seqlogo r-xvector)) (home-page "https://bioconductor.org/packages/motifRG") (synopsis "Discover motifs in high throughput sequencing data") (description "This package provides tools for discriminative motif discovery in high throughput genetic sequencing data sets using regression methods.") (license license:artistic2.0))) (define-public r-muscat (package (name "r-muscat") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "muscat" version)) (sha256 (base32 "0vasr9rwnfjxbb3y2saq7gqzis5xyamgvns2rlywdxv1jm0nr8y3")))) (properties `((upstream-name . "muscat"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-blme r-complexheatmap r-data-table r-deseq2 r-dplyr r-edger r-ggplot2 r-glmmtmb r-limma r-lme4 r-lmertest r-matrix r-matrixstats r-progress r-purrr r-s4vectors r-scales r-scater r-sctransform r-scuttle r-singlecellexperiment r-summarizedexperiment r-variancepartition r-viridis)) (native-inputs (list r-knitr)) (home-page "https://github.com/HelenaLC/muscat") (synopsis "Multi-sample multi-group scRNA-seq data analysis tools") (description "This package @code{muscat} provides various methods and visualization tools for @dfn{DS}(differential splicing) analysis in multi-sample, multi-group, multi-(cell-)subpopulation scRNA-seq data, including cell-level mixed models and methods based on aggregated \"pseudobulk\" data, as well as a flexible simulation platform that mimics both single and multi-sample scRNA-seq data.") (license license:gpl3))) (define-public r-mutationalpatterns (package (name "r-mutationalpatterns") (version "3.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MutationalPatterns" version)) (sha256 (base32 "19ya4ax6pa727hdn0118l9pwa9dxgh89dz54mm66dawxga3jhar4")))) (build-system r-build-system) (native-inputs (list r-knitr)) (propagated-inputs (list r-biocgenerics r-biostrings r-bsgenome ;; These two packages are suggested packages r-bsgenome-hsapiens-1000genomes-hs37d5 r-bsgenome-hsapiens-ucsc-hg19 r-cowplot r-dplyr r-genomeinfodb r-genomicranges r-ggalluvial r-ggdendro r-ggplot2 r-iranges r-magrittr r-nmf r-pracma r-purrr r-rcolorbrewer r-s4vectors r-stringr r-tibble r-tidyr r-variantannotation)) (home-page "https://bioconductor.org/packages/MutationalPatterns/") (synopsis "Extract and visualize mutational patterns in genomic data") (description "This package provides an extensive toolset for the characterization and visualization of a wide range of mutational patterns in SNV base substitution data.") (license license:expat))) (define-public r-msa (package (name "r-msa") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "msa" version)) (sha256 (base32 "1csa8j64xrfr6kdnndr3876bplclca9wf6ydy9kg97xsjq7gz8q5")))) (properties `((upstream-name . "msa"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-iranges r-rcpp r-s4vectors)) (native-inputs (list r-knitr)) (home-page "http://www.bioinf.jku.at/software/msa/") (synopsis "Multiple sequence alignment") (description "The msa package provides a unified R/Bioconductor interface to the multiple sequence alignment algorithms ClustalW, ClustalOmega, and Muscle. All three algorithms are integrated in the package, therefore, they do not depend on any external software tools and are available for all major platforms. The multiple sequence alignment algorithms are complemented by a function for pretty-printing multiple sequence alignments using the LaTeX package TeXshade.") (license license:gpl2+))) (define-public r-msnbase (package (name "r-msnbase") (version "2.28.1") (source (origin (method url-fetch) (uri (bioconductor-uri "MSnbase" version)) (sha256 (base32 "1622mmm5n8yl4qjq8bda7689qdfz1rhyxyh8s3q5475al1d0mpsl")))) (properties `((upstream-name . "MSnbase"))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-biocgenerics r-biocparallel r-digest r-ggplot2 r-impute r-iranges r-lattice r-maldiquant r-mass r-mscoreutils r-mzid r-mzr r-pcamethods r-plyr r-protgenerics r-rcpp r-s4vectors r-scales r-vsn r-xml)) (native-inputs (list r-knitr)) (home-page "https://github.com/lgatto/MSnbase") (synopsis "Base functions and classes for MS-based proteomics") (description "This package provides basic plotting, data manipulation and processing of mass spectrometry based proteomics data.") (license license:artistic2.0))) (define-public r-msnid (package (name "r-msnid") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MSnID" version)) (sha256 (base32 "1hmfh7v7p5d741x2wh1njqwkmfmf3xmwkqy88kalrcjzrdwfpv9b")))) (properties `((upstream-name . "MSnID"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-annotationdbi r-annotationhub r-biobase r-biocgenerics r-biocstyle r-biostrings r-data-table r-doparallel r-dplyr r-foreach r-ggplot2 r-iterators r-msmstests r-msnbase r-mzid r-mzr r-protgenerics r-purrr r-r-cache r-rcpp r-reshape2 r-rlang r-runit r-stringr r-tibble r-xtable)) (home-page "https://bioconductor.org/packages/MSnID") (synopsis "Utilities for LC-MSn proteomics identifications") (description "This package extracts @dfn{tandem mass spectrometry} (MS/MS) ID data from mzIdentML (leveraging the mzID package) or text files. After collating the search results from multiple datasets it assesses their identification quality and optimize filtering criteria to achieve the maximum number of identifications while not exceeding a specified false discovery rate. It also contains a number of utilities to explore the MS/MS results and assess missed and irregular enzymatic cleavages, mass measurement accuracy, etc.") (license license:artistic2.0))) (define-public r-mzid (package (name "r-mzid") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mzID" version)) (sha256 (base32 "1rgkd9iv0lxj1zxh96sifwa312ivw5kl5jw82ma4fmapr4iqhzsh")))) (properties `((upstream-name . "mzID"))) (build-system r-build-system) (propagated-inputs (list r-doparallel r-foreach r-iterators r-plyr r-protgenerics r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/mzID") (synopsis "Parser for mzIdentML files") (description "This package provides a parser for mzIdentML files implemented using the XML package. The parser tries to be general and able to handle all types of mzIdentML files with the drawback of having less pretty output than a vendor specific parser.") (license license:gpl2+))) (define-public r-mzr (package (name "r-mzr") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mzR" version)) (sha256 (base32 "0z6ckp69syrdzhp6n4n399k2lar3w4n2d1ji2f90951c4ds6hkh8")) (modules '((guix build utils))) (snippet '(delete-file-recursively "src/boost")))) (properties `((upstream-name . "mzR") (updater-extra-inputs . ("boost")))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'use-system-boost (lambda _ (substitute* "src/Makevars" (("\\./boost/libs.*") "") (("PKG_LIBS=") "PKG_LIBS=$(BOOST_LIBS) ") (("\\ARCH_OBJS=" line) (string-append line "\nBOOST_LIBS=-lboost_system -lboost_regex \ -lboost_iostreams -lboost_thread -lboost_filesystem -lboost_chrono\n")))))))) (inputs (list boost ; use this instead of the bundled boost sources zlib)) (propagated-inputs (list r-biobase r-biocgenerics r-ncdf4 r-protgenerics r-rcpp r-rhdf5lib)) (native-inputs (list r-knitr)) (home-page "https://github.com/sneumann/mzR/") (synopsis "Parser for mass spectrometry data files") (description "The mzR package provides a unified API to the common file formats and parsers available for mass spectrometry data. It comes with a wrapper for the ISB random access parser for mass spectrometry mzXML, mzData and mzML files. The package contains the original code written by the ISB, and a subset of the proteowizard library for mzML and mzIdentML. The netCDF reading code has previously been used in XCMS.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-numbat (package (name "r-numbat") (version "1.3.2-1") (source (origin (method url-fetch) (uri (cran-uri "numbat" version)) (sha256 (base32 "1b9bykgw3z7a8bky5yv2g402gdapv8kcla2kbbyqvs77x4wba4q4")))) (properties `((upstream-name . "numbat"))) (build-system r-build-system) (propagated-inputs (list r-ape r-catools r-data-table r-dendextend r-dplyr r-genomicranges r-ggplot2 r-ggraph r-ggtree r-glue r-igraph r-iranges r-logger r-magrittr r-matrix r-optparse r-paralleldist r-patchwork r-pryr r-purrr r-r-utils r-rcpp r-rcpparmadillo r-rhpcblasctl r-roptim r-scales r-scistreer r-stringr r-tibble r-tidygraph r-tidyr r-vcfr r-zoo)) (home-page "https://github.com/kharchenkolab/numbat") (synopsis "Haplotype-aware CNV analysis from scRNA-Seq") (description "This package provides a computational method that infers copy number variations (CNV) in cancer scRNA-seq data and reconstructs the tumor phylogeny. It integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. It does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). It can be used to: @enumerate @item detect allele-specific copy number variations from single-cells @item differentiate tumor versus normal cells in the tumor microenvironment @item infer the clonal architecture and evolutionary history of profiled tumors @end enumerate For details on the method see @url{https://doi.org/10.1038/s41587-022-01468-y, Gao et al in Nature Biotechnology 2022}.") (license license:expat))) (define-public r-organism-dplyr (package (name "r-organism-dplyr") (version "1.30.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Organism.dplyr" version)) (sha256 (base32 "1s55fiqgxrdznn43qhm5yv9gp8d1msr2f39wxih0b5bm4wxhkq45")))) (properties `((upstream-name . "Organism.dplyr"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationfilter r-biocfilecache r-dbi r-dbplyr r-dplyr r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-rlang r-rsqlite r-s4vectors r-tibble)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Organism.dplyr") (synopsis "Dplyr-based access to Bioconductor annotation resources") (description "This package provides an alternative interface to Bioconductor @code{ annotation} resources, in particular the gene identifier mapping functionality of the @code{org} packages (e.g., @code{org.Hs.eg.db}) and the genome coordinate functionality of the @code{TxDb} packages (e.g., @code{TxDb.Hsapiens.UCSC.hg38.knownGene}).") (license license:artistic2.0))) (define-public r-organismdbi (package (name "r-organismdbi") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "OrganismDbi" version)) (sha256 (base32 "0g75y21lqmwsh28nx99zp2gxr6rhlhbw76f66qx5hrh6bm2zpm7j")))) (properties `((upstream-name . "OrganismDbi"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biocmanager r-dbi r-genomicfeatures r-genomicranges r-graph r-iranges r-rbgl r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/OrganismDbi") (synopsis "Software to enable the smooth interfacing of database packages") (description "The package enables a simple unified interface to several annotation packages each of which has its own schema by taking advantage of the fact that each of these packages implements a select methods.") (license license:artistic2.0))) (define-public r-oscope (package (name "r-oscope") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Oscope" version)) (sha256 (base32 "1li2l9mdq2q0580a7qzvfid5n15v62fr9ys87j42k3l2w5a26smf")))) (properties `((upstream-name . "Oscope"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-cluster r-ebseq r-testthat)) (home-page "https://bioconductor.org/packages/Oscope") (synopsis "Oscillatory genes identifier in unsynchronized single cell RNA-seq") (description "Oscope is a oscillatory genes identifier in unsynchronized single cell RNA-seq. This statistical pipeline has been developed to identify and recover the base cycle profiles of oscillating genes in an unsynchronized single cell RNA-seq experiment. The Oscope pipeline includes three modules: a sine model module to search for candidate oscillator pairs; a K-medoids clustering module to cluster candidate oscillators into groups; and an extended nearest insertion module to recover the base cycle order for each oscillator group.") (license license:asl2.0))) (define-public r-pcaexplorer (package (name "r-pcaexplorer") (version "2.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pcaExplorer" version)) (sha256 (base32 "0ihc9jqjy0nl4pfgcxczfdf973nb99325agk73y0222ad1mpkc07")))) (properties `((upstream-name . "pcaExplorer"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-base64enc r-biomart r-deseq2 r-dt r-genefilter r-genomicranges r-ggplot2 r-ggrepel r-go-db r-gostats r-heatmaply r-iranges r-knitr r-limma r-nmf r-pheatmap r-plotly r-plyr r-rmarkdown r-s4vectors r-scales r-shiny r-shinyace r-shinybs r-shinydashboard r-summarizedexperiment r-threejs r-tidyr r-topgo)) (native-inputs (list r-knitr)) (home-page "https://github.com/federicomarini/pcaExplorer") (synopsis "Interactive Visualization of RNA-seq Data Using a Principal Components Approach") (description "This package provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.") (license license:expat))) (define-public r-pcamethods (package (name "r-pcamethods") (version "1.94.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pcaMethods" version)) (sha256 (base32 "1asm4iafdzm98iv2j9sxvn5y9ss2p679cx7gwjipq8mf1d7bzfp0")))) (properties `((upstream-name . "pcaMethods"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-mass r-rcpp)) (home-page "https://github.com/hredestig/pcamethods") (synopsis "Collection of PCA methods") (description "This package provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a common interface to the PCA results.") (license license:gpl3+))) (define-public r-pfamanalyzer (package (name "r-pfamanalyzer") (version "1.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pfamAnalyzeR" version)) (sha256 (base32 "0qxxp7kfwbb9q471mgwc4bd8dmyid56ddyzw2jlg4gb1wcq9py67")))) (properties `((upstream-name . "pfamAnalyzeR"))) (build-system r-build-system) (propagated-inputs (list r-dplyr r-magrittr r-readr r-stringr r-tibble)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/pfamAnalyzeR") (synopsis "Identification of domain isotypes in pfam data") (description "This R package enables the user to read pfam predictions into R. Most human protein domains exist as multiple distinct variants termed domain isotypes. This R package enables the identification and classification of such domain isotypes from pfam data.") (license license:expat))) (define-public r-piano (package (name "r-piano") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "piano" version)) (sha256 (base32 "0rw55ig3pbvi2kyg10rx60ldcncsd4gki2h1zpr1nhmqg3fv0l5y")))) (properties `((upstream-name . "piano"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-dt r-fgsea r-gplots r-htmlwidgets r-igraph r-marray r-relations r-scales r-shiny r-shinydashboard r-shinyjs r-visnetwork)) (native-inputs (list r-knitr)) (home-page "https://varemo.github.io/piano/") (synopsis "Platform for integrative analysis of omics data") (description "Piano performs gene set analysis using various statistical methods, from different gene level statistics and a wide range of gene-set collections. The package contains functions for combining the results of multiple runs of gene set analyses.") (license license:gpl2+))) (define-public r-polyester (package (name "r-polyester") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "polyester" version)) (sha256 (base32 "1iycdxj0jhh2faclfzflp2cjc2zmxmhy03avv75h0qg3j5kf35l4")))) (properties `((upstream-name . "polyester"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-iranges r-limma r-logspline r-s4vectors r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/polyester") (synopsis "Simulate RNA-seq reads") (description "The polyester package simulates RNA-seq reads from differential expression experiments with replicates. The reads can then be aligned and used to perform comparisons of methods for differential expression.") (license license:artistic2.0))) (define-public r-powertcr (package (name "r-powertcr") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "powerTCR" version)) (sha256 (base32 "06fmphdq95pjbbvm8m8h1wajbp3vhl0zj7ddbzks9fy7ankp1n3i")))) (properties `((upstream-name . "powerTCR"))) (build-system r-build-system) (propagated-inputs (list r-cubature r-doparallel r-evmix r-foreach r-magrittr r-purrr r-truncdist r-vegan r-vgam)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/powerTCR") (synopsis "Model-based comparative analysis of the TCR repertoire") (description "This package provides a model for the clone size distribution of the @acronym{TCR, T-cell receptor} repertoire. Further, it permits comparative analysis of TCR repertoire libraries based on theoretical model fits.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package: ;; r-aroma-light, r-dnacopy.. (define-public r-pscbs (package (name "r-pscbs") (version "0.66.0") (source (origin (method url-fetch) (uri (cran-uri "PSCBS" version)) (sha256 (base32 "14rs2wywipbkia3dbzfhpnkmfgdvm2bf586lggsx63sywlv5d02q")))) (properties `((upstream-name . "PSCBS"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-before 'install 'change-home-dir (lambda _ ;; Change from /homeless-shelter to /tmp for write permission. (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-aroma-light r-dnacopy r-future r-listenv r-matrixstats r-r-cache r-r-methodss3 r-r-oo r-r-utils)) (native-inputs (list r-r-rsp ;used to build vignettes r-r-devices)) (home-page "https://github.com/HenrikBengtsson/PSCBS") (synopsis "Analysis of parent-specific DNA copy numbers") (description "This is a package for segmentation of allele-specific DNA copy number data and detection of regions with abnormal copy number within each parental chromosome. Both tumor-normal paired and tumor-only analyses are supported.") (license license:gpl2+))) (define-public r-protgear (package (name "r-protgear") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "protGear" version)) (sha256 (base32 "0r8md32vxjzarjldr9vsh3k0ms4zgqm9c7pp2flanbyinnqlfnxv")))) (properties `((upstream-name . "protGear"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases ;; Needed by styler for writing to caches. (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-biobase r-data-table r-dplyr r-factoextra r-factominer r-flexdashboard r-genefilter r-ggally r-ggplot2 r-ggpubr r-gtools r-htmltools r-kendall r-knitr r-limma r-magrittr r-mass r-pheatmap r-plotly r-plyr r-purrr r-readr r-remotes r-rlang r-rmarkdown r-shiny r-shinydashboard r-styler r-tibble r-tidyr r-vsn)) (native-inputs (list r-knitr)) (home-page "https://github.com/Keniajin/protGear") (synopsis "Protein micro array data management and interactive visualization") (description "This package provides a generic three-step pre-processing package for protein microarray data. This package contains different data pre-processing procedures to allow comparison of their performance. These steps are background correction, the coefficient of variation (CV) based filtering, batch correction and normalization.") (license license:gpl3))) (define-public r-protgenerics (package (name "r-protgenerics") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ProtGenerics" version)) (sha256 (base32 "1gjva76nxa9nzzmc9hya3bq7hswfmjd768v21f6m3gyygxvl581m")))) (properties `((upstream-name . "ProtGenerics"))) (build-system r-build-system) (home-page "https://github.com/lgatto/ProtGenerics") (synopsis "S4 generic functions for proteomics infrastructure") (description "This package provides S4 generic functions needed by Bioconductor proteomics packages.") (license license:artistic2.0))) (define-public r-rbgl (package (name "r-rbgl") (version "1.78.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RBGL" version)) (sha256 (base32 "0hxhl1l6qdi355w5y7fdq8vlba2pknfizggkgr2fp8f1f3zqh494")))) (properties `((upstream-name . "RBGL"))) (build-system r-build-system) (propagated-inputs (list r-bh r-graph)) (native-inputs (list r-knitr)) (home-page "https://www.bioconductor.org/packages/RBGL") (synopsis "Interface to the Boost graph library") (description "This package provides a fairly extensive and comprehensive interface to the graph algorithms contained in the Boost library.") (license license:artistic2.0))) (define-public r-rcas (package (name "r-rcas") (version "1.28.2") (source (origin (method url-fetch) (uri (bioconductor-uri "RCAS" version)) (sha256 (base32 "19ildsck3g8v4w0g2f473sb8hyhn4avprdi78fim0prva5f9nqnv")))) (properties `((upstream-name . "RCAS"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-cowplot r-data-table r-dt r-genomation r-genomeinfodb r-genomicfeatures r-genomicranges r-ggplot2 r-ggseqlogo r-gprofiler2 r-iranges r-knitr r-pbapply r-pheatmap r-plotly r-plotrix r-proxy r-ranger r-rmarkdown r-rsqlite r-rtracklayer r-s4vectors pandoc)) (native-inputs (list r-knitr)) (synopsis "RNA-centric annotation system") (description "RCAS aims to be a standalone RNA-centric annotation system that provides intuitive reports and publication-ready graphics. This package provides the R library implementing most of the pipeline's features.") (home-page "https://github.com/BIMSBbioinfo/RCAS") (license license:artistic2.0))) (define-public r-rcy3 (package (name "r-rcy3") (version "2.22.1") (source (origin (method url-fetch) (uri (bioconductor-uri "RCy3" version)) (sha256 (base32 "0qkjprf2p641j3a60av1l87pd6p17za5w6bp9qyah97jmm19za7m")))) (properties `((upstream-name . "RCy3"))) (build-system r-build-system) (propagated-inputs (list r-base64enc r-base64url r-biocgenerics r-fs r-glue r-gplots r-graph r-httr r-irdisplay r-irkernel r-rcolorbrewer r-rcurl r-rjsonio r-stringi r-uuid r-xml)) (native-inputs (list r-knitr)) (home-page "https://github.com/cytoscape/RCy3") (synopsis "Functions to access and control Cytoscape") (description "Vizualize, analyze and explore networks using Cytoscape via R. Anything you can do using the graphical user interface of Cytoscape, you can now do with a single RCy3 function.") (license license:expat))) (define-public r-regioner (package (name "r-regioner") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "regioneR" version)) (sha256 (base32 "1qcgbj7d2fngs3p9a9apnj14x35kc651fy3m0651dnqrxz8j5yij")))) (properties `((upstream-name . "regioneR"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome r-genomeinfodb r-genomicranges r-iranges r-memoise r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/regioneR/") (synopsis "Association analysis of genomic regions") (description "This package offers a statistical framework based on customizable permutation tests to assess the association between genomic region sets and other genomic features.") (license license:artistic2.0))) (define-public r-reportingtools (package (name "r-reportingtools") (version "2.42.3") (source (origin (method url-fetch) (uri (bioconductor-uri "ReportingTools" version)) (sha256 (base32 "109vmrdsjdjnfrlcdyadzbwz9a50hqaahf7dawwxkbbh4mmdih78")) (snippet '(delete-file "inst/extdata/jslib/jquery-1.8.0.min.js")))) (properties `((upstream-name . "ReportingTools"))) (build-system r-build-system) (arguments (list #:modules '((guix build utils) (guix build r-build-system) (guix build minify-build-system) (ice-9 match)) #:imported-modules `(,@%r-build-system-modules (guix build minify-build-system)) #:phases '(modify-phases (@ (guix build r-build-system) %standard-phases) (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (for-each (match-lambda ((source . target) (minify source #:target target))) `((,(assoc-ref inputs "_") . "inst/extdata/jslib/jquery-1.8.0.min.js")))))))) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-biocgenerics r-category r-deseq2 r-edger r-ggbio r-ggplot2 r-gostats r-gseabase r-hwriter r-iranges r-knitr r-lattice r-limma r-pfam-db r-r-utils r-xml)) (native-inputs (list esbuild r-rmarkdown (origin (method url-fetch) (uri "https://code.jquery.com/jquery-1.8.0.js") (sha256 (base32 "02vnwfxrrfsqm6qbmxyv9rdg32qyzs81d1snk62fy08gv7r62hfk"))))) (home-page "https://bioconductor.org/packages/ReportingTools/") (synopsis "Tools for making reports in various formats") (description "The ReportingTools package enables users to easily display reports of analysis results generated from sources such as microarray and sequencing data. The package allows users to create HTML pages that may be viewed on a web browser, or in other formats. Users can generate tables with sortable and filterable columns, make and display plots, and link table entries to other data sources such as NCBI or larger plots within the HTML page. Using the package, users can also produce a table of contents page to link various reports together for a particular project that can be viewed in a web browser.") (license license:artistic2.0))) (define-public r-rhdf5 (package (name "r-rhdf5") (version "2.46.1") (source (origin (method url-fetch) (uri (bioconductor-uri "rhdf5" version)) (sha256 (base32 "0yfy0y9ywzbbdmvvraxmizv3w2x1iznhfys6hhwyi644pxh4k3xn")))) (build-system r-build-system) (propagated-inputs (list r-rhdf5filters r-rhdf5lib r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/rhdf5") (synopsis "HDF5 interface to R") (description "This R/Bioconductor package provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on mass storage (disk) through a completely portable file format. The rhdf5 package is thus suited for the exchange of large and/or complex datasets between R and other software package, and for letting R applications work on datasets that are larger than the available RAM.") (license license:artistic2.0))) (define-public r-rhdf5filters (package (name "r-rhdf5filters") (version "1.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "rhdf5filters" version)) (sha256 (base32 "0cqf7k19k4m4swd2c1wd9cyzw9k90s3d3jq0hijjwvza50nn2dk6")))) (properties `((upstream-name . "rhdf5filters"))) (build-system r-build-system) (arguments (list #:configure-flags '(list "--without-bundled-libs"))) (propagated-inputs (list r-rhdf5lib)) (inputs (list bzip2 c-blosc zlib (list zstd "lib"))) (native-inputs (list r-knitr)) (home-page "https://github.com/grimbough/rhdf5filters") (synopsis "HDF5 compression filters") (description "This package provides a collection of compression filters for use with HDF5 datasets.") (license license:bsd-2))) (define-public r-rsamtools (package (name "r-rsamtools") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rsamtools" version)) (sha256 (base32 "0bcapiwdzv7rqgs4hmw7hq290r3pz5vvhg4apxard0yybq83na1g")))) (properties `((upstream-name . "Rsamtools"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'use-system-zlib (lambda _ (substitute* "DESCRIPTION" (("zlibbioc, ") "")) (substitute* "NAMESPACE" (("import\\(zlibbioc\\)") ""))))))) (propagated-inputs (list r-biocgenerics r-biocparallel r-biostrings r-bitops r-genomeinfodb r-genomicranges r-iranges r-rhtslib r-s4vectors r-xvector r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/release/bioc/html/Rsamtools.html") (synopsis "Interface to samtools, bcftools, and tabix") (description "This package provides an interface to the @code{samtools}, @code{bcftools}, and @code{tabix} utilities for manipulating SAM (Sequence Alignment / Map), FASTA, binary variant call (BCF) and compressed indexed tab-delimited (tabix) files.") (license license:expat))) ;; This is a CRAN package, but it depends on a Bioconductor package: ;; s4vectors. (define-public r-restfulr (package (name "r-restfulr") (version "0.0.15") (source (origin (method url-fetch) (uri (cran-uri "restfulr" version)) (sha256 (base32 "14p6h0gjknqy5z2fprxw7waf4p0cd2qmp18s7qig4ylqn8gqzzs0")))) (properties `((upstream-name . "restfulr"))) (build-system r-build-system) (propagated-inputs (list r-rcurl r-rjson r-s4vectors r-xml r-yaml)) (home-page "https://cran.r-project.org/package=restfulr") (synopsis "R interface to RESTful web services") (description "This package models a RESTful service as if it were a nested R list.") (license license:artistic2.0))) (define-public r-rtcga (package (name "r-rtcga") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RTCGA" version)) (sha256 (base32 "1lzdwkisvzj1wyx3wx4ll1c2j9ww3xz8kpbngmpf8cdrw4h3jrg1")))) (properties `((upstream-name . "RTCGA"))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-data-table r-dplyr r-ggplot2 r-ggthemes r-htmltools r-knitr r-purrr r-rcurl r-rmarkdown r-rvest r-scales r-stringi r-survival r-survminer r-viridis r-xml r-xml2)) (native-inputs (list r-knitr)) (home-page "https://rtcga.github.io/RTCGA/") (synopsis "The Cancer Genome Atlas data integration") (description "The Cancer Genome Atlas (TCGA) Data Portal provides a platform for researchers to search, download, and analyze data sets generated by TCGA. It contains clinical information, genomic characterization data, and high level sequence analysis of the tumor genomes. The key is to understand genomics to improve cancer care. RTCGA package offers download and integration of the variety and volume of TCGA data using patient barcode key, what enables easier data possession. This may have an benefcial infuence on impact on development of science and improvement of patients treatment. Furthermore, RTCGA package transforms TCGA data to tidy form which is convenient to use.") (license license:gpl2))) (define-public r-rtcgatoolbox (package (name "r-rtcgatoolbox") (version "2.32.1") (source (origin (method url-fetch) (uri (bioconductor-uri "RTCGAToolbox" version)) (sha256 (base32 "1a38b30nsg2bnlnijf4aa4rn4db2y4v86awfbf6a6qzqwlzknrcq")))) (properties `((upstream-name . "RTCGAToolbox"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-data-table r-delayedarray r-genomeinfodb r-genomicranges r-httr r-raggedexperiment r-rcurl r-rjsonio r-rvest r-s4vectors r-stringr r-summarizedexperiment r-tcgautils)) (native-inputs (list r-knitr)) (home-page "http://mksamur.github.io/RTCGAToolbox/") (synopsis "Export TCGA Firehose data") (description "Managing data from large scale projects such as The Cancer Genome Atlas (TCGA) for further analysis is an important and time consuming step for research projects. Several efforts, such as Firehose project, make TCGA pre-processed data publicly available via web services and data portals but it requires managing, downloading and preparing the data for following steps. This package provides an extensible R based data client for Firehose pre-processed data.") (license license:gpl2))) (define-public r-rtracklayer (package (name "r-rtracklayer") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rtracklayer" version)) (sha256 (base32 "1jxhv2fq62lz0j6kbwq43c8ggk14ccsjg0xgfqjqy941dj9ig0n2")))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'use-system-zlib (lambda _ (substitute* "DESCRIPTION" ((" zlibbioc,") "")) (substitute* "NAMESPACE" (("import\\(zlibbioc\\)") ""))))))) (native-inputs (list pkg-config)) (inputs (list openssl zlib)) (propagated-inputs (list r-biocgenerics r-biocio r-biostrings r-genomeinfodb r-genomicalignments r-genomicranges r-iranges r-rcurl r-restfulr r-rsamtools r-s4vectors r-xml r-xvector r-zlibbioc)) (home-page "https://bioconductor.org/packages/rtracklayer") (synopsis "R interface to genome browsers and their annotation tracks") (description "rtracklayer is an extensible framework for interacting with multiple genome browsers (currently UCSC built-in) and manipulating annotation tracks in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit built-in). The user may export/import tracks to/from the supported browsers, as well as query and modify the browser state, such as the current viewport.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-samr (package (name "r-samr") (version "3.0") (source (origin (method url-fetch) (uri (cran-uri "samr" version)) (sha256 (base32 "01km0f7qgm73x19vbvsxl083hs1dq4dj8qm5h64cxbf20b08my15")))) (properties `((upstream-name . "samr"))) (build-system r-build-system) (propagated-inputs (list r-gsa r-impute r-matrixstats r-openxlsx r-shiny r-shinyfiles)) (native-inputs (list gfortran)) (home-page "https://statweb.stanford.edu/~tibs/SAM/") (synopsis "Significance analysis of Microarrays") (description "This is a package for significance analysis of Microarrays for differential expression analysis, RNAseq data and related problems.") ;; Any version of the LGPL (license license:lgpl3+))) (define-public r-saturn (package (name "r-saturn") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "satuRn" version)) (sha256 (base32 "12bivj0cnp38apwi3jqmil8bwsfa96cjp5f132a5raacd2z87gqf")))) (properties `((upstream-name . "satuRn"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-boot r-ggplot2 r-limma r-locfdr r-matrix r-pbapply r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/statOmics/satuRn") (synopsis "Analysis of differential transcript usage for scRNA-seq applications") (description "satuRn provides a framework for performing differential transcript usage analyses. The package consists of three main functions. The first function, @code{fitDTU}, fits quasi-binomial generalized linear models that model transcript usage in different groups of interest. The second function, @code{testDTU}, tests for differential usage of transcripts between groups of interest. Finally, @code{plotDTU} visualizes the usage profiles of transcripts in groups of interest.") (license license:artistic2.0))) (define-public r-scannotatr (package (name "r-scannotatr") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scAnnotatR" version)) (sha256 (base32 "13wrxxdwphngi0f9vxakykk54bqngw8g38w6wkk96999lzb3p57p")))) (properties `((upstream-name . "scAnnotatR"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-ape r-caret r-data-tree r-dplyr r-e1071 r-ggplot2 r-kernlab r-proc r-rocr r-seurat r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/grisslab/scAnnotatR") (synopsis "Pretrained models for prediction on single cell RNA-sequencing data") (description "This package comprises a set of pretrained machine learning models to predict basic immune cell types. This enables to quickly get a first annotation of the cell types present in the dataset without requiring prior knowledge. The package also lets you train using own models to predict new cell types based on specific research needs.") (license license:expat))) (define-public r-scdblfinder (package (name "r-scdblfinder") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scDblFinder" version)) (sha256 (base32 "1f3n1m6fjx965wm2jllzk51ssj92ifxb4bln4vwk25qxd3g0bna8")))) (properties `((upstream-name . "scDblFinder"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocneighbors r-biocparallel r-biocsingular r-bluster r-delayedarray r-genomeinfodb r-genomicranges r-igraph r-iranges r-mass r-matrix r-rsamtools r-rtracklayer r-s4vectors r-scater r-scran r-scuttle r-singlecellexperiment r-summarizedexperiment r-xgboost)) (native-inputs (list r-knitr)) (home-page "https://github.com/plger/scDblFinder") (synopsis "Detect multiplets in single-cell RNA sequencing data") (description "The scDblFinder package gathers various methods for the detection and handling of doublets/multiplets in single-cell RNA sequencing data (i.e. multiple cells captured within the same droplet or reaction volume). It includes methods formerly found in the scran package, and the new fast and comprehensive scDblFinder method.") (license license:gpl3))) ;; This is a CRAN package, but it depends on packages from Bioconductor. (define-public r-scgate (package (name "r-scgate") (version "1.6.0") (source (origin (method url-fetch) (uri (cran-uri "scGate" version)) (sha256 (base32 "0h12d36zjc6fvxbhkxrzbpvw49z9fgyn1jc941q70ajw1yqi2hhh")))) (properties `((upstream-name . "scGate"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-dplyr r-ggplot2 r-ggridges r-patchwork r-reshape2 r-seurat r-ucell)) (native-inputs (list r-knitr)) (home-page "https://github.com/carmonalab/scGate") (synopsis "Marker-based cell type purification for single-cell sequencing data") (description "This package provides a method to purify a cell type or cell population of interest from heterogeneous datasets. scGate package automatizes marker-based purification of specific cell populations, without requiring training data or reference gene expression profiles. scGate takes as input a gene expression matrix stored in a Seurat object and a @acronym{GM, gating model}, consisting of a set of marker genes that define the cell population of interest. It evaluates the strength of signature marker expression in each cell using the rank-based method UCell, and then performs @acronym{kNN, k-nearest neighbor} smoothing by calculating the mean UCell score across neighboring cells. kNN-smoothing aims at compensating for the large degree of sparsity in scRNAseq data. Finally, a universal threshold over kNN-smoothed signature scores is applied in binary decision trees generated from the user-provided gating model, to annotate cells as either “pure” or “impure”, with respect to the cell population of interest.") (license license:gpl3))) ;; This is a CRAN package, but it depends on packages from Bioconductor. (define-public r-scistreer (package (name "r-scistreer") (version "1.2.0") (source (origin (method url-fetch) (uri (cran-uri "scistreer" version)) (sha256 (base32 "03nd4p7ik66v09yv18c0z1bvdnkr5m0axk78yapd2ri80ihmyi3c")))) (properties `((upstream-name . "scistreer"))) (build-system r-build-system) (propagated-inputs (list r-ape r-dplyr r-ggplot2 r-ggtree r-igraph r-paralleldist r-patchwork r-phangorn r-rcpp r-rcpparmadillo r-rcppparallel r-reshape2 r-rhpcblasctl r-stringr r-tidygraph)) (home-page "https://github.com/kharchenkolab/scistreer") (synopsis "Maximum-likelihood perfect phylogeny Inference at scale") (description "This package provides fast maximum-likelihood phylogeny inference from noisy single-cell data using the ScisTree algorithm proposed by @code{doi.org/10.1093/bioinformatics/btz676, Yufeng Wu (2019)}. It makes the method applicable to massive single-cell datasets (>10,000 cells).") (license license:gpl3))) (define-public r-scmap (package (name "r-scmap") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scmap" version)) (sha256 (base32 "1sd5ixs8fbiqqp1p4p505l1f0lncmagkhzh4xrk8wrca6db6k6d8")))) (properties `((upstream-name . "scmap"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-dplyr r-e1071 r-ggplot2 r-googlevis r-matrixstats r-proxy r-randomforest r-rcpp r-rcpparmadillo r-reshape2 r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/hemberg-lab/scmap") (synopsis "Tool for unsupervised projection of single cell RNA-seq data") (description "@dfn{Single-cell RNA-seq} (scRNA-seq) is widely used to investigate the composition of complex tissues since the technology allows researchers to define cell-types using unsupervised clustering of the transcriptome. However, due to differences in experimental methods and computational analyses, it is often challenging to directly compare the cells identified in two different experiments. @code{scmap} is a method for projecting cells from a scRNA-seq experiment onto the cell-types or individual cells identified in a different experiment.") (license license:gpl3))) (define-public r-screpertoire (package (name "r-screpertoire") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scRepertoire" version)) (sha256 (base32 "1wgs8dv5zl82iciy86w5ws1gq8v2piklcifbw7gmbw60kijyr2l1")))) (properties `((upstream-name . "scRepertoire"))) (build-system r-build-system) (propagated-inputs (list r-doparallel r-dplyr r-ggalluvial r-ggplot2 r-ggraph r-igraph r-plyr r-powertcr r-reshape2 r-rlang r-seuratobject r-singlecellexperiment r-stringdist r-stringr r-summarizedexperiment r-tidygraph r-vegan)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/scRepertoire") (synopsis "Toolkit for single-cell immune receptor profiling") (description "The scRepertoire package was built to process data derived from the 10x Genomics Chromium Immune Profiling for both @acronym{TCR, T-cell receptor} and @acronym{Ig, immunoglobulin} enrichment workflows and subsequently interacts with the popular Seurat and SingleCellExperiment R packages. It also allows for general analysis of single-cell clonotype information without the use of expression information. The package functions as a wrapper for Startrac and powerTCR R packages.") (license license:gpl2))) (define-public r-scrnaseq (package (name "r-scrnaseq") (version "2.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scRNAseq" version 'experiment)) (sha256 (base32 "0dbh3sqq7lkkdf7vls5qg7fbn6y74c7hsigb4d69pvk934ll88aw")))) (properties `((upstream-name . "scRNAseq"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationhub r-biocgenerics r-ensembldb r-experimenthub r-genomicfeatures r-genomicranges r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/scRNAseq") (synopsis "Collection of public single-cell RNA-seq datasets") (description "This package contains gene-level counts for a collection of public @code{scRNA-seq} datasets, provided as @code{SingleCellExperiment} objects with cell- and gene-level metadata.") (license license:cc0))) (define-public r-scry (package (name "r-scry") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scry" version)) (sha256 (base32 "0hbdsjsn0jl0dr2ly5vx0wb4bnz7nl15kkypryywjvis9rdasjj3")))) (properties `((upstream-name . "scry"))) (build-system r-build-system) (propagated-inputs (list r-biocsingular r-delayedarray r-glmpca r-matrix r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/scry.html") (synopsis "Small-count analysis methods for high-dimensional data") (description "Many modern biological datasets consist of small counts that are not well fit by standard linear-Gaussian methods such as principal component analysis. This package provides implementations of count-based feature selection and dimension reduction algorithms. These methods can be used to facilitate unsupervised analysis of any high-dimensional data such as single-cell RNA-seq.") (license license:artistic2.0))) (define-public r-seqarray (package (name "r-seqarray") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SeqArray" version)) (sha256 (base32 "0zs60yh3x6kgy6izn11d400vw59ww2w6bmhg6fw5ijinknyr3ixc")))) (properties `((upstream-name . "SeqArray"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-gdsfmt r-genomeinfodb r-genomicranges r-iranges r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/zhengxwen/SeqArray") (synopsis "Data management of large-scale whole-genome sequence variant calls") (description "This package supports data management of large-scale whole-genome sequencing variant calls with thousands of individuals: genotypic data (e.g., SNVs, indels and structural variation calls) and annotations in SeqArray GDS files are stored in an array-oriented and compressed manner, with efficient data access using the R programming language.") (license license:gpl3))) (define-public r-seqlogo (package (name "r-seqlogo") (version "1.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "seqLogo" version)) (sha256 (base32 "106359wn4v0m53b33x4zjsyjsj4j8h7bnvd1whamsig982h6szp2")))) (properties `((upstream-name . "seqLogo"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/seqLogo") (synopsis "Sequence logos for DNA sequence alignments") (description "seqLogo takes the position weight matrix of a DNA sequence motif and plots the corresponding sequence logo as introduced by Schneider and Stephens (1990).") (license license:lgpl2.0+))) (define-public r-seqpattern (package (name "r-seqpattern") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "seqPattern" version)) (sha256 (base32 "0rs9dy540d4agp7fc8glbrcnly4s6qcxqsq4yv8y555bbdld6dv0")))) (properties `((upstream-name . "seqPattern"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomicranges r-iranges r-kernsmooth r-plotrix)) (home-page "https://bioconductor.org/packages/seqPattern") (synopsis "Visualising oligonucleotide patterns and motif occurrences") (description "This package provides tools to visualize oligonucleotide patterns and sequence motif occurrences across a large set of sequences centred at a common reference point and sorted by a user defined feature.") (license license:gpl3+))) (define-public r-sesame (package (name "r-sesame") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "sesame" version)) (sha256 (base32 "0yh4mrsj3pqhjkrq5dwmcpcqwixs0pmjy7dfa3cr0mf52fgzcvmr")))) (properties `((upstream-name . "sesame"))) (build-system r-build-system) (propagated-inputs (list r-biocfilecache r-biocparallel r-dplyr r-genomeinfodb r-genomicranges r-ggplot2 r-illuminaio r-iranges r-mass r-preprocesscore r-readr r-reshape2 r-s4vectors r-sesamedata r-stringr r-summarizedexperiment r-tibble r-wheatmap)) (native-inputs (list r-knitr)) (home-page "https://github.com/zwdzwd/sesame") (synopsis "Step-wise analysis of DNA Methylation BeadChips") (description "This package provides tools For analyzing Illumina Infinium DNA methylation arrays. @code{SeSAMe} provides utilities to support analyses of multiple generations of Infinium DNA methylation @code{BeadChips}, including preprocessing, quality control, visualization and inference. @code{SeSAMe} features accurate detection calling, intelligent inference of ethnicity, sex and advanced quality control routines.") (license license:expat))) (define-public r-shinymethyl (package (name "r-shinymethyl") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "shinyMethyl" version)) (sha256 (base32 "1gkj15q1rxvsdzbsp3gkk02kvvx0kq4wsqycf3ln1bszb9688jw6")))) (properties `((upstream-name . "shinyMethyl"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-htmltools r-matrixgenerics r-minfi r-rcolorbrewer r-shiny)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/shinyMethyl") (synopsis "Interactive visualization for Illumina methylation arrays") (description "This package provides an interactive tool for visualizing Illumina methylation array data. Both the 450k and EPIC array are supported.") (license license:artistic2.0))) (define-public r-shortread (package (name "r-shortread") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ShortRead" version)) (sha256 (base32 "0fgiszb5qhplppfngpi4s33sx62ff5sdhd6n31a3b6l7fnlvk51m")))) (properties `((upstream-name . "ShortRead"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-biostrings r-genomeinfodb r-genomicalignments r-genomicranges r-hwriter r-iranges r-lattice r-latticeextra r-rhtslib r-rsamtools r-s4vectors r-xvector r-zlibbioc)) (home-page "https://bioconductor.org/packages/ShortRead") (synopsis "FASTQ input and manipulation tools") (description "This package implements sampling, iteration, and input of FASTQ files. It includes functions for filtering and trimming reads, and for generating a quality assessment report. Data are represented as @code{DNAStringSet}-derived objects, and easily manipulated for a diversity of purposes. The package also contains legacy support for early single-end, ungapped alignment formats.") (license license:artistic2.0))) (define-public r-sictools (package (name "r-sictools") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SICtools" version)) (sha256 (base32 "0bcajjvkaxmr8bdij8xln7a3nmxbm7jkjvg2v6p8kd0xr3q9a70q")))) (properties `((upstream-name . "SICtools"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'patch-curses (lambda _ (substitute* "src/Makefile" (("^LIBCURSES.*") "LIBCURSES=-lncurses\n"))))))) (propagated-inputs (list r-biostrings r-doparallel r-genomicranges r-iranges r-matrixstats r-plyr r-rsamtools r-stringr)) (inputs (list ncurses)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/SICtools") (synopsis "Find SNV/Indel differences between two bam files with near relationship") (description "This package is to find SNV/Indel differences between two @file{bam} files with near relationship in a way of pairwise comparison through each base position across the genome region of interest. The difference is inferred by Fisher test and euclidean distance, the input of which is the base count (A,T,G,C) in a given position and read counts for indels that span no less than 2bp on both sides of indel region.") (license license:gpl2+))) (define-public r-simplifyenrichment (package (name "r-simplifyenrichment") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "simplifyEnrichment" version)) (sha256 (base32 "0qhrlhf881mi2v0n0y410c0bf2cm3imrlglq8argnw86n9xj51pw")))) (properties `((upstream-name . "simplifyEnrichment"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-circlize r-clue r-cluster r-colorspace r-complexheatmap r-digest r-getoptlong r-globaloptions r-go-db r-gosemsim r-matrix r-org-hs-eg-db r-proxyc r-slam r-tm)) (native-inputs (list r-knitr)) (home-page "https://github.com/jokergoo/simplifyEnrichment") (synopsis "Simplify functional enrichment results") (description "This package provides a new clustering algorithm, binary cut, for clustering similarity matrices of functional terms is implemented in this package. It also provides functionalities for visualizing, summarizing and comparing the clusterings.") (license license:expat))) (define-public r-singscore (package (name "r-singscore") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "singscore" version)) (sha256 (base32 "0hafzbhbik1512pisjvnnzmy8pl2shrgra6l06kpvsrczkqlmi04")))) (properties `((upstream-name . "singscore"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocparallel r-edger r-ggplot2 r-ggrepel r-gseabase r-magrittr r-matrixstats r-plotly r-plyr r-rcolorbrewer r-reshape r-reshape2 r-s4vectors r-summarizedexperiment r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://davislaboratory.github.io/singscore/") (synopsis "Rank-based single-sample gene set scoring method") (description "This package provides a simple single-sample gene signature scoring method that uses rank-based statistics to analyze the sample's gene expression profile. It scores the expression activities of gene sets at a single-sample level.") (license license:gpl3))) (define-public r-tcgautils (package (name "r-tcgautils") (version "1.22.2") (source (origin (method url-fetch) (uri (bioconductor-uri "TCGAutils" version)) (sha256 (base32 "16pcz52ynx0syb5bcnkywllqxcfp7jipqgzgjr7q70k1z13ah7a3")))) (properties `((upstream-name . "TCGAutils"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocbaseutils r-biocgenerics r-genomeinfodb r-genomicdatacommons r-genomicfeatures r-genomicranges r-iranges r-multiassayexperiment r-raggedexperiment r-rvest r-s4vectors r-stringr r-summarizedexperiment r-xml2)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/TCGAutils") (synopsis "TCGA utility functions for data management") (description "This package provides a suite of helper functions for checking and manipulating TCGA data including data obtained from the @code{curatedTCGAData} experiment package. These functions aim to simplify and make working with TCGA data more manageable. Exported functions include those that import data from flat files into Bioconductor objects, convert row annotations, and identifier translation via the GDC API.") (license license:artistic2.0))) (define-public r-tkwidgets (package (name "r-tkwidgets") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tkWidgets" version)) (sha256 (base32 "11a8rflmga2d63l5nzdlbkyfnzsf20dzg2sy6qr143hg9sjzqrrj")))) (properties `((upstream-name . "tkWidgets"))) (build-system r-build-system) (propagated-inputs (list r-dyndoc r-widgettools)) (home-page "https://bioconductor.org/packages/tkWidgets") (synopsis "R based tk widgets") (description "This package implements widgets to provide user interfaces.") (license license:artistic2.0))) (define-public r-toast (package (name "r-toast") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TOAST" version)) (sha256 (base32 "00wpgs2zdrgrh9xmp6m5h9xgv85mhdi36qvwg9gwbz9i7cfabmy1")))) (properties `((upstream-name . "TOAST"))) (build-system r-build-system) (propagated-inputs (list r-corpcor r-doparallel r-epidish r-ggally r-ggplot2 r-limma r-nnls r-quadprog r-summarizedexperiment r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/TOAST") (synopsis "Tools for the analysis of heterogeneous tissues") (description "This package is devoted to analyzing high-throughput data (e.g. gene expression microarray, DNA methylation microarray, RNA-seq) from complex tissues. Current functionalities include @enumerate @item detect cell-type specific or cross-cell type differential signals @item tree-based differential analysis @item improve variable selection in reference-free deconvolution @item partial reference-free deconvolution with prior knowledge. @end enumerate") (license license:gpl2))) ;; TODO: check javascript (define-public r-trackviewer (package (name "r-trackviewer") (version "1.38.1") (source (origin (method url-fetch) (uri (bioconductor-uri "trackViewer" version)) (sha256 (base32 "008d1wg8882iq7jfmwijpchxrfva5ysl45ama62iy8s9dm0fpwsj")) (snippet '(delete-file "inst/htmlwidgets/lib/d3/d3.v4.min.js")))) (properties `((upstream-name . "trackViewer"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (with-directory-excursion "inst/htmlwidgets/lib/d3" (let ((source (assoc-ref inputs "_")) (target "d3.v4.min.js")) (format #true "Processing ~a --> ~a~%" source target) (invoke "esbuild" source "--minify" (string-append "--outfile=" target))))))))) (propagated-inputs (list r-annotationdbi r-biocgenerics r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-graph r-grimport r-gviz r-htmlwidgets r-interactionset r-iranges r-plotrix r-rgraphviz r-rhdf5 r-rsamtools r-rtracklayer r-s4vectors r-scales r-strawr)) (native-inputs (list esbuild r-knitr (origin (method url-fetch) (uri "https://web.archive.org/web/20230428092426id_/\ https://d3js.org/d3.v4.js") (sha256 (base32 "0y7byf6kcinfz9ac59jxc4v6kppdazmnyqfav0dm4h550fzfqqlg"))))) (home-page "https://bioconductor.org/packages/trackViewer") (synopsis "Web interface for interactive multi-omics data analysis") (description "TrackViewer offers multi-omics analysis with web based tracks and lollipops. Visualize mapped reads along with annotation as track layers for NGS datasets such as ChIP-seq, RNA-seq, miRNA-seq, DNA-seq, SNPs and methylation data.") (license license:gpl2+))) (define-public r-transcriptr (package (name "r-transcriptr") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "transcriptR" version)) (sha256 (base32 "1lbla2syljpmgdf7da7vl1260fy54xs3hk6m2gjpark0dka0kqbh")))) (properties `((upstream-name . "transcriptR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-caret r-chipseq r-e1071 r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-ggplot2 r-iranges r-proc r-reshape2 r-rsamtools r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/transcriptR") (synopsis "Primary transcripts detection and quantification") (description "The differences in the RNA types being sequenced have an impact on the resulting sequencing profiles. mRNA-seq data is enriched with reads derived from exons, while GRO-, nucRNA- and chrRNA-seq demonstrate a substantial broader coverage of both exonic and intronic regions. The presence of intronic reads in GRO-seq type of data makes it possible to use it to computationally identify and quantify all de novo continuous regions of transcription distributed across the genome. This type of data, however, is more challenging to interpret and less common practice compared to mRNA-seq. One of the challenges for primary transcript detection concerns the simultaneous transcription of closely spaced genes, which needs to be properly divided into individually transcribed units. The R package transcriptR combines RNA-seq data with ChIP-seq data of histone modifications that mark active Transcription Start Sites (TSSs), such as, H3K4me3 or H3K9/14Ac to overcome this challenge. The advantage of this approach over the use of, for example, gene annotations is that this approach is data driven and therefore able to deal also with novel and case specific events.") (license license:gpl3))) (define-public r-trajectoryutils (package (name "r-trajectoryutils") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TrajectoryUtils" version)) (sha256 (base32 "0pqdl0v16q90ffxla34rp07mq0if1q9izpbimfnq0rx7633mk95v")))) (properties `((upstream-name . "TrajectoryUtils"))) (build-system r-build-system) (propagated-inputs (list r-igraph r-matrix r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/TrajectoryUtils") (synopsis "Single-cell trajectory analysis utilities") (description "This package implements low-level utilities for single-cell trajectory analysis, primarily intended for re-use inside higher-level packages. It includes a function to create a cluster-level minimum spanning tree and data structures to hold pseudotime inference results.") (license license:gpl3))) (define-public r-trna (package (name "r-trna") (version "1.20.1") (source (origin (method url-fetch) (uri (bioconductor-uri "tRNA" version)) (sha256 (base32 "0mcpql3zf1gw2k6gfyqycycc8li00818gd9qzs8s3wva7kxbpn89")))) (properties `((upstream-name . "tRNA"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-genomicranges r-ggplot2 r-iranges r-modstrings r-s4vectors r-scales r-stringr r-structstrings r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/tRNA") (synopsis "Analyzing tRNA sequences and structures") (description "The tRNA package allows tRNA sequences and structures to be accessed and used for subsetting. In addition, it provides visualization tools to compare feature parameters of multiple tRNA sets and correlate them to additional data. The tRNA package uses GRanges objects as inputs requiring only few additional column data sets.") (license license:gpl3))) (define-public r-trnadbimport (package (name "r-trnadbimport") (version "1.20.1") (source (origin (method url-fetch) (uri (bioconductor-uri "tRNAdbImport" version)) (sha256 (base32 "1i2mismx914ijys13wwz50gkk682rklp36aci270nc7vx78hynni")))) (properties `((upstream-name . "tRNAdbImport"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomicranges r-httr2 r-iranges r-modstrings r-s4vectors r-stringr r-structstrings r-trna r-xml2)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/tRNAdbImport") (synopsis "Importing from tRNAdb and mitotRNAdb as GRanges objects") (description "@code{tRNAdbImport} imports the entries of the @code{tRNAdb} and @code{mtRNAdb} as GRanges object.") (license license:gpl3))) (define-public r-scds (package (name "r-scds") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scds" version)) (sha256 (base32 "0cmzvc1m29ijhzs2p407bhhxfqbflzsnrk7nq0jshjyw6v6pkfn0")))) (properties `((upstream-name . "scds"))) (build-system r-build-system) (propagated-inputs (list r-dplyr r-matrix r-proc r-s4vectors r-singlecellexperiment r-summarizedexperiment r-xgboost)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/scds") (synopsis "In-silico doublet annotation for single cell RNA sequencing data") (description "This is an R package for doublet annotation of single cell RNA sequencing data. @code{scds} provides methods to annotate doublets in scRNA-seq data computationally.") (license license:expat))) (define-public r-slingshot (package (name "r-slingshot") (version "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "slingshot" version)) (sha256 (base32 "0q3j0jpc4mnmjb3xha5cmfhk1qdr1jiz7kdghznk4zqxn4bchc1d")))) (build-system r-build-system) (propagated-inputs (list r-igraph r-matrixstats r-princurve r-s4vectors r-singlecellexperiment r-summarizedexperiment r-trajectoryutils)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/slingshot") (synopsis "Tools for ordering single-cell sequencing") (description "This package provides functions for inferring continuous, branching lineage structures in low-dimensional data. Slingshot was designed to model developmental trajectories in single-cell RNA sequencing data and serve as a component in an analysis pipeline after dimensionality reduction and clustering. It is flexible enough to handle arbitrarily many branching events and allows for the incorporation of prior knowledge through supervised graph construction.") (license license:artistic2.0))) ;; This is a CRAN package but it depends on a bioconductor package. (define-public r-speaq (package (name "r-speaq") (version "2.7.0") (source (origin (method url-fetch) (uri (cran-uri "speaq" version)) (sha256 (base32 "0z9a3nbfazphp090c6hg892vjq7jp4g4cij3s5wbs1q567inbmlk")))) (properties `((upstream-name . "speaq"))) (build-system r-build-system) (propagated-inputs (list r-cluster r-data-table r-dosnow r-foreach r-ggplot2 r-gridextra r-impute r-massspecwavelet r-missforest r-reshape2 r-rfast r-rvest r-xml2)) (native-inputs (list r-knitr)) (home-page "https://cran.r-project.org/package=speaq") (synopsis "Tools for nuclear magnetic resonance spectra alignment") (description "This package aims to make @acronym{NMR, Nuclear Magnetic Resonance} spectroscopy data analysis as easy as possible. It only requires a small set of functions to perform an entire analysis. Speaq offers the possibility of raw spectra alignment and quantitation but also an analysis based on features whereby the spectra are converted to peaks which are then grouped and turned into features. These features can be processed with any number of statistical tools either included in speaq or available elsewhere on CRAN.") (license license:asl2.0))) (define-public r-spectra (package (name "r-spectra") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Spectra" version)) (sha256 (base32 "07zs9x5fzxzwicjc5x29sv33yidmq1ar70ss91py094zbw9i63qy")))) (properties `((upstream-name . "Spectra"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-fs r-iranges r-metabocoreutils r-mscoreutils r-protgenerics r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/RforMassSpectrometry/Spectra") (synopsis "Spectra infrastructure for mass spectrometry data") (description "The Spectra package defines an efficient infrastructure for storing and handling mass spectrometry spectra and functionality to subset, process, visualize and compare spectra data. It provides different implementations (backends) to store mass spectrometry data. These comprise backends tuned for fast data access and processing and backends for very large data sets ensuring a small memory footprint.") (license license:artistic2.0))) (define-public r-stager (package (name "r-stager") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "stageR" version)) (sha256 (base32 "064hvx8qyw5hdhihwl9k0jqhg6saz4ng2m37d2ipr5pz9v8adspb")))) (properties `((upstream-name . "stageR"))) (build-system r-build-system) (propagated-inputs (list r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/stageR") (synopsis "Stage-wise analysis of high throughput gene expression data") (description "The stageR package allows automated stage-wise analysis of high-throughput gene expression data. The method is published in Genome Biology at @url{https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1277-0}.") (license license:gpl3))) (define-public r-stringdb (package (name "r-stringdb") (version "2.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "STRINGdb" version)) (sha256 (base32 "1ffn73sx0qbzbh8cjil9r159g0fjnvi6y8rlbg6nf7p3zx3aya54")))) (properties `((upstream-name . "STRINGdb"))) (build-system r-build-system) (propagated-inputs (list r-gplots r-hash r-igraph r-plotrix r-plyr r-png r-rcolorbrewer r-rcurl r-sqldf)) (home-page "https://git.bioconductor.org/packages/STRINGdb") (synopsis "Search tool for the retrieval of interacting proteins database") (description "The @code{STRINGdb} package provides an R interface to the STRING protein-protein interactions database. @url{https://www.string-db.org, STRING} is a database of known and predicted protein-protein interactions. The interactions include direct (physical) and indirect (functional) associations. Each interaction is associated with a combined confidence score that integrates the various evidences.") (license license:gpl2))) (define-public r-structstrings (package (name "r-structstrings") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Structstrings" version)) (sha256 (base32 "10j1khhjd30wn9yfz4jhgx34z0yyijgwgydr8ric52337vwpx6dl")))) (properties `((upstream-name . "Structstrings"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-crayon r-iranges r-s4vectors r-stringi r-stringr r-xvector)) (native-inputs (list r-knitr)) (home-page "https://github.com/FelixErnst/Structstrings") (synopsis "Implementation of the dot bracket annotations with Biostrings") (description "The Structstrings package implements the widely used dot bracket annotation for storing base pairing information in structured RNA. Structstrings uses the infrastructure provided by the Biostrings package and derives the @code{DotBracketString} and related classes from the BString class. From these, base pair tables can be produced for in depth analysis. In addition, the loop indices of the base pairs can be retrieved as well. For better efficiency, information conversion is implemented in C, inspired to a large extend by the @code{ViennaRNA} package.") (license license:artistic2.0))) (define-public r-structuralvariantannotation (package (name "r-structuralvariantannotation") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "StructuralVariantAnnotation" version)) (sha256 (base32 "1h3l3xbxwf2w2dl0qz72v68h5g77zhd2rr0g86l2dhn67mhy8ml2")))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biocgenerics r-biostrings r-dplyr r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-rlang r-rtracklayer r-s4vectors r-stringr r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/StructuralVariantAnnotation/") (synopsis "R package designed to simplify structural variant analysis") (description "This package contains useful helper functions for dealing with structural variants in VCF format. The packages contains functions for parsing VCFs from a number of popular callers as well as functions for dealing with breakpoints involving two separate genomic loci encoded as GRanges objects.") (license license:gpl3))) (define-public r-summarizedexperiment (package (name "r-summarizedexperiment") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SummarizedExperiment" version)) (sha256 (base32 "1949k2658drmcrrr7v6748b40g2qym39n0ch50jxf0xmmlb1r04z")))) (properties `((upstream-name . "SummarizedExperiment"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-delayedarray r-genomeinfodb r-genomicranges r-iranges r-matrix r-matrixgenerics r-s4arrays r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/SummarizedExperiment") (synopsis "Container for representing genomic ranges by sample") (description "The SummarizedExperiment container contains one or more assays, each represented by a matrix-like object of numeric or other mode. The rows typically represent genomic ranges of interest and the columns represent samples.") (license license:artistic2.0))) (define-public r-survcomp (package (name "r-survcomp") (version "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "survcomp" version)) (sha256 (base32 "18a81vv88xj3frkdy5l6w2fc4xzr1k6vgbz4j4marlmh6mz6skin")))) (properties `((upstream-name . "survcomp"))) (build-system r-build-system) (propagated-inputs (list r-bootstrap r-ipred r-kernsmooth r-prodlim r-rmeta r-suppdists r-survival r-survivalroc)) (home-page "https://www.pmgenomics.ca/bhklab/") (synopsis "Performance assessment and comparison for survival analysis") (description "This is a package for the assessment and comparison of the performance of risk prediction (survival) models.") (license license:artistic2.0))) (define-public r-sva (package (name "r-sva") (version "3.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "sva" version)) (sha256 (base32 "0p4zgw1pi5vnaqxn6jmvhpy0h5hnnqp41n0k2v0chhqgqxgn67x1")))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-edger r-genefilter r-limma r-matrixstats r-mgcv)) (home-page "https://bioconductor.org/packages/sva") (synopsis "Surrogate variable analysis") (description "This package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. It also contains functions for identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data like gene expression/RNA sequencing/methylation/brain imaging data that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise.") (license license:artistic2.0))) (define-public r-systempiper (package (name "r-systempiper") (version "2.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "systemPipeR" version)) (sha256 (base32 "01amqib9ahrf19xpy4ivlsss82zyp3w7fbgwrwp53zfbg0cninga")))) (properties `((upstream-name . "systemPipeR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-crayon r-genomicranges r-ggplot2 r-htmlwidgets r-magrittr r-rsamtools r-s4vectors r-shortread r-stringr r-summarizedexperiment r-yaml)) (native-inputs (list r-knitr)) (home-page "https://github.com/tgirke/systemPipeR") (synopsis "Next generation sequencing workflow and reporting environment") (description "This R package provides tools for building and running automated end-to-end analysis workflows for a wide range of @dfn{next generation sequence} (NGS) applications such as RNA-Seq, ChIP-Seq, VAR-Seq and Ribo-Seq. Important features include a uniform workflow interface across different NGS applications, automated report generation, and support for running both R and command-line software, such as NGS aligners or peak/variant callers, on local computers or compute clusters. Efficient handling of complex sample sets and experimental designs is facilitated by a consistently implemented sample annotation infrastructure.") (license license:artistic2.0))) (define-public r-topgo (package (name "r-topgo") (version "2.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "topGO" version)) (sha256 (base32 "1sznyx11kzw8d8zg5ynl9sp6m0daf2yw3f2b24maxbpr1xkif9nx")))) (properties `((upstream-name . "topGO"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-dbi r-go-db r-graph r-lattice r-matrixstats r-sparsem)) (home-page "https://bioconductor.org/packages/topGO") (synopsis "Enrichment analysis for gene ontology") (description "The topGO package provides tools for testing @dfn{gene ontology} (GO) terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.") ;; Any version of the LGPL applies. (license license:lgpl2.1+))) (define-public r-tximport (package (name "r-tximport") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tximport" version)) (sha256 (base32 "0m6avd815xcv3py5sym083pdccvd4crdyyc7sfpxccnksgchyrf2")))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/tximport") (synopsis "Import and summarize transcript-level estimates for gene-level analysis") (description "This package provides tools to import transcript-level abundance, estimated counts and transcript lengths, and to summarize them into matrices for use with downstream gene-level analysis packages. Average transcript length, weighted by sample-specific transcript abundance estimates, is provided as a matrix which can be used as an offset for different expression of gene-level counts.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-valr (package (name "r-valr") (version "0.7.0") (source (origin (method url-fetch) (uri (cran-uri "valr" version)) (sha256 (base32 "038s5n8cbffpb9132rpw7q82cxfzlsc86fcywhv63c8szm5g9nrk")))) (build-system r-build-system) (propagated-inputs (list r-broom r-cli r-dplyr r-ggplot2 r-lifecycle r-rcpp r-readr r-rlang r-rtracklayer r-stringr r-tibble)) (native-inputs (list r-knitr)) (home-page "https://github.com/rnabioco/valr") (synopsis "Genome interval arithmetic in R") (description "This package enables you to read and manipulate genome intervals and signals. It provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data.") (license license:expat))) (define-public r-variantannotation (package (name "r-variantannotation") (version "1.48.1") (source (origin (method url-fetch) (uri (bioconductor-uri "VariantAnnotation" version)) (sha256 (base32 "0l9xkrvsrc3m65kdjcyir6jkpa718g7idziwr0pp5yaj84bd3xia")))) (properties `((upstream-name . "VariantAnnotation"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biostrings r-bsgenome r-dbi r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-matrixgenerics r-rhtslib r-rsamtools r-rtracklayer r-s4vectors r-summarizedexperiment r-xvector r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/VariantAnnotation") (synopsis "Package for annotation of genetic variants") (description "This R package can annotate variants, compute amino acid coding changes and predict coding outcomes.") (license license:artistic2.0))) (define-public r-vsn (package (name "r-vsn") (version "3.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "vsn" version)) (sha256 (base32 "0li0yxf8m34xpmrgv5vciy8zdsbfdlajl9cmnxr4g4nmarik2bkh")))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-ggplot2 r-lattice r-limma)) (native-inputs (list r-knitr)) ; for vignettes (home-page "https://bioconductor.org/packages/release/bioc/html/vsn.html") (synopsis "Variance stabilization and calibration for microarray data") (description "The package implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation. Differences between transformed intensities are analogous to \"normalized log-ratios\". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.") (license license:artistic2.0))) ;; There is no source tarball, so we fetch the code from the Bioconductor git ;; repository. (define-public r-xcir (let ((commit "3b59d456f2ad7f70285915b036b1dc4279687277") (revision "1")) (package (name "r-xcir") (version (git-version "1.8.0" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://git.bioconductor.org/packages/XCIR") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "1xxw5ady5j2p7z7zjxgx7lhm85x7fxbljiv49lc2ghsvh9wm937p")))) (properties `((upstream-name . "XCIR"))) (build-system r-build-system) (propagated-inputs (list r-biomart r-biostrings r-data-table r-ggplot2 r-iranges r-readxl r-s4vectors r-seqminer r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://github.com/SRenan/XCIR") (synopsis "Analysis of X chromosome inactivation") (description "This package is an R package that offers models and tools for subject level analysis of @dfn{X chromosome inactivation} (XCI) and XCI-escape inference.") (license license:gpl2)))) (define-public r-xina (package (name "r-xina") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "XINA" version)) (sha256 (base32 "1cnw2zbjfs8qcgqrx557g00m59h5pldcx788v9r4gn2f70rx7vx3")))) (properties `((upstream-name . "XINA"))) (build-system r-build-system) (propagated-inputs (list r-alluvial r-ggplot2 r-gridextra r-igraph r-mclust r-plyr r-stringdb)) (native-inputs (list r-knitr)) (home-page "https://git.bioconductor.org/packages/XINA") (synopsis "Identifying proteins that exhibit similar patterns") (description "The aim of @code{XINA} is to determine which proteins exhibit similar patterns within and across experimental conditions, since proteins with co-abundance patterns may have common molecular functions. @code{XINA} imports multiple datasets, tags dataset in silico, and combines the data for subsequent subgrouping into multiple clusters. The result is a single output depicting the variation across all conditions. @code{XINA} not only extracts coabundance profiles within and across experiments, but also incorporates protein-protein interaction databases and integrative resources such as @dfn{Kyoto encyclopedia of genes and genomes} (KEGG) to infer interactors and molecular functions, respectively, and produces intuitive graphical outputs.") (license license:gpl3))) (define-public r-xmapbridge (package (name "r-xmapbridge") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "xmapbridge" version)) (sha256 (base32 "0pby2h8m12xlngpk33dvh3nkrpgqi4f2mb7g9jafyiv3sl8pjd19")))) (properties `((upstream-name . "xmapbridge"))) (build-system r-build-system) (home-page "https://git.bioconductor.org/packages/xmapbridge") (synopsis "Display numeric data in the web based genome browser X:MAP") (description "The package @code{xmapbridge} can plot graphs in the X:Map genome browser. X:Map uses the Google Maps API to provide a scrollable view of the genome. It supports a number of species, and can be accessed at @url{http://xmap.picr.man.ac.uk}. This package exports plotting files in a suitable format. Graph plotting in R is done using calls to the functions @code{xmap.plot} and @code{xmap.points}, which have parameters that aim to be similar to those used by the standard plot methods in R. These result in data being written to a set of files (in a specific directory structure) that contain the data to be displayed, as well as some additional meta-data describing each of the graphs.") (license license:lgpl3))) (define-public r-xvector (package (name "r-xvector") (version "0.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "XVector" version)) (sha256 (base32 "0h03imdl0pyy714kmddsdnsv69bd8kr7bhi9wq9z18y8ahg5cqx1")))) (properties `((upstream-name . "XVector"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'use-system-zlib (lambda _ (substitute* "DESCRIPTION" (("zlibbioc, ") "")) (substitute* "NAMESPACE" (("import\\(zlibbioc\\)") "")) #t))))) (inputs (list zlib)) (propagated-inputs (list r-biocgenerics r-iranges r-s4vectors r-zlibbioc)) (home-page "https://bioconductor.org/packages/XVector") (synopsis "Representation and manpulation of external sequences") (description "This package provides memory efficient S4 classes for storing sequences \"externally\" (behind an R external pointer, or on disk).") (license license:artistic2.0))) (define-public r-zlibbioc (package (name "r-zlibbioc") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "zlibbioc" version)) (sha256 (base32 "043xwgw3yclxnxlfl7fdwf7qf7fajzvqdv34qxnngxj9wpgha3gv")))) (properties `((upstream-name . "zlibbioc"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/zlibbioc") (synopsis "Provider for zlib-1.2.5 to R packages") (description "This package uses the source code of zlib-1.2.5 to create libraries for systems that do not have these available via other means.") (license license:artistic2.0))) (define-public r-zellkonverter (package (name "r-zellkonverter") (version "1.12.1") (source (origin (method url-fetch) (uri (bioconductor-uri "zellkonverter" version)) (sha256 (base32 "029bqn25c90algvgacxbv0fdznpg879xjwfj5hiydfwq30y0kr8r")))) (properties `((upstream-name . "zellkonverter"))) (build-system r-build-system) (propagated-inputs (list r-basilisk r-cli r-delayedarray r-matrix r-reticulate r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/theislab/zellkonverter") (synopsis "Conversion between AnnData and single-cell experiments objects") (description "This package provides methods to convert between Python AnnData objects and SingleCellExperiment objects. These are primarily intended for use by downstream Bioconductor packages that wrap Python methods for single-cell data analysis. It also includes functions to read and write H5AD files used for saving AnnData objects to disk.") (license license:expat))) (define-public r-geneplotter (package (name "r-geneplotter") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "geneplotter" version)) (sha256 (base32 "0zvb84jlsvmr2dvwyy4xjqv353qrxpls0v2vz0nmj1q4m7lrpl1k")))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-biocgenerics r-lattice r-rcolorbrewer)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/geneplotter") (synopsis "Graphics functions for genomic data") (description "This package provides functions for plotting genomic data.") (license license:artistic2.0))) (define-public r-oligoclasses (package (name "r-oligoclasses") (version "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "oligoClasses" version)) (sha256 (base32 "1gdvjvyjfpvvrqyj9rq1l4dnq00hr8vr8knnlb9gnjk21sbcf1d7")))) (properties `((upstream-name . "oligoClasses"))) (build-system r-build-system) (propagated-inputs (list r-affyio r-biobase r-biocgenerics r-biocmanager r-biostrings r-dbi r-ff r-foreach r-genomicranges r-iranges r-rsqlite r-s4vectors r-summarizedexperiment)) (home-page "https://bioconductor.org/packages/oligoClasses/") (synopsis "Classes for high-throughput arrays") (description "This package contains class definitions, validity checks, and initialization methods for classes used by the @code{oligo} and @code{crlmm} packages.") (license license:gpl2+))) (define-public r-oligo (package (name "r-oligo") (version "1.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "oligo" version)) (sha256 (base32 "0pqn5qslynylx235wknwj71a6j7xf5i6pb7wjm00jwrdbqwvdlp6")))) (properties `((upstream-name . "oligo"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-affxparser r-affyio r-biobase r-biocgenerics r-biostrings r-dbi r-ff r-oligoclasses r-preprocesscore r-rsqlite r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/oligo/") (synopsis "Preprocessing tools for oligonucleotide arrays") (description "This package provides a package to analyze oligonucleotide arrays (expression/SNP/tiling/exon) at probe-level. It currently supports Affymetrix (CEL files) and NimbleGen arrays (XYS files).") (license license:lgpl2.0+))) (define-public r-qfeatures (package (name "r-qfeatures") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "QFeatures" version)) (sha256 (base32 "1g744fpb6g690bjbjs4v2899wwv6qc7n5cyq977pm8f3wln0m7mx")))) (properties `((upstream-name . "QFeatures"))) (build-system r-build-system) (propagated-inputs (list r-annotationfilter r-biobase r-biocgenerics r-igraph r-iranges r-lazyeval r-mscoreutils r-multiassayexperiment r-plotly r-protgenerics r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/RforMassSpectrometry/QFeatures") (synopsis "Quantitative features for mass spectrometry data") (description "The QFeatures infrastructure enables the management and processing of quantitative features for high-throughput mass spectrometry assays. It provides a familiar Bioconductor user experience to manages quantitative data across different assay levels (such as peptide spectrum matches, peptides and proteins) in a coherent and tractable format.") (license license:artistic2.0))) (define-public r-quantsmooth (package (name "r-quantsmooth") (version "1.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "quantsmooth" version)) (sha256 (base32 "050nnwhxk3ld615f6ij4cc3d6wzrrxykvv02fr20fg5gzdj0z08a")))) (properties `((upstream-name . "quantsmooth"))) (build-system r-build-system) (propagated-inputs (list r-quantreg)) (home-page "https://bioconductor.org/packages/quantsmooth") (synopsis "Quantile smoothing and genomic visualization of array data") (description "This package implements quantile smoothing. It contains a dataset used to produce human chromosomal ideograms for plotting purposes and a collection of arrays that contains data of chromosome 14 of 3 colorectal tumors. The package provides functions for painting chromosomal icons, chromosome or chromosomal idiogram and other types of plots. Quantsmooth offers options like converting chromosomal ids to their numeric form, retrieving the human chromosomal length from NCBI data, retrieving regions of interest in a vector of intensities using quantile smoothing, determining cytoband position based on the location of the probe, and other useful tools.") (license license:gpl2))) (define-public r-qvalue (package (name "r-qvalue") (version "2.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "qvalue" version)) (sha256 (base32 "10v5khnrs1fa84d430zy52f9466rwb1byaw1l3c9nivbhmaxhvyi")))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-reshape2)) (native-inputs (list r-knitr)) (home-page "https://github.com/StoreyLab/qvalue") (synopsis "Q-value estimation for false discovery rate control") (description "This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local @dfn{false discovery rate} (FDR) values. The q-value of a test measures the proportion of false positives incurred when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Various plots are automatically generated, allowing one to make sensible significance cut-offs. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.") ;; Any version of the LGPL. (license license:lgpl3+))) (define r-rcppnumerical (package (name "r-rcppnumerical") (version "0.4-0") (source (origin (method url-fetch) (uri (cran-uri "RcppNumerical" version)) (sha256 (base32 "1a92fql6mijhnr1kxkcxwivf95pk9lhgmhzkshs51h0ybfv5krik")))) (properties `((upstream-name . "RcppNumerical"))) (build-system r-build-system) (propagated-inputs `(("r-rcpp" ,r-rcpp) ("r-rcppeigen" ,r-rcppeigen))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/yixuan/RcppNumerical") (synopsis "Rcpp integration for numerical computing libraries") (description "This package provides a collection of libraries for numerical computing (numerical integration, optimization, etc.) and their integration with @code{Rcpp}.") (license license:gpl2+))) (define-public r-apcomplex (package (name "r-apcomplex") (version "2.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "apComplex" version)) (sha256 (base32 "1y3c3358y7ynn5lj2gcy9ll2gxnnlv689pj0bgr2gsnhbss1kw1r")))) (properties `((upstream-name . "apComplex"))) (build-system r-build-system) (propagated-inputs (list r-graph r-org-sc-sgd-db r-rbgl r-rgraphviz)) (home-page "https://bioconductor.org/packages/apComplex") (synopsis "Estimate protein complex membership using AP-MS protein data") (description "This package provides functions to estimate a bipartite graph of protein complex membership using @acronym{AP-MS, affinity purification–mass spectrometry} data.") (license license:lgpl2.0+))) (define-public r-apeglm (package (name "r-apeglm") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "apeglm" version)) (sha256 (base32 "0cj9yzmh9w3fk3rxmk2k5j55r42mmz9znszmr4l160mr23alkzx4")))) (properties `((upstream-name . "apeglm"))) (build-system r-build-system) (propagated-inputs (list r-emdbook r-genomicranges r-rcpp r-rcppeigen r-rcppnumerical r-summarizedexperiment)) (native-inputs (list r-knitr r-rmarkdown)) (home-page "https://bioconductor.org/packages/apeglm") (synopsis "Approximate posterior estimation for GLM coefficients") (description "This package provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.") (license license:gpl2))) (define-public r-greylistchip (package (name "r-greylistchip") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GreyListChIP" version)) (sha256 (base32 "1k974cvfbkl8ffn7k2la843bv2pf33cr5f6fahiiy24d68lxwifr")))) (properties `((upstream-name . "GreyListChIP"))) (build-system r-build-system) (propagated-inputs (list r-bsgenome r-genomeinfodb r-genomicalignments r-genomicranges r-mass r-rsamtools r-rtracklayer r-summarizedexperiment)) (home-page "https://bioconductor.org/packages/GreyListChIP") (synopsis "Greylist artefact regions based on ChIP inputs") (description "This package identifies regions of ChIP experiments with high signal in the input, that lead to spurious peaks during peak calling.") (license license:artistic2.0))) (define-public r-diffbind (package (name "r-diffbind") (version "3.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DiffBind" version)) (sha256 (base32 "1nlcx4fl1cpcg38cn9p55f75bv6pcg6h2jv4z94g2b7g1gwjd686")))) (properties `((upstream-name . "DiffBind"))) (build-system r-build-system) (propagated-inputs (list r-amap r-apeglm r-ashr r-biocparallel r-deseq2 r-dplyr r-genomicalignments r-genomicranges r-ggplot2 r-ggrepel r-gplots r-greylistchip r-iranges r-lattice r-limma r-locfit r-rcolorbrewer r-rcpp r-rhtslib r-rsamtools r-s4vectors r-summarizedexperiment r-systempiper)) (home-page "https://bioconductor.org/packages/DiffBind") (synopsis "Differential binding analysis of ChIP-Seq peak data") (description "This package computes differentially bound sites from multiple ChIP-seq experiments using affinity (quantitative) data. Also enables occupancy (overlap) analysis and plotting functions.") (license license:artistic2.0))) (define-public r-ripseeker (package (name "r-ripseeker") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RIPSeeker" version)) (sha256 (base32 "1wyv9mfrbxzklysfjcnwb8yils71janyyxa982jn0zxx4p9cl3vs")))) (properties `((upstream-name . "RIPSeeker"))) (build-system r-build-system) (propagated-inputs (list r-s4vectors r-iranges r-genomicranges r-summarizedexperiment r-rsamtools r-genomicalignments r-rtracklayer)) (home-page "https://bioconductor.org/packages/RIPSeeker") (synopsis "Identifying protein-associated transcripts from RIP-seq experiments") (description "This package infers and discriminates RIP peaks from RIP-seq alignments using two-state HMM with negative binomial emission probability. While RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.") (license license:gpl2))) (define-public r-mbecs (package (name "r-mbecs") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MBECS" version)) (sha256 (base32 "1j7vb26n2fnf5fkk8hfz552yx91g4zg719alhg4hg2vvjd1qx2l1")))) (properties `((upstream-name . "MBECS"))) (build-system r-build-system) (arguments (list #:phases #~(modify-phases %standard-phases (add-after 'unpack 'set-HOME ;; Fontconfig needs a writable cache (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-cluster r-dplyr r-ggplot2 r-gridextra r-limma r-lme4 r-lmertest r-magrittr r-matrix r-pheatmap r-phyloseq r-rmarkdown r-ruv r-sva r-tibble r-tidyr r-vegan)) (native-inputs (list r-knitr)) (home-page "https://github.com/rmolbrich/MBECS") (synopsis "Evaluation and correction of batch effects in microbiome data-sets") (description "The @acronym{MBECS, Microbiome Batch Effect Correction Suite} provides a set of functions to evaluate and mitigate unwated noise due to processing in batches. To that end it incorporates a host of batch correcting algorithms (BECA) from various packages. In addition it offers a correction and reporting pipeline that provides a preliminary look at the characteristics of a data-set before and after correcting for batch effects.") (license license:artistic2.0))) (define-public r-mbkmeans (package (name "r-mbkmeans") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mbkmeans" version)) (sha256 (base32 "1x7azijfs28iz2w40b9hnpgwh4jxgihl8cj6h91b2wgz79sq649l")))) (build-system r-build-system) (native-inputs (list r-knitr)) (propagated-inputs (list r-beachmat r-benchmarkme r-biocparallel r-clusterr r-delayedarray r-matrix r-rcpp r-rcpparmadillo r-rhdf5lib r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (home-page "https://bioconductor.org/packages/mbkmeans") (synopsis "Mini-batch k-means clustering for single-cell RNA-seq") (description "This package implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.") (license license:expat))) (define-public r-multibac (package (name "r-multibac") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MultiBaC" version)) (sha256 (base32 "1mwfibakrxgs3r572bqqqmzq7ys6cs0bpn0wfrcb08ww2197xc4j")))) (properties `((upstream-name . "MultiBaC"))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-matrix r-multiassayexperiment r-pcamethods r-plotrix r-ropls)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/MultiBaC") (synopsis "Multiomic batch effect correction") (description "MultiBaC is a strategy to correct batch effects from multiomic datasets distributed across different labs or data acquisition events. MultiBaC is able to remove batch effects across different omics generated within separate batches provided that at least one common omic data type is included in all the batches considered.") (license license:gpl3))) (define-public r-multtest (package (name "r-multtest") (version "2.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "multtest" version)) (sha256 (base32 "0s8x2rg2xp6awg2cikybgxrxpi9f91jah7dskk5dnfkazd20di4j")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-mass r-survival)) (home-page "https://bioconductor.org/packages/multtest") (synopsis "Resampling-based multiple hypothesis testing") (description "This package can do non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of T- and F-statistics (including T-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with T-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted P-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.") (license license:lgpl3))) (define-public r-graph (package (name "r-graph") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "graph" version)) (sha256 (base32 "0p7g7ykpkngbs3h1dsackfy93l8lvc301lr64ffsiaw60gllcx01")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/graph") (synopsis "Handle graph data structures in R") (description "This package implements some simple graph handling capabilities for R.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-ggm (package (name "r-ggm") (version "2.5") (source (origin (method url-fetch) (uri (cran-uri "ggm" version)) (sha256 (base32 "11wc6k2kj2ydy0dyks5mbvbhxm1r43id87anl1jg6dn0yv4m78di")))) (properties `((upstream-name . "ggm"))) (build-system r-build-system) (propagated-inputs (list r-graph r-igraph)) (home-page "https://cran.r-project.org/package=ggm") (synopsis "Functions for graphical Markov models") (description "This package provides functions and datasets for maximum likelihood fitting of some classes of graphical Markov models.") (license license:gpl2+))) (define-public r-ggtreeextra (package (name "r-ggtreeextra") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ggtreeExtra" version)) (sha256 (base32 "0q8k81mq5q9fym4zyrkzapgyww23lkxpkyj2s9r1y0ciclk90zdc")))) (properties `((upstream-name . "ggtreeExtra"))) (build-system r-build-system) (propagated-inputs (list r-cli r-ggnewscale r-ggplot2 r-ggtree r-magrittr r-rlang r-tidytree)) (native-inputs (list r-knitr)) (home-page "https://github.com/YuLab-SMU/ggtreeExtra/") (synopsis "Add geometric layers On circular or other layout tree of ggtree") (description "ggtreeExtra extends the method for mapping and visualizing associated data on phylogenetic tree using ggtree. These associated data can be presented on the external panels to circular layout, fan layout, or other rectangular layout tree built by ggtree with the grammar of ggplot2.") (license license:gpl3+))) ;; This is a CRAN package, but it depends on a bunch of Bioconductor packages. (define-public r-ggpicrust2 (package (name "r-ggpicrust2") (version "1.7.3") (source (origin (method url-fetch) (uri (cran-uri "ggpicrust2" version)) (sha256 (base32 "0zjlsvzl2f74fvqw4ijnai23qwhlcpgd5p8z9dclnwnsgdbm6hcq")))) (properties `((upstream-name . "ggpicrust2"))) (build-system r-build-system) (propagated-inputs (list r-aldex2 r-aplot r-circlize r-deseq2 r-dplyr r-edger r-ggally r-ggh4x r-ggplot2 r-ggprism r-lefser r-limma r-maaslin2 r-metagenomeseq r-microbiomestat r-patchwork r-readr r-summarizedexperiment r-tibble r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/cafferychen777/ggpicrust2") (synopsis "Make PICRUSt2 output analysis and visualization easier") (description "This package provides a convenient way to analyze and visualize PICRUSt2 output with pre-defined plots and functions. It allows for generating statistical plots about microbiome functional predictions and offers customization options. It features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. It streamlines the PICRUSt2 analysis and visualization process.") (license license:expat))) ;; This is a CRAN package, but it depends on a Bioconductor package, r-graph. (define-public r-perfmeas (package (name "r-perfmeas") (version "1.2.5") (source (origin (method url-fetch) (uri (cran-uri "PerfMeas" version)) (sha256 (base32 "13yjk0kwpbsqwl056hzf0zj2br1mk4faqcn1whdfxmq348c14hjb")))) (properties `((upstream-name . "PerfMeas"))) (build-system r-build-system) (propagated-inputs (list r-graph r-limma r-rbgl)) (home-page "https://cran.r-project.org/web/packages/PerfMeas/") (synopsis "Performance measures for ranking and classification tasks") (description "This package implements different performance measures for classification and ranking tasks. @dfn{Area under curve} (AUC), precision at a given recall, F-score for single and multiple classes are available.") (license license:gpl2+))) (define-public r-pepsnmr (package (name "r-pepsnmr") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "PepsNMR" version)) (sha256 (base32 "013jw9l7r87j4bmpjrvq5qn91kp44wj5vd68cl5axbqhjg7fq4ww")))) (properties `((upstream-name . "PepsNMR"))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-gridextra r-matrix r-matrixstats r-ptw r-reshape2)) (native-inputs (list r-knitr)) (home-page "https://github.com/ManonMartin/PepsNMR") (synopsis "Pre-process 1H-NMR FID signals") (description "This package provides R functions for common pre-processing steps that are applied on @acronym{1H-NMR, proton nuclear magnetic resonance} data. It also provides a function to read the @acronym{FID, free induction decay} signals directly in the Bruker format.") (license license:gpl2))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-codedepends (package (name "r-codedepends") (version "0.6.5") (source (origin (method url-fetch) (uri (cran-uri "CodeDepends" version)) (sha256 (base32 "0l7kiv3awx50glf5cs841b4zzsff1ml90f0zr868ygvwsr4ps1hq")))) (properties `((upstream-name . "CodeDepends"))) (build-system r-build-system) (propagated-inputs (list r-codetools r-graph r-xml)) (home-page "https://cran.r-project.org/web/packages/CodeDepends") (synopsis "Analysis of R code for reproducible research and code comprehension") (description "This package provides tools for analyzing R expressions or blocks of code and determining the dependencies between them. It focuses on R scripts, but can be used on the bodies of functions. There are many facilities including the ability to summarize or get a high-level view of code, determining dependencies between variables, code improvement suggestions.") ;; Any version of the GPL (license (list license:gpl2+ license:gpl3+)))) (define-public r-chippeakanno (package (name "r-chippeakanno") (version "3.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChIPpeakAnno" version)) (sha256 (base32 "012hhakhk81qk1hi4igfa4vji678gmyvdxi05z9mdsx721lwwy2i")))) (properties `((upstream-name . "ChIPpeakAnno"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-biomart r-biostrings r-dbi r-dplyr r-ensembldb r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-ggplot2 r-graph r-interactionset r-iranges r-keggrest r-matrixstats r-multtest r-rbgl r-regioner r-rsamtools r-rtracklayer r-s4vectors r-summarizedexperiment r-venndiagram)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ChIPpeakAnno") (synopsis "Peaks annotation from ChIP-seq and ChIP-chip experiments") (description "The package includes functions to retrieve the sequences around the peak, obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or custom features such as most conserved elements and other transcription factor binding sites supplied by users. Starting 2.0.5, new functions have been added for finding the peaks with bi-directional promoters with summary statistics (peaksNearBDP), for summarizing the occurrence of motifs in peaks (summarizePatternInPeaks) and for adding other IDs to annotated peaks or enrichedGO (addGeneIDs).") (license license:gpl2+))) (define-public r-matrixgenerics (package (name "r-matrixgenerics") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MatrixGenerics" version)) (sha256 (base32 "14x5jib5xh2006lg96v3b9n2pnbjcbsd5igqybqsv0c53rk9394d")))) (properties `((upstream-name . "MatrixGenerics"))) (build-system r-build-system) (propagated-inputs (list r-matrixstats)) (home-page "https://bioconductor.org/packages/MatrixGenerics") (synopsis "S4 generic summary statistic functions for matrix-like objects") (description "This package provides S4 generic functions modeled after the @code{matrixStats} API for alternative matrix implementations. Packages with alternative matrix implementation can depend on this package and implement the generic functions that are defined here for a useful set of row and column summary statistics. Other package developers can import this package and handle a different matrix implementations without worrying about incompatibilities.") (license license:artistic2.0))) (define-public r-marray (package (name "r-marray") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "marray" version)) (sha256 (base32 "1gj4mdbni5fk2z3zrk2cnhy610ihhhwjb9l1crglkklwxhkqlkvd")))) (build-system r-build-system) (propagated-inputs (list r-limma)) (home-page "https://bioconductor.org/packages/marray") (synopsis "Exploratory analysis for two-color spotted microarray data") (description "This package contains class definitions for two-color spotted microarray data. It also includes functions for data input, diagnostic plots, normalization and quality checking.") (license license:lgpl2.0+))) (define-public r-cghbase (package (name "r-cghbase") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CGHbase" version)) (sha256 (base32 "1iw03gq1kvmn9a6h0kw389l9i7h99fbxcsag9f3gkfznjv0vp5k4")))) (properties `((upstream-name . "CGHbase"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-marray)) (home-page "https://bioconductor.org/packages/CGHbase") (synopsis "Base functions and classes for arrayCGH data analysis") (description "This package contains functions and classes that are needed by the @code{arrayCGH} packages.") (license license:gpl2+))) (define-public r-cghcall (package (name "r-cghcall") (version "2.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CGHcall" version)) (sha256 (base32 "1x2zfr40bm42zd1bljwpbz3cz1q23a3yy1g277lwsp78gxbn3zly")))) (properties `((upstream-name . "CGHcall"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-cghbase r-dnacopy r-impute r-snowfall)) (home-page "https://bioconductor.org/packages/CGHcall") (synopsis "Base functions and classes for arrayCGH data analysis") (description "This package contains functions and classes that are needed by @code{arrayCGH} packages.") (license license:gpl2+))) (define-public r-qdnaseq (package (name "r-qdnaseq") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "QDNAseq" version)) (sha256 (base32 "1n2qngqqw3hfv1yscksnpg8wslc85dlvaqw1hz2qvsxf1gcq2mks")))) (properties `((upstream-name . "QDNAseq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-cghbase r-cghcall r-dnacopy r-future-apply r-genomicranges r-iranges r-matrixstats r-r-utils r-rsamtools)) (home-page "https://bioconductor.org/packages/QDNAseq") (synopsis "Quantitative DNA sequencing for chromosomal aberrations") (description "The genome is divided into non-overlapping fixed-sized bins, number of sequence reads in each counted, adjusted with a simultaneous two-dimensional loess correction for sequence mappability and GC content, and filtered to remove spurious regions in the genome. Downstream steps of segmentation and calling are also implemented via packages DNAcopy and CGHcall, respectively.") (license license:gpl2+))) (define-public r-bayseq (package (name "r-bayseq") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "baySeq" version)) (sha256 (base32 "1b5vvzl0kkm6kb03vr6m6sdlr3azpc24933a7ayxkiffmf2wbi0g")))) (properties `((upstream-name . "baySeq"))) (build-system r-build-system) (propagated-inputs (list r-abind r-edger r-genomicranges)) (home-page "https://bioconductor.org/packages/baySeq/") (synopsis "Bayesian analysis of differential expression patterns in count data") (description "This package identifies differential expression in high-throughput count data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.") (license license:gpl3))) (define-public r-chipcomp (package (name "r-chipcomp") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChIPComp" version)) (sha256 (base32 "061d2z1rrcyad6cf19si14ab9a3dxdi17sfbkx3vx8kdsfs3djy9")))) (properties `((upstream-name . "ChIPComp"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-bsgenome-hsapiens-ucsc-hg19 r-bsgenome-mmusculus-ucsc-mm9 r-genomeinfodb r-genomicranges r-iranges r-limma r-rsamtools r-rtracklayer r-s4vectors)) (home-page "https://bioconductor.org/packages/ChIPComp") (synopsis "Quantitative comparison of multiple ChIP-seq datasets") (description "ChIPComp implements a statistical method for quantitative comparison of multiple ChIP-seq datasets. It detects differentially bound sharp binding sites across multiple conditions considering matching control in ChIP-seq datasets.") ;; Any version of the GPL. (license license:gpl3+))) (define-public r-riboprofiling (package (name "r-riboprofiling") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RiboProfiling" version)) (sha256 (base32 "1bd37ypxsj9p94p2851hhc9ind59b5pkg1lyalha1nfw5gf8iay3")))) (properties `((upstream-name . "RiboProfiling"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-data-table r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-ggbio r-ggplot2 r-iranges r-plyr r-reshape2 r-rsamtools r-rtracklayer r-s4vectors r-sqldf)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/RiboProfiling/") (synopsis "Ribosome profiling data analysis") (description "Starting with a BAM file, this package provides the necessary functions for quality assessment, read start position recalibration, the counting of genomic sequence reads on CDS, 3'UTR, and 5'UTR, and plotting of count data: pairs, log fold-change, codon frequency and coverage assessment, principal component analysis on codon coverage.") (license license:gpl3))) (define-public r-riboseqr (package (name "r-riboseqr") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "riboSeqR" version)) (sha256 (base32 "1cigbp3pc70ipja9mmprkrs91723r1zwgxbzyp87n5mb0i4q8xqh")))) (properties `((upstream-name . "riboSeqR"))) (build-system r-build-system) (propagated-inputs (list r-abind r-bayseq r-genomeinfodb r-genomicranges r-iranges r-rsamtools r-seqlogo)) (home-page "https://bioconductor.org/packages/riboSeqR/") (synopsis "Analysis of sequencing data from ribosome profiling experiments") (description "This package provides plotting functions, frameshift detection and parsing of genetic sequencing data from ribosome profiling experiments.") (license license:gpl3))) (define-public r-interactionset (package (name "r-interactionset") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "InteractionSet" version)) (sha256 (base32 "0mpgxcwhb734pyn6bj93xknb704yrjkprxpa7kqwl24rbqyjydqs")))) (properties `((upstream-name . "InteractionSet"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-genomeinfodb r-genomicranges r-iranges r-matrix r-rcpp r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/InteractionSet") (synopsis "Base classes for storing genomic interaction data") (description "This package provides the @code{GInteractions}, @code{InteractionSet} and @code{ContactMatrix} objects and associated methods for storing and manipulating genomic interaction data from Hi-C and ChIA-PET experiments.") (license license:gpl3))) (define-public r-genomicinteractions (package (name "r-genomicinteractions") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicInteractions" version)) (sha256 (base32 "13rnxig22agykzv3q7wm4wr9c5aw56q6q1zv8m5g5ngjcssy8l4c")))) (properties `((upstream-name . "GenomicInteractions"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-data-table r-dplyr r-genomeinfodb r-genomicranges r-ggplot2 r-gridextra r-gviz r-igraph r-interactionset r-iranges r-rsamtools r-rtracklayer r-s4vectors r-stringr)) (native-inputs (list r-knitr)) (home-page "https://github.com/ComputationalRegulatoryGenomicsICL/GenomicInteractions/") (synopsis "R package for handling genomic interaction data") (description "This R package provides tools for handling genomic interaction data, such as ChIA-PET/Hi-C, annotating genomic features with interaction information and producing various plots and statistics.") (license license:gpl3))) (define-public r-ctc (package (name "r-ctc") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ctc" version)) (sha256 (base32 "10a83rr0qhnzdhvlbyn0y690hxnl8q86z47dpimr6sq41w463im3")))) (build-system r-build-system) (propagated-inputs (list r-amap)) (home-page "https://bioconductor.org/packages/ctc/") (synopsis "Cluster and tree conversion") (description "This package provides tools for exporting and importing classification trees and clusters to other programs.") (license license:gpl2))) (define-public r-goseq (package (name "r-goseq") (version "1.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "goseq" version)) (sha256 (base32 "0waw5hhxh8yab8fqw9gnd3l39s6wkmp8690rhs4llarpqz6ssrhk")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biasedurn r-biocgenerics r-genelendatabase r-go-db r-mgcv)) (home-page "https://bioconductor.org/packages/goseq/") (synopsis "Gene Ontology analyser for RNA-seq and other length biased data") (description "This package provides tools to detect Gene Ontology and/or other user defined categories which are over/under represented in RNA-seq data.") (license license:lgpl2.0+))) (define-public r-glimma (package (name "r-glimma") (version "2.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Glimma" version)) (sha256 (base32 "0pkh15jjjb83pq7d49yzwb2gyc95x4rww78qnzpdrzhycgmcapii")) (modules '((guix build utils))) (snippet '(with-directory-excursion "inst/htmlwidgets/lib/" (for-each delete-file ;; XXX: we keep inst/v1/js/glimma.min.js because ;; it's not clear how to build it. (cons "vega/vega.min.js" (find-files "datatables" "\\.min\\.js$"))))))) (properties `((upstream-name . "Glimma"))) (build-system r-build-system) (arguments (list #:modules '((guix build utils) (guix build r-build-system) (srfi srfi-1)) #:phases '(modify-phases %standard-phases (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (with-directory-excursion "inst/htmlwidgets/lib/" (let ((files (list "datatables/Buttons-1.6.1/js/buttons.bootstrap.js" "datatables/Buttons-1.6.1/js/buttons.bootstrap4.js" "datatables/Buttons-1.6.1/js/buttons.colVis.js" "datatables/Buttons-1.6.1/js/buttons.flash.js" "datatables/Buttons-1.6.1/js/buttons.foundation.js" "datatables/Buttons-1.6.1/js/buttons.html5.js" "datatables/Buttons-1.6.1/js/buttons.jqueryui.js" "datatables/Buttons-1.6.1/js/buttons.print.js" "datatables/Buttons-1.6.1/js/buttons.semanticui.js" "datatables/Buttons-1.6.1/js/dataTables.buttons.js" "datatables/DataTables-1.10.20/js/dataTables.bootstrap.js" "datatables/DataTables-1.10.20/js/dataTables.bootstrap4.js" "datatables/DataTables-1.10.20/js/dataTables.foundation.js" "datatables/DataTables-1.10.20/js/dataTables.jqueryui.js" "datatables/DataTables-1.10.20/js/dataTables.semanticui.js" "datatables/DataTables-1.10.20/js/jquery.dataTables.js" "datatables/JSZip-2.5.0/jszip.js" "datatables/Scroller-2.0.1/js/dataTables.scroller.js" "datatables/Scroller-2.0.1/js/scroller.bootstrap.js" "datatables/Scroller-2.0.1/js/scroller.bootstrap4.js" "datatables/Scroller-2.0.1/js/scroller.foundation.js" "datatables/Scroller-2.0.1/js/scroller.jqueryui.js" "datatables/Scroller-2.0.1/js/scroller.semanticui.js" "datatables/datatables.js" "datatables/jQuery-1.12.4/jquery-1.12.4.js" "vega/vega.js"))) (for-each (lambda (source) (let ((target (string-append (basename source ".js") ".min.js"))) (format #true "Processing ~a --> ~a~%" source target) (invoke "esbuild" source "--minify" (string-append "--outfile=" target)))) files)))))))) (propagated-inputs (list r-deseq2 r-edger r-htmlwidgets r-jsonlite r-limma r-s4vectors r-summarizedexperiment)) (native-inputs (list esbuild r-knitr)) (home-page "https://github.com/Shians/Glimma") (synopsis "Interactive HTML graphics") (description "This package generates interactive visualisations for analysis of RNA-sequencing data using output from limma, edgeR or DESeq2 packages in an HTML page. The interactions are built on top of the popular static representations of analysis results in order to provide additional information.") (license license:lgpl3))) (define-public r-glmgampoi (package (name "r-glmgampoi") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "glmGamPoi" version)) (sha256 (base32 "1qc3f1spzkcjk95b07jpxgrjiwmlamwwx6mlhml4lgzy5qby7dpw")))) (properties `((upstream-name . "glmGamPoi"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-biocgenerics r-delayedarray r-delayedmatrixstats r-hdf5array r-matrixgenerics r-matrixstats r-rcpp r-rcpparmadillo r-rlang r-singlecellexperiment r-summarizedexperiment r-vctrs)) (native-inputs (list r-knitr)) (home-page "https://github.com/const-ae/glmGamPoi") (synopsis "Fit a Gamma-Poisson Generalized Linear Model") (description "Fit linear models to overdispersed count data. The package can estimate the overdispersion and fit repeated models for matrix input. It is designed to handle large input datasets as they typically occur in single cell RNA-seq experiments.") (license license:gpl3))) (define-public r-rots (package (name "r-rots") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ROTS" version)) (sha256 (base32 "1zd5w3mq0vjs3ivdb23x6d28sqq0dsfv13d64k1yijr4vdk3wvp6")))) (properties `((upstream-name . "ROTS"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-rcpp)) (home-page "https://bioconductor.org/packages/ROTS/") (synopsis "Reproducibility-Optimized Test Statistic") (description "This package provides tools for calculating the @dfn{Reproducibility-Optimized Test Statistic} (ROTS) for differential testing in omics data.") (license license:gpl2+))) (define-public r-plgem (package (name "r-plgem") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "plgem" version)) (sha256 (base32 "0s5hia3xvddi0gaawcr5zsh34v6sh2zdi5gsjis8ar2g2p7agqgg")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-mass)) (home-page "https://www.genopolis.it") (synopsis "Detect differential expression in microarray and proteomics datasets") (description "The Power Law Global Error Model (PLGEM) has been shown to faithfully model the variance-versus-mean dependence that exists in a variety of genome-wide datasets, including microarray and proteomics data. The use of PLGEM has been shown to improve the detection of differentially expressed genes or proteins in these datasets.") (license license:gpl2))) (define-public r-plyranges (package (name "r-plyranges") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "plyranges" version)) (sha256 (base32 "1z4pc9slbd6ji3c6g9flxhvvf0anjmywrlnjblv1mpgsh88avp7w")))) (properties `((upstream-name . "plyranges"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-dplyr r-genomeinfodb r-genomicalignments r-genomicranges r-iranges r-magrittr r-rlang r-rsamtools r-rtracklayer r-s4vectors r-tidyselect)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/plyranges") (synopsis "Fluent interface for manipulating GenomicRanges") (description "This package provides a dplyr-like interface for interacting with the common Bioconductor classes @code{Ranges} and @code{GenomicRanges}. By providing a grammatical and consistent way of manipulating these classes their accessiblity for new Bioconductor users is hopefully increased.") (license license:artistic2.0))) (define-public r-inspect (package (name "r-inspect") (version "1.32.1") (source (origin (method url-fetch) (uri (bioconductor-uri "INSPEcT" version)) (sha256 (base32 "04znack6p50cmc2qyk4hf45m6v70p0bv7h3xs87j0x0h4mb920ch")))) (properties `((upstream-name . "INSPEcT"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-deseq2 r-desolve r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-iranges r-kernsmooth r-plgem r-proc r-readxl r-rootsolve r-rsamtools r-rtracklayer r-s4vectors r-shiny r-summarizedexperiment r-txdb-mmusculus-ucsc-mm9-knowngene)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/INSPEcT") (synopsis "Analysis of 4sU-seq and RNA-seq time-course data") (description "INSPEcT (INference of Synthesis, Processing and dEgradation rates in Time-Course experiments) analyses 4sU-seq and RNA-seq time-course data in order to evaluate synthesis, processing and degradation rates and assess via modeling the rates that determines changes in mature mRNA levels.") (license license:gpl2))) (define-public r-dnabarcodes (package (name "r-dnabarcodes") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DNABarcodes" version)) (sha256 (base32 "12x4k55kshvwyzl83zkgkp0ylryr8wd3kz44ngp60k4pkwhkl9h9")))) (properties `((upstream-name . "DNABarcodes"))) (build-system r-build-system) (propagated-inputs (list r-bh r-matrix r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DNABarcodes") (synopsis "Create and analyze DNA barcodes") (description "This package offers tools to create DNA barcode sets capable of correcting insertion, deletion, and substitution errors. Existing barcodes can be analyzed regarding their minimal, maximal and average distances between barcodes. Finally, reads that start with a (possibly mutated) barcode can be demultiplexed, i.e. assigned to their original reference barcode.") (license license:gpl2))) (define-public r-ruvseq (package (name "r-ruvseq") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RUVSeq" version)) (sha256 (base32 "04byggwsvmqrl77268smbas0wax460cdshmp4v5iqc5fghl7n0p2")))) (properties `((upstream-name . "RUVSeq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-edaseq r-edger r-mass)) (native-inputs (list r-knitr)) (home-page "https://github.com/drisso/RUVSeq") (synopsis "Remove unwanted variation from RNA-Seq data") (description "This package implements methods to @dfn{remove unwanted variation} (RUV) of Risso et al. (2014) for the normalization of RNA-Seq read counts between samples.") (license license:artistic2.0))) (define-public r-biocneighbors (package (name "r-biocneighbors") (version "1.20.2") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocNeighbors" version)) (sha256 (base32 "0lvsw920i75di5pwq7yvk8wcxp01wrh7863xmwbrmk5jrvl3y4h4")))) (properties `((upstream-name . "BiocNeighbors"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-matrix r-rcpp r-rcpphnsw r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocNeighbors") (synopsis "Nearest Neighbor Detection for Bioconductor packages") (description "This package implements exact and approximate methods for nearest neighbor detection, in a framework that allows them to be easily switched within Bioconductor packages or workflows. The exact algorithm is implemented using pre-clustering with the k-means algorithm. Functions are also provided to search for all neighbors within a given distance. Parallelization is achieved for all methods using the BiocParallel framework.") (license license:gpl3))) (define-public r-scaledmatrix (package (name "r-scaledmatrix") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ScaledMatrix" version)) (sha256 (base32 "1aigca0s8cmi46458pl9p9vwlkrmqawbgi0xmbwslz646x2s2h4a")))) (properties `((upstream-name . "ScaledMatrix"))) (build-system r-build-system) (propagated-inputs (list r-delayedarray r-matrix r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/LTLA/ScaledMatrix") (synopsis "Create a DelayedMatrix of scaled and centered values") (description "This package provides delayed computation of a matrix of scaled and centered values. The result is equivalent to using the @code{scale} function but avoids explicit realization of a dense matrix during block processing. This permits greater efficiency in common operations, most notably matrix multiplication.") (license license:gpl3))) (define-public r-treeio (package (name "r-treeio") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "treeio" version)) (sha256 (base32 "1kvzdryw74r74gwxddsrng81ww49p3s7hgxn8ggl0p8fvz3sfgir")))) (properties `((upstream-name . "treeio"))) (build-system r-build-system) (propagated-inputs (list r-ape r-dplyr r-jsonlite r-magrittr r-rlang r-tibble r-tidytree)) (native-inputs (list r-knitr)) (home-page "https://github.com/YuLab-SMU/treeio") (synopsis "Base classes and functions for Phylogenetic tree input and output") (description "This is an R package to make it easier to import and store phylogenetic trees with associated data; and to link external data from different sources to phylogeny. It also supports exporting phylogenetic trees with heterogeneous associated data to a single tree file and can be served as a platform for merging tree with associated data and converting file formats.") (license license:artistic2.0))) (define-public r-treesummarizedexperiment (package (name "r-treesummarizedexperiment") (version "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TreeSummarizedExperiment" version)) (sha256 (base32 "1yvqixlivapasx0ircfhmc8ckr7sw86d9vfvnqj97p4r667x6z6g")))) (properties `((upstream-name . "TreeSummarizedExperiment"))) (build-system r-build-system) (propagated-inputs (list r-ape r-biocgenerics r-biocparallel r-biostrings r-dplyr r-iranges r-rlang r-s4vectors r-singlecellexperiment r-summarizedexperiment r-treeio)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/TreeSummarizedExperiment") (synopsis "S4 class for data with tree structures") (description "@code{TreeSummarizedExperiment} extends @code{SingleCellExperiment} to include hierarchical information on the rows or columns of the rectangular data.") (license license:gpl2+))) (define-public r-ggtree (package (name "r-ggtree") (version "3.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ggtree" version)) (sha256 (base32 "12w2l1q0c5aznd5fls04wvgsmjidqhr1kkqj4gajz1abj9f49cqf")))) (properties `((upstream-name . "ggtree"))) (build-system r-build-system) (propagated-inputs (list r-ape r-aplot r-cli r-dplyr r-ggfun r-ggplot2 r-magrittr r-purrr r-rlang r-scales r-tidyr r-tidytree r-treeio r-yulab-utils)) (native-inputs (list r-knitr)) (home-page "https://yulab-smu.top/treedata-book/") (synopsis "R package for visualization of trees and annotation data") (description "This package extends the ggplot2 plotting system which implements a grammar of graphics. ggtree is designed for visualization and annotation of phylogenetic trees and other tree-like structures with their annotation data.") (license license:artistic2.0))) (define-public r-metapod (package (name "r-metapod") (version "1.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "metapod" version)) (sha256 (base32 "05cy3xvj78n2p9l2pxfys7aczr51gm2ywprn4qmzr7ppb6rq5f66")))) (properties `((upstream-name . "metapod"))) (build-system r-build-system) (propagated-inputs (list r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/metapod") (synopsis "Meta-analyses on p-values of differential analyses") (description "This package implements a variety of methods for combining p-values in differential analyses of genome-scale datasets. Functions can combine p-values across different tests in the same analysis (e.g., genomic windows in ChIP-seq, exons in RNA-seq) or for corresponding tests across separate analyses (e.g., replicated comparisons, effect of different treatment conditions). Support is provided for handling log-transformed input p-values, missing values and weighting where appropriate.") (license license:gpl3))) (define-public r-biocsingular (package (name "r-biocsingular") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocSingular" version)) (sha256 (base32 "0z1p02329wk2x058ij42q5pyvp0vhsihaxmizgzcj4sww6i28j33")))) (properties `((upstream-name . "BiocSingular"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-biocgenerics r-biocparallel r-delayedarray r-irlba r-matrix r-rcpp r-rsvd r-s4vectors r-scaledmatrix)) (native-inputs (list r-knitr)) (home-page "https://github.com/LTLA/BiocSingular") (synopsis "Singular value decomposition for Bioconductor packages") (description "This package implements exact and approximate methods for singular value decomposition and principal components analysis, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Where possible, parallelization is achieved using the BiocParallel framework.") (license license:gpl3))) (define-public r-destiny (package (name "r-destiny") (version "3.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "destiny" version)) (sha256 (base32 "06xwyqlsas98lxmd0qw5ysjwbk397kyapd5jq5pzjrynsj4r9xn6")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-ggplot-multistats r-ggplot2 r-ggthemes r-irlba r-knn-covertree r-matrix r-pcamethods r-proxy r-rcpp r-rcppeigen r-rcpphnsw r-rspectra r-scales r-scatterplot3d r-singlecellexperiment r-smoother r-summarizedexperiment r-tidyr r-tidyselect r-vim)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/destiny/") (synopsis "Create and plot diffusion maps") (description "This package provides tools to create and plot diffusion maps.") ;; Any version of the GPL (license license:gpl3+))) (define-public r-savr (package (name "r-savr") (version "1.37.0") (source (origin (method url-fetch) (uri (bioconductor-uri "savR" version)) (sha256 (base32 "13wiw7isdmpwhynxjrhimy9yglcz1108k7nwa98vq9czq49zpada")))) (properties `((upstream-name . "savR"))) (build-system r-build-system) (propagated-inputs (list r-ggplot2 r-gridextra r-reshape2 r-scales r-xml)) (home-page "https://github.com/bcalder/savR") (synopsis "Parse and analyze Illumina SAV files") (description "This package provides tools to parse Illumina Sequence Analysis Viewer (SAV) files, access data, and generate QC plots.") (license license:agpl3+))) (define-public r-chipexoqual (package (name "r-chipexoqual") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChIPexoQual" version)) (sha256 (base32 "04dhkm8cq87x3c9f114z6q1pcw77xgs33rmhgzk4ajzxywhklq4j")))) (properties `((upstream-name . "ChIPexoQual"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-biovizbase r-broom r-data-table r-dplyr r-genomeinfodb r-genomicalignments r-genomicranges r-ggplot2 r-hexbin r-iranges r-rcolorbrewer r-rmarkdown r-rsamtools r-s4vectors r-scales r-viridis)) (native-inputs (list r-knitr)) (home-page "https://github.com/keleslab/ChIPexoQual") (synopsis "Quality control pipeline for ChIP-exo/nexus data") (description "This package provides a quality control pipeline for ChIP-exo/nexus sequencing data.") (license license:gpl2+))) (define-public r-copynumber (package (name "r-copynumber") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "copynumber" version)) (sha256 (base32 "1a664bllaq9pbb5cpd01j919qirylvnm8qd49lwlz89jvqjdri19")))) (build-system r-build-system) (propagated-inputs (list r-s4vectors r-iranges r-genomicranges r-biocgenerics)) (home-page "https://bioconductor.org/packages/copynumber") (synopsis "Segmentation of single- and multi-track copy number data") (description "This package segments single- and multi-track copy number data by a penalized least squares regression method.") (license license:artistic2.0))) (define-public r-dnacopy (package (name "r-dnacopy") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DNAcopy" version)) (sha256 (base32 "0hyjin75v8l2a8qymsd6rjb8m7svv2q07s6z1dllqag09wja1yfz")))) (properties `((upstream-name . "DNAcopy"))) (build-system r-build-system) (native-inputs (list gfortran)) (home-page "https://bioconductor.org/packages/DNAcopy") (synopsis "DNA copy number data analysis") (description "This package implements the @dfn{circular binary segmentation} (CBS) algorithm to segment DNA copy number data and identify genomic regions with abnormal copy number.") (license license:gpl2+))) ;; This is a CRAN package, but it uncharacteristically depends on a ;; Bioconductor package. (define-public r-htscluster (package (name "r-htscluster") (version "2.0.11") (source (origin (method url-fetch) (uri (cran-uri "HTSCluster" version)) (sha256 (base32 "0x9shhyla9bldkkh367gfdmf0k72l1ppixb8gzsa6nf8jx8qdpbp")))) (properties `((upstream-name . "HTSCluster"))) (build-system r-build-system) (propagated-inputs (list r-capushe r-edger r-plotrix)) (home-page "https://cran.r-project.org/web/packages/HTSCluster") (synopsis "Clustering high-throughput transcriptome sequencing (HTS) data") (description "This package provides a Poisson mixture model is implemented to cluster genes from high-throughput transcriptome sequencing (RNA-seq) data. Parameter estimation is performed using either the EM or CEM algorithm, and the slope heuristics are used for model selection (i.e., to choose the number of clusters).") (license license:gpl3+))) (define-public r-deds (package (name "r-deds") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DEDS" version)) (sha256 (base32 "0vzsmah2lhxf8k6n4d0i4j609sbvygmb6ii2ridg9z3nskwkrhp8")))) (properties `((upstream-name . "DEDS"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/DEDS/") (synopsis "Differential expression via distance summary for microarray data") (description "This library contains functions that calculate various statistics of differential expression for microarray data, including t statistics, fold change, F statistics, SAM, moderated t and F statistics and B statistics. It also implements a new methodology called DEDS (Differential Expression via Distance Summary), which selects differentially expressed genes by integrating and summarizing a set of statistics using a weighted distance approach.") ;; Any version of the LGPL. (license license:lgpl3+))) ;; This is a CRAN package, but since it depends on a Bioconductor package we ;; put it here. (define-public r-nbpseq (package (name "r-nbpseq") (version "0.3.1") (source (origin (method url-fetch) (uri (cran-uri "NBPSeq" version)) (sha256 (base32 "07mnnk4n0cyksp1mw36y6369is62kxsfg3wb8d3dwswycdmj8m14")))) (properties `((upstream-name . "NBPSeq"))) (build-system r-build-system) (propagated-inputs (list r-qvalue)) (home-page "https://cran.r-project.org/web/packages/NBPSeq") (synopsis "Negative binomial models for RNA-Seq data") (description "This package provides negative binomial models for two-group comparisons and regression inferences from RNA-sequencing data.") (license license:gpl2))) (define-public r-ebseq (package (name "r-ebseq") (version "2.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EBSeq" version)) (sha256 (base32 "07x9fh8akgiixsv1xddkvs2q8xxfsibas01kdx0kw6wak3nihn4w")))) (properties `((upstream-name . "EBSeq"))) (build-system r-build-system) (propagated-inputs (list r-bh r-blockmodeling r-gplots r-rcpp r-rcppeigen r-testthat)) (home-page "https://bioconductor.org/packages/EBSeq") (synopsis "Differential expression analysis of RNA-seq data") (description "This package provides tools for differential expression analysis at both gene and isoform level using RNA-seq data") (license license:artistic2.0))) (define-public r-karyoploter (package (name "r-karyoploter") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "karyoploteR" version)) (sha256 (base32 "0jr9lp250s9066hh40vxb6c6yhdd8yrnk0zklwylkf3jpbdgl621")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-bamsignals r-bezier r-biovizbase r-digest r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-memoise r-regioner r-rsamtools r-rtracklayer r-s4vectors r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/karyoploteR/") (synopsis "Plot customizable linear genomes displaying arbitrary data") (description "This package creates karyotype plots of arbitrary genomes and offers a complete set of functions to plot arbitrary data on them. It mimics many R base graphics functions coupling them with a coordinate change function automatically mapping the chromosome and data coordinates into the plot coordinates.") (license license:artistic2.0))) (define-public r-lpsymphony (package (name "r-lpsymphony") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "lpsymphony" version)) (sha256 (base32 "1946wlw9zvyxdd99rs2rliks54ff5dkibavxd48aj7cqjsjh6b7g")))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'make-build-order-reproducible (lambda _ (substitute* '("src/SYMPHONY/Cgl/configure.ac" "src/SYMPHONY/Cgl/configure") (("for file in `ls \\*/Makefile.in`") "for file in `ls */Makefile.in | sort`"))))))) (inputs (list zlib)) (native-inputs (list pkg-config r-knitr)) (home-page "https://r-forge.r-project.org/projects/rsymphony") (synopsis "Symphony integer linear programming solver in R") (description "This package was derived from Rsymphony. The package provides an R interface to SYMPHONY, a linear programming solver written in C++. The main difference between this package and Rsymphony is that it includes the solver source code, while Rsymphony expects to find header and library files on the users' system. Thus the intention of @code{lpsymphony} is to provide an easy to install interface to SYMPHONY.") ;; Symphony 5.4 or later is distributed under the terms of the EPL 1.0. ;; lpsimphony is released under the same terms. (license license:epl1.0))) (define-public r-ihw (package (name "r-ihw") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IHW" version)) (sha256 (base32 "1pix38lg9snw0jdihh8sifnmckyw1lniwp95r93ca524g6swfc8b")))) (properties `((upstream-name . "IHW"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-fdrtool r-lpsymphony r-slam)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/IHW") (synopsis "Independent hypothesis weighting") (description "@dfn{Independent hypothesis weighting} (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.") (license license:artistic2.0))) (define-public r-icobra (package (name "r-icobra") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "iCOBRA" version)) (sha256 (base32 "1f0j10wha60vv592vsnv2pcqwz7g2fkld8pnar9rpwwb7qd0wcnf")))) (properties `((upstream-name . "iCOBRA"))) (build-system r-build-system) (propagated-inputs (list r-dplyr r-dt r-ggplot2 r-limma r-markdown r-reshape2 r-rocr r-scales r-shiny r-shinybs r-shinydashboard r-upsetr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/iCOBRA") (synopsis "Comparison and visualization of ranking and assignment methods") (description "This package provides functions for calculation and visualization of performance metrics for evaluation of ranking and binary classification (assignment) methods. It also contains a Shiny application for interactive exploration of results.") (license license:gpl2+))) (define-public r-residualmatrix (package (name "r-residualmatrix") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ResidualMatrix" version)) (sha256 (base32 "06py71xbygfwq55kawh2x340idrf5mmxmnsz5m6lph2ka086dc5v")))) (properties `((upstream-name . "ResidualMatrix"))) (build-system r-build-system) (propagated-inputs (list r-delayedarray r-matrix r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/LTLA/ResidualMatrix") (synopsis "Create a DelayedMatrix of regression residuals") (description "This package implements tools for delayed computation of a matrix of residuals after fitting a linear model to each column of an input matrix. It also supports partial computation of residuals where selected factors are to be preserved in the output matrix. It implements a number of efficient methods for operating on the delayed matrix of residuals, most notably matrix multiplication and calculation of row/column sums or means.") (license license:gpl3))) (define-public r-batchelor (package (name "r-batchelor") (version "1.18.1") (source (origin (method url-fetch) (uri (bioconductor-uri "batchelor" version)) (sha256 (base32 "1z4ddkdd3mzqg0c6l94qmrdwrm7427k5xiwzgkzx43gh1j4911d5")))) (properties `((upstream-name . "batchelor"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-biocgenerics r-biocneighbors r-biocparallel r-biocsingular r-delayedarray r-delayedmatrixstats r-igraph r-matrix r-rcpp r-residualmatrix r-s4vectors r-scaledmatrix r-scuttle r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/batchelor") (synopsis "Single-Cell Batch Correction Methods") (description "This package implements a variety of methods for batch correction of single-cell (RNA sequencing) data. This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression values. Functions are also provided to perform global rescaling to remove differences in depth between batches, and to perform a principal components analysis that is robust to differences in the numbers of cells across batches.") (license license:gpl3))) (define-public r-mast (package (name "r-mast") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MAST" version)) (sha256 (base32 "17iycxxp6jb56ra21546kh2zlrm8by2vrlvsxvx8xmbpk32fb4lp")) (snippet '(delete-file "docs/jquery.sticky-kit.min.js")))) (properties `((upstream-name . "MAST"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (invoke "esbuild" (assoc-ref inputs "js-jquery-sticky-kit") "--minify" "--outfile=docs/jquery.sticky-kit.min.js")))))) (propagated-inputs (list r-abind r-biobase r-biocgenerics r-data-table r-ggplot2 r-matrix r-plyr r-progress r-reshape2 r-s4vectors r-singlecellexperiment r-stringr r-summarizedexperiment)) (native-inputs `(("esbuild" ,esbuild) ("js-jquery-sticky-kit" ,(origin (method url-fetch) (uri "https://cdn.jsdelivr.net/gh/leafo/sticky-kit@v1.1.2/jquery.sticky-kit.js") (sha256 (base32 "17c3a1hqc3ybwj7hpw8prazajp2x98aq7nyfn71h6lzjvblq297g")))) ("r-knitr" ,r-knitr))) (home-page "https://github.com/RGLab/MAST/") (synopsis "Model-based analysis of single cell transcriptomics") (description "This package provides methods and models for handling zero-inflated single cell assay data.") (license license:gpl2+))) (define-public r-monocle (package (name "r-monocle") (version "2.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "monocle" version)) (sha256 (base32 "0i1qnmiaf3gf8955nlqzd81xzg4siliq154k699jmsz0fyyykia1")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocviews r-cluster r-combinat r-ddrtree r-dplyr r-fastica r-ggplot2 r-hsmmsinglecell r-igraph r-irlba r-leidenbase r-limma r-mass r-matrix r-matrixstats r-pheatmap r-plyr r-proxy r-qlcmatrix r-rann r-rcpp r-reshape2 r-rtsne r-slam r-stringr r-tibble r-vgam r-viridis)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/monocle") (synopsis "Clustering, differential expression, and trajectory analysis for single-cell RNA-Seq") (description "Monocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle also performs differential expression analysis, clustering, visualization, and other useful tasks on single cell expression data. It is designed to work with RNA-Seq and qPCR data, but could be used with other types as well.") (license license:artistic2.0))) (define-public r-leidenbase (let ((commit "a11b8455fa3307d9e3ac4e3a5accddf3c83b9a96") (revision "1")) (package (name "r-leidenbase") (version (git-version "0.1.9" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/cole-trapnell-lab/leidenbase") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "1f54mycsffvzmblz5pzgs3v4jygnbvz0c9d3x710gw5mxkq2p84f")))) (properties `((upstream-name . "leidenbase"))) (build-system r-build-system) (inputs (list zlib)) (native-inputs (list gfortran)) (propagated-inputs (list r-igraph)) (home-page "https://github.com/cole-trapnell-lab/leidenbase") (synopsis "R and C wrappers to run the Leiden find_partition function") (description "This package provides an R to C interface that runs the Leiden community detection algorithm to find a basic partition. It runs the equivalent of the @code{find_partition} function. This package includes the required source code files from the official Leidenalg distribution and several functions from the R igraph package.") (license license:gpl3+)))) (define-public r-sangerseqr (package (name "r-sangerseqr") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "sangerseqR" version)) (sha256 (base32 "1vggjvxfmmm2gcyfay22wahkib15i164ic148jdps36pxapl6hi3")))) (properties `((upstream-name . "sangerseqR"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-shiny r-stringr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/sangerseqR") (synopsis "Tools for Sanger Sequencing data in R") (description "This package contains several tools for analyzing Sanger Sequencing data files in R, including reading @file{.scf} and @file{.ab1} files, making basecalls and plotting chromatograms.") (license license:gpl2))) (define-public r-sanssouci ;; sansscouci doesn't have a (versioned) release yet. ;; This is the latest commit as of packaging for Guix. (let ((commit "5fe20a9aaf4ac637fa83d9cc73ff1c22de97ca6f") (revision "1")) (package (name "r-sanssouci") (version (git-version "0" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/pneuvial/sanssouci.git") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "13ycdd790qw64qy2zdvcrpj3fc8as628rsly32438d3rifnlc5sk")))) (build-system r-build-system) (propagated-inputs (list r-generics r-matrix r-matrixstats r-rcpp r-rcpparmadillo)) (home-page "https://pneuvial.github.io/sanssouci") (synopsis "Post Hoc multiple testing inference") (description "The goal of sansSouci is to perform post hoc inference: in a multiple testing context, sansSouci provides statistical guarantees on possibly user-defined and/or data-driven sets of hypotheses.") (license license:gpl3)))) (define-public r-monocle3 (package (name "r-monocle3") (version "1.0.0") (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/cole-trapnell-lab/monocle3") (commit version))) (file-name (git-file-name name version)) (sha256 (base32 "16vpvlbms8fdvpfwzcig0rkg2mxnsq1h80d2l7q3953wm91qc9x4")))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-batchelor r-biobase r-biocgenerics r-delayedmatrixstats r-dplyr r-ggplot2 r-ggrepel r-grr r-htmlwidgets r-igraph r-irlba r-leidenbase r-limma r-lmtest r-mass r-matrix r-matrix-utils r-pbapply r-pbmcapply r-pheatmap r-plotly r-pryr r-proxy r-pscl r-purrr r-rann r-rcpp r-rcppparallel r-reshape2 r-reticulate r-rhpcblasctl r-rsample r-rtsne r-shiny r-slam r-spdep r-speedglm r-stringr r-singlecellexperiment r-tibble r-tidyr r-uwot r-viridis)) (home-page "https://github.com/cole-trapnell-lab/monocle3") (synopsis "Analysis toolkit for single-cell RNA-Seq data") (description "Monocle 3 is an analysis toolkit for single-cell RNA-Seq experiments.") (license license:expat))) (define-public r-noiseq (package (name "r-noiseq") (version "2.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "NOISeq" version)) (sha256 (base32 "0qs0sc47n3p9wmf5cmc39cb30i8pbsyizhr29b3ld197pi1ba5wb")))) (properties `((upstream-name . "NOISeq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-matrix)) (home-page "https://bioconductor.org/packages/NOISeq") (synopsis "Exploratory analysis and differential expression for RNA-seq data") (description "This package provides tools to support the analysis of RNA-seq expression data or other similar kind of data. It provides exploratory plots to evaluate saturation, count distribution, expression per chromosome, type of detected features, features length, etc. It also supports the analysis of differential expression between two experimental conditions with no parametric assumptions.") (license license:artistic2.0))) (define-public r-scdd (package (name "r-scdd") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scDD" version)) (sha256 (base32 "15hzsq8ckw8v8ccz30kia9qr1iymmcszc9z31g5arrx1y816zgbq")))) (properties `((upstream-name . "scDD"))) (build-system r-build-system) (propagated-inputs (list r-arm r-biocparallel r-ebseq r-fields r-ggplot2 r-mclust r-outliers r-s4vectors r-scran r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/kdkorthauer/scDD") (synopsis "Mixture modeling of single-cell RNA-seq data") (description "This package implements a method to analyze single-cell RNA-seq data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.") (license license:gpl2))) (define-public r-scone (package (name "r-scone") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scone" version)) (sha256 (base32 "1y0blhh75hb60h9jmvz2naqfzky4zgw5gn81fbj74jfph9y712lp")))) (build-system r-build-system) (propagated-inputs (list r-aroma-light r-biocparallel r-boot r-class r-cluster r-compositions r-diptest r-edger r-fpc r-gplots r-hexbin r-limma r-matrixgenerics r-matrixstats r-mixtools r-rarpack r-rcolorbrewer r-rhdf5 r-ruvseq r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/scone") (synopsis "Single cell overview of normalized expression data") (description "SCONE is an R package for comparing and ranking the performance of different normalization schemes for single-cell RNA-seq and other high-throughput analyses.") (license license:artistic2.0))) (define-public r-geoquery (package (name "r-geoquery") (version "2.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GEOquery" version)) (sha256 (base32 "1xjfh9lx2cfwzkk61pdarajsa86nzhy3dz7r4zws20pz4xkhwv87")))) (properties `((upstream-name . "GEOquery"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-curl r-data-table r-dplyr r-limma r-magrittr r-r-utils r-readr r-tidyr r-xml2)) (native-inputs (list r-knitr)) (home-page "https://github.com/seandavi/GEOquery/") (synopsis "Get data from NCBI Gene Expression Omnibus (GEO)") (description "The NCBI Gene Expression Omnibus (GEO) is a public repository of microarray data. Given the rich and varied nature of this resource, it is only natural to want to apply BioConductor tools to these data. GEOquery is the bridge between GEO and BioConductor.") (license license:gpl2))) (define-public r-illuminaio (package (name "r-illuminaio") (version "0.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "illuminaio" version)) (sha256 (base32 "15i47b995dqh0dlg60lss5vgj31as3cwhb2z5fqbnknx3lj7s6rl")))) (build-system r-build-system) (propagated-inputs (list r-base64)) (home-page "https://github.com/HenrikBengtsson/illuminaio/") (synopsis "Parse Illumina microarray output files") (description "This package provides tools for parsing Illumina's microarray output files, including IDAT.") (license license:gpl2))) (define-public r-siggenes (package (name "r-siggenes") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "siggenes" version)) (sha256 (base32 "0jzxwg28ih1i0f7hal99g60zply0g613b4wrjsbv738cmlsai2kc")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-multtest r-scrime)) (home-page "https://bioconductor.org/packages/siggenes/") (synopsis "Multiple testing using SAM and Efron's empirical Bayes approaches") (description "This package provides tools for the identification of differentially expressed genes and estimation of the @dfn{False Discovery Rate} (FDR) using both the Significance Analysis of Microarrays (SAM) and the @dfn{Empirical Bayes Analyses of Microarrays} (EBAM).") (license license:lgpl2.0+))) (define-public r-bumphunter (package (name "r-bumphunter") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bumphunter" version)) (sha256 (base32 "0vnm0m9abf8478f7lair58vw1v4mxj8sbmrxcpf8622ygf2na4qc")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-dorng r-foreach r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-iterators r-limma r-locfit r-matrixstats r-s4vectors)) (home-page "https://github.com/ririzarr/bumphunter") (synopsis "Find bumps in genomic data") (description "This package provides tools for finding bumps in genomic data in order to identify differentially methylated regions in epigenetic epidemiology studies.") (license license:artistic2.0))) (define-public r-bumpymatrix (package (name "r-bumpymatrix") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BumpyMatrix" version)) (sha256 (base32 "0ic87fjxwb39nmys09zb6k3ghcx8mmmj9pifljs10449i2lgzl2r")))) (properties `((upstream-name . "BumpyMatrix"))) (build-system r-build-system) (propagated-inputs (list r-iranges r-matrix r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BumpyMatrix") (synopsis "Bumpy matrix of non-scalar objects") (description "This package provides a class and subclasses for storing non-scalar objects in matrix entries. This is akin to a ragged array but the raggedness is in the third dimension, much like a bumpy surface--hence the name. Of particular interest is the @code{BumpyDataFrameMatrix}, where each entry is a Bioconductor data frame. This allows us to naturally represent multivariate data in a format that is compatible with two-dimensional containers like the @code{SummarizedExperiment} and @code{MultiAssayExperiment} objects.") (license license:expat))) (define-public r-mia (package (name "r-mia") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mia" version)) (sha256 (base32 "044spfxsf7xijnbh0933cwdkycmg05zsfqhbx5pkfajysh6w5cxp")))) (properties `((upstream-name . "mia"))) (build-system r-build-system) (propagated-inputs (list r-ape r-biocgenerics r-biocparallel r-biostrings r-bluster r-decipher r-decontam r-delayedarray r-delayedmatrixstats r-dirichletmultinomial r-dplyr r-iranges r-mass r-matrixgenerics r-multiassayexperiment r-rlang r-s4vectors r-scater r-scuttle r-singlecellexperiment r-summarizedexperiment r-tibble r-tidyr r-treesummarizedexperiment r-vegan)) (native-inputs (list r-knitr)) (home-page "https://github.com/microbiome/mia") (synopsis "Microbiome analysis") (description "The mia package implements tools for microbiome analysis based on the @code{SummarizedExperiment}, @code{SingleCellExperiment} and @code{TreeSummarizedExperiment} infrastructure. Data wrangling and analysis in the context of taxonomic data is the main scope. Additional functions for common task are implemented such as community indices calculation and summarization.") (license license:artistic2.0))) (define-public r-microbiome (package (name "r-microbiome") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "microbiome" version)) (sha256 (base32 "0xmkwf7v89nwlpjrzqxv87lbsn6za99v7f0yxkgzfk5n6fadrf05")))) (properties `((upstream-name . "microbiome"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-compositions r-dplyr r-ggplot2 r-phyloseq r-reshape2 r-rtsne r-scales r-tibble r-tidyr r-vegan)) (native-inputs (list r-knitr)) (home-page "https://microbiome.github.io/microbiome/") (synopsis "Tools for microbiome analysis") (description "This package facilitates phyloseq exploration and analysis of taxonomic profiling data. This package provides tools for the manipulation, statistical analysis, and visualization of taxonomic profiling data. In addition to targeted case-control studies, microbiome facilitates scalable exploration of population cohorts. This package supports the independent phyloseq data format and expands the available toolkit in order to facilitate the standardization of the analyses and the development of best practices.") (license license:bsd-2))) ;; This is a CRAN package but it depends on phyloseq, which is from ;; Bioconductor. (define-public r-microbiomestat (package (name "r-microbiomestat") (version "1.1") (source (origin (method url-fetch) (uri (cran-uri "MicrobiomeStat" version)) (sha256 (base32 "1j5sar85a1gksc83pc4ypxwb0c7whxglx069zarphrgqfazcr1m4")))) (properties `((upstream-name . "MicrobiomeStat"))) (build-system r-build-system) (propagated-inputs (list r-foreach r-ggplot2 r-ggrepel r-lmertest r-mass r-matrix r-matrixstats r-modeest r-phyloseq r-statmod)) (home-page "https://cran.r-project.org/package=MicrobiomeStat") (synopsis "Statistical methods for microbiome compositional data") (description "This package provides a suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects. The methods can be applied to the analysis of other (high-dimensional) compositional data arising from sequencing experiments.") (license license:gpl3))) (define-public r-milor (package (name "r-milor") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "miloR" version)) (sha256 (base32 "1hnvw9x0xwjb0br4yvzkzn73nvm8p3j3wmcw8jrid105j0fz6vcj")))) (properties `((upstream-name . "miloR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocneighbors r-biocparallel r-biocsingular r-cowplot r-dplyr r-edger r-ggbeeswarm r-ggplot2 r-ggraph r-ggrepel r-gtools r-igraph r-irlba r-limma r-matrix r-matrixstats r-patchwork r-rcolorbrewer r-s4vectors r-singlecellexperiment r-stringr r-summarizedexperiment r-tibble r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://marionilab.github.io/miloR") (synopsis "Differential neighbourhood abundance testing on a graph") (description "Milo performs single-cell differential abundance testing. Cell states are modelled as representative neighbourhoods on a nearest neighbour graph. Hypothesis testing is performed using a negative bionomial generalized linear model.") (license license:gpl3))) (define-public r-minfi (package (name "r-minfi") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "minfi" version)) (sha256 (base32 "13lldzj68vmmmrp5fi2rfxbchbivaa1scq56hl0v9mxxicw72a0x")))) (build-system r-build-system) (propagated-inputs (list r-beanplot r-biobase r-biocgenerics r-biocparallel r-biostrings r-bumphunter r-data-table r-delayedarray r-delayedmatrixstats r-genefilter r-genomeinfodb r-genomicranges r-geoquery r-hdf5array r-illuminaio r-iranges r-lattice r-limma r-mass r-mclust r-nlme r-nor1mix r-preprocesscore r-quadprog r-rcolorbrewer r-reshape r-s4vectors r-siggenes r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/hansenlab/minfi") (synopsis "Analyze Illumina Infinium DNA methylation arrays") (description "This package provides tools to analyze and visualize Illumina Infinium methylation arrays.") (license license:artistic2.0))) (define-public r-missmethyl (package (name "r-missmethyl") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "missMethyl" version)) (sha256 (base32 "1nv4rm5pbx0s7m5zak3jzmwz4pkf8ghkj0ckdcsnmw3k364ny856")))) (properties `((upstream-name . "missMethyl"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biasedurn r-biobase r-biocgenerics r-genomicranges r-go-db r-illuminahumanmethylation450kanno-ilmn12-hg19 r-illuminahumanmethylation450kmanifest r-illuminahumanmethylationepicanno-ilm10b4-hg19 r-illuminahumanmethylationepicmanifest r-iranges r-limma r-methylumi r-minfi r-org-hs-eg-db r-ruv r-s4vectors r-statmod r-stringr r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/missMethyl") (synopsis "Analyzing Illumina HumanMethylation BeadChip data") (description "This is a package for normalization, testing for differential variability and differential methylation and gene set testing for data from Illumina's Infinium HumanMethylation arrays. The normalization procedure is subset-quantile within-array normalization (SWAN), which allows Infinium I and II type probes on a single array to be normalized together. The test for differential variability is based on an empirical Bayes version of Levene's test. Differential methylation testing is performed using RUV, which can adjust for systematic errors of unknown origin in high-dimensional data by using negative control probes. Gene ontology analysis is performed by taking into account the number of probes per gene on the array, as well as taking into account multi-gene associated probes.") (license license:gpl2))) (define-public r-methylumi (package (name "r-methylumi") (version "2.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "methylumi" version)) (sha256 (base32 "1vracrvy56kk3hc9midxdaxhad2zf1lspn0zzxjjbsyzx3r0ip0n")))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-biocgenerics r-fdb-infiniummethylation-hg19 r-genefilter r-genomeinfodb r-genomicfeatures r-genomicranges r-ggplot2 r-illuminaio r-iranges r-lattice r-matrixstats r-minfi r-reshape2 r-s4vectors r-scales r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/methylumi") (synopsis "Handle Illumina methylation data") (description "This package provides classes for holding and manipulating Illumina methylation data. Based on eSet, it can contain MIAME information, sample information, feature information, and multiple matrices of data. An \"intelligent\" import function, methylumiR can read the Illumina text files and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files from HumanMethylation27 and HumanMethylation450 microarrays. Normalization, background correction, and quality control features for GoldenGate, Infinium, and Infinium HD arrays are also included.") (license license:gpl2))) (define-public r-lefser (package (name "r-lefser") (version "1.12.1") (source (origin (method url-fetch) (uri (bioconductor-uri "lefser" version)) (sha256 (base32 "0aywwinp4wwwa12rq60gpfk5gn28zyimayxakgj4lhfwjk0byz8m")))) (properties `((upstream-name . "lefser"))) (build-system r-build-system) (propagated-inputs (list r-coin r-ggplot2 r-mass r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/waldronlab/lefser") (synopsis "LEfSE method for microbiome biomarker discovery") (description "Lefser is an implementation in R of the popular \"LDA Effect Size\" (LEfSe) method for microbiome biomarker discovery. It uses the Kruskal-Wallis test, Wilcoxon-Rank Sum test, and Linear Discriminant Analysis to find biomarkers of groups and sub-groups.") (license license:artistic2.0))) (define-public r-lumi (package (name "r-lumi") (version "2.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "lumi" version)) (sha256 (base32 "0iwkag84w1sc703jcdfx0h799hlchdiqvlps8g8lwmil5b0xlsw5")))) (build-system r-build-system) (propagated-inputs (list r-affy r-annotate r-annotationdbi r-biobase r-dbi r-genomicfeatures r-genomicranges r-kernsmooth r-lattice r-mass r-methylumi r-mgcv r-nleqslv r-preprocesscore r-rsqlite)) (home-page "https://bioconductor.org/packages/lumi") (synopsis "BeadArray-specific methods for Illumina methylation and expression microarrays") (description "The lumi package provides an integrated solution for the Illumina microarray data analysis. It includes functions of Illumina BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific variance stabilization, normalization and gene annotation at the probe level. It also includes the functions of processing Illumina methylation microarrays, especially Illumina Infinium methylation microarrays.") (license license:lgpl2.0+))) (define-public r-linnorm (package (name "r-linnorm") (version "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Linnorm" version)) (sha256 (base32 "1ax5zmby8zw0mgxjd8yhlk4ai0s03zq59qwzqgv8zqlms8yjpvs2")))) (properties `((upstream-name . "Linnorm"))) (build-system r-build-system) (propagated-inputs (list r-amap r-apcluster r-ellipse r-fastcluster r-fpc r-ggdendro r-ggplot2 r-gmodels r-igraph r-limma r-mass r-mclust r-rcpp r-rcpparmadillo r-rtsne r-statmod r-vegan r-zoo)) (native-inputs (list r-knitr)) (home-page "http://www.jjwanglab.org/Linnorm/") (synopsis "Linear model and normality based transformation method") (description "Linnorm is an R package for the analysis of RNA-seq, scRNA-seq, ChIP-seq count data or any large scale count data. It transforms such datasets for parametric tests. In addition to the transformtion function (@code{Linnorm}), the following pipelines are implemented: @enumerate @item Library size/batch effect normalization (@code{Linnorm.Norm}) @item Cell subpopluation analysis and visualization using t-SNE or PCA K-means clustering or hierarchical clustering (@code{Linnorm.tSNE}, @code{Linnorm.PCA}, @code{Linnorm.HClust}) @item Differential expression analysis or differential peak detection using limma (@code{Linnorm.limma}) @item Highly variable gene discovery and visualization (@code{Linnorm.HVar}) @item Gene correlation network analysis and visualization (@code{Linnorm.Cor}) @item Stable gene selection for scRNA-seq data; for users without or who do not want to rely on spike-in genes (@code{Linnorm.SGenes}) @item Data imputation (@code{Linnorm.DataImput}). @end enumerate Linnorm can work with raw count, CPM, RPKM, FPKM and TPM. Additionally, the @code{RnaXSim} function is included for simulating RNA-seq data for the evaluation of DEG analysis methods.") (license license:expat))) (define-public r-ioniser (package (name "r-ioniser") (version "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IONiseR" version)) (sha256 (base32 "1y595hq40kpsasp74wsbf3ngd2rrriqg65z9y4svcwdygj03pgrz")))) (properties `((upstream-name . "IONiseR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-biostrings r-bit64 r-dplyr r-ggplot2 r-magrittr r-rhdf5 r-shortread r-stringr r-tibble r-tidyr r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/IONiseR/") (synopsis "Quality assessment tools for Oxford Nanopore MinION data") (description "IONiseR provides tools for the quality assessment of Oxford Nanopore MinION data. It extracts summary statistics from a set of fast5 files and can be used either before or after base calling. In addition to standard summaries of the read-types produced, it provides a number of plots for visualising metrics relative to experiment run time or spatially over the surface of a flowcell.") (license license:expat))) ;; This is a CRAN package, but it depends on multtest from Bioconductor. (define-public r-mutoss (package (name "r-mutoss") (version "0.1-13") (source (origin (method url-fetch) (uri (cran-uri "mutoss" version)) (sha256 (base32 "0hgi9wpy3ai23dk6cdba6r118vvmgw210racsg3n1p24rv6ny3xn")))) (properties `((upstream-name . "mutoss"))) (build-system r-build-system) (propagated-inputs (list r-multcomp r-multtest r-mvtnorm r-plotrix)) (home-page "https://github.com/kornl/mutoss/") (synopsis "Unified multiple testing procedures") (description "This package is designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying mutossGUI package.") ;; Any version of the GPL. (license (list license:gpl2+ license:gpl3+)))) ;; This is a CRAN package, but it depends on mutoss, which depends on multtest ;; from Bioconductor, so we put it here. (define-public r-metap (package (name "r-metap") (version "1.9") (source (origin (method url-fetch) (uri (cran-uri "metap" version)) (sha256 (base32 "1w4mv7vb94d4pkllvabz9az8sbrbfhigxw4is3j0jzi1pnlyc8kg")))) (build-system r-build-system) (propagated-inputs (list r-lattice r-mathjaxr r-mutoss r-qqconf r-rdpack r-tfisher)) (home-page "http://www.dewey.myzen.co.uk/meta/meta.html") (synopsis "Meta-analysis of significance values") (description "The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and a routine for graphical display.") (license license:gpl2))) (define-public r-tradeseq (package (name "r-tradeseq") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tradeSeq" version)) (sha256 (base32 "06k0jib20nq7zqc5vbgag8v1lbadjlg0idh5jwn5bcjc74dx15vj")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocparallel r-edger r-ggplot2 r-igraph r-magrittr r-mass r-matrix r-matrixstats r-mgcv r-pbapply r-princurve r-rcolorbrewer r-s4vectors r-singlecellexperiment r-slingshot r-summarizedexperiment r-tibble r-trajectoryutils r-viridis)) (native-inputs (list r-knitr)) (home-page "https://statomics.github.io/tradeSeq/index.html") (synopsis "Trajectory-based differential expression analysis") (description "This package provides a flexible method for fitting regression models that can be used to find genes that are differentially expressed along one or multiple lineages in a trajectory. Based on the fitted models, it uses a variety of tests suited to answer different questions of interest, e.g. the discovery of genes for which expression is associated with pseudotime, or which are differentially expressed (in a specific region) along the trajectory. It fits a negative binomial generalized additive model (GAM) for each gene, and performs inference on the parameters of the GAM.") (license license:expat))) (define-public r-triform (package (name "r-triform") (version "1.29.0") (source (origin (method url-fetch) (uri (bioconductor-uri "triform" version)) (sha256 (base32 "089b7f6dwpi9abj0ncswbi4s30k45996zb99sh43avw6jcb6qj60")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-iranges r-yaml)) (home-page "https://bioconductor.org/packages/triform/") (synopsis "Find enriched regions in transcription factor ChIP-sequencing data") (description "The Triform algorithm uses model-free statistics to identify peak-like distributions of TF ChIP sequencing reads, taking advantage of an improved peak definition in combination with known profile characteristics.") (license license:gpl2))) (define-public r-varianttools (package (name "r-varianttools") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "VariantTools" version)) (sha256 (base32 "1ibg4cdpbv4ph3y4r90j8zfwr1cy1z33p4bazhzyi2zv3xa1nrq6")))) (properties `((upstream-name . "VariantTools"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-matrix r-rsamtools r-rtracklayer r-s4vectors r-variantannotation)) (home-page "https://bioconductor.org/packages/VariantTools/") (synopsis "Tools for exploratory analysis of variant calls") (description "Explore, diagnose, and compare variant calls using filters. The VariantTools package supports a workflow for loading data, calling single sample variants and tumor-specific somatic mutations or other sample-specific variant types (e.g., RNA editing). Most of the functions operate on alignments (BAM files) or datasets of called variants. The user is expected to have already aligned the reads with a separate tool, e.g., GSNAP via gmapR.") (license license:artistic2.0))) (define-public r-heatplus (package (name "r-heatplus") (version "3.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Heatplus" version)) (sha256 (base32 "1vs7x4dc2vrfi2wi300bjr2hl1wwp4v27sgzycr6qv6x2nx9i5xq")))) (properties `((upstream-name . "Heatplus"))) (build-system r-build-system) (propagated-inputs (list r-rcolorbrewer)) (home-page "https://github.com/alexploner/Heatplus") (synopsis "Heatmaps with row and/or column covariates and colored clusters") (description "This package provides tools to display a rectangular heatmap (intensity plot) of a data matrix. By default, both samples (columns) and features (row) of the matrix are sorted according to a hierarchical clustering, and the corresponding dendrogram is plotted. Optionally, panels with additional information about samples and features can be added to the plot.") (license license:gpl2+))) (define-public r-gosemsim (package (name "r-gosemsim") (version "2.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GOSemSim" version)) (sha256 (base32 "10jhjzgf10w9cmr97qzc3mqvgvgx9h7pqk7zkkqwhg7anv6wa788")))) (properties `((upstream-name . "GOSemSim"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-go-db r-rcpp r-rlang)) (native-inputs (list r-knitr)) (home-page "https://guangchuangyu.github.io/software/GOSemSim") (synopsis "GO-terms semantic similarity measures") (description "The semantic comparisons of @dfn{Gene Ontology} (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. GOSemSim is an R package for semantic similarity computation among GO terms, sets of GO terms, gene products and gene clusters.") (license license:artistic2.0))) (define-public r-anota (package (name "r-anota") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "anota" version)) (sha256 (base32 "1b1r7jwilwvl89fw3rqascyhy8wnm8y81lnx85pwjk55ld56jlb1")))) (build-system r-build-system) (propagated-inputs (list r-multtest r-qvalue)) (home-page "https://bioconductor.org/packages/anota/") (synopsis "Analysis of translational activity") (description "Genome wide studies of translational control is emerging as a tool to study various biological conditions. The output from such analysis is both the mRNA level (e.g. cytosolic mRNA level) and the level of mRNA actively involved in translation (the actively translating mRNA level) for each mRNA. The standard analysis of such data strives towards identifying differential translational between two or more sample classes - i.e., differences in actively translated mRNA levels that are independent of underlying differences in cytosolic mRNA levels. This package allows for such analysis using partial variances and the random variance model. As 10s of thousands of mRNAs are analyzed in parallel the library performs a number of tests to assure that the data set is suitable for such analysis.") (license license:gpl3))) (define-public r-anota2seq (package (name "r-anota2seq") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "anota2seq" version)) (sha256 (base32 "0kyxwhj5vq5z4v3x3hfb9ks3h37axqskyj9rzyj2bzsy2yk9hajn")))) (properties `((upstream-name . "anota2seq"))) (build-system r-build-system) (propagated-inputs (list r-deseq2 r-edger r-limma r-multtest r-qvalue r-rcolorbrewer r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/anota2seq") (synopsis "Transcriptome-wide analysis of translational efficiency") (description "The anota2seq package provides analysis of translational efficiency and differential expression analysis for polysome-profiling and ribosome-profiling studies (two or more sample classes) quantified by RNA sequencing or DNA-microarray. Polysome-profiling and ribosome-profiling typically generate data for two RNA sources, translated mRNA and total mRNA. Analysis of differential expression is used to estimate changes within each RNA source. Analysis of translational efficiency aims to identify changes in translation efficiency leading to altered protein levels that are independent of total mRNA levels or buffering, a mechanism regulating translational efficiency so that protein levels remain constant despite fluctuating total mRNA levels.") (license license:gpl3))) (define-public r-fcscan (package (name "r-fcscan") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "fcScan" version)) (sha256 (base32 "0hhad9vg43j0yz8fp2w7qdhvdy77yr7anv0fi170042x3piq1q7r")))) (properties `((upstream-name . "fcScan"))) (build-system r-build-system) (propagated-inputs (list r-doparallel r-foreach r-genomicranges r-iranges r-plyr r-rtracklayer r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/fcScan") (synopsis "Detect clusters of coordinates with user defined options") (description "This package is used to detect combination of genomic coordinates falling within a user defined window size along with user defined overlap between identified neighboring clusters. It can be used for genomic data where the clusters are built on a specific chromosome or specific strand. Clustering can be performed with a \"greedy\" option allowing thus the presence of additional sites within the allowed window size.") (license license:artistic2.0))) (define-public r-fgsea (package (name "r-fgsea") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "fgsea" version)) (sha256 (base32 "0sykd4ingpw41615hbr3vw9yd1ks225hdb5qxnhbk4m4wxj814ql")))) (build-system r-build-system) (propagated-inputs (list r-bh r-biocparallel r-cowplot r-data-table r-fastmatch r-ggplot2 r-matrix r-rcpp r-scales)) (native-inputs (list r-knitr)) (home-page "https://github.com/ctlab/fgsea/") (synopsis "Fast gene set enrichment analysis") (description "The package implements an algorithm for fast gene set enrichment analysis. Using the fast algorithm makes more permutations and gets more fine grained p-values, which allows using accurate standard approaches to multiple hypothesis correction.") (license license:expat))) (define-public r-dose (package (name "r-dose") (version "3.28.2") (source (origin (method url-fetch) (uri (bioconductor-uri "DOSE" version)) (sha256 (base32 "0kk4l8cxyvcq4cjjnb59zajf4ci0igml13582qqn8123cqkbf8pf")))) (properties `((upstream-name . "DOSE"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocparallel r-fgsea r-ggplot2 r-gosemsim r-hdo-db r-qvalue r-reshape2 r-yulab-utils)) (native-inputs (list r-knitr)) (home-page "https://guangchuangyu.github.io/software/DOSE/") (synopsis "Disease ontology semantic and enrichment analysis") (description "This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang, respectively, for measuring semantic similarities among @dfn{Disease ontology} (DO) terms and gene products. Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data.") (license license:artistic2.0))) (define-public r-enrichedheatmap (package (name "r-enrichedheatmap") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EnrichedHeatmap" version)) (sha256 (base32 "0j87x26qimsx4gi311bm1g9bldwq9r4z3aflxf8p91zlavjbv8zp")))) (properties `((upstream-name . "EnrichedHeatmap"))) (build-system r-build-system) (propagated-inputs (list r-circlize r-complexheatmap r-genomicranges r-getoptlong r-iranges r-locfit r-matrixstats r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://github.com/jokergoo/EnrichedHeatmap") (synopsis "Enriched heatmaps") (description "Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. This type of heatmap is just a normal heatmap but with some special settings, with the functionality of @code{ComplexHeatmap}, it would be much easier to customize the heatmap as well as concatenating to a list of heatmaps to show correspondance between different data sources.") (license license:expat))) (define-public r-enrichplot (package (name "r-enrichplot") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "enrichplot" version)) (sha256 (base32 "05ps96adbn4h8i0mqflzm1h6chjlrmfz6hx393232bhb995jfllx")))) (build-system r-build-system) (propagated-inputs (list r-aplot r-dose r-ggfun r-ggnewscale r-ggplot2 r-ggraph r-ggtree r-gosemsim r-igraph r-magrittr r-plyr r-purrr r-rcolorbrewer r-reshape2 r-rlang r-scatterpie r-shadowtext r-yulab-utils)) (native-inputs (list r-knitr)) (home-page "https://github.com/GuangchuangYu/enrichplot") (synopsis "Visualization of functional enrichment result") (description "The enrichplot package implements several visualization methods for interpreting functional enrichment results obtained from ORA or GSEA analyses. All the visualization methods are developed based on ggplot2 graphics.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on Bioconductor packages, so we ;; added it here. (define-public r-classdiscovery (package (name "r-classdiscovery") (version "3.4.0") (source (origin (method url-fetch) (uri (cran-uri "ClassDiscovery" version)) (sha256 (base32 "06l7jvpcdynij05hb0ka33zpg7xdyqyzfzx24s0bnlspp83yc62s")))) (properties `((upstream-name . "ClassDiscovery"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-cluster r-mclust r-oompabase r-oompadata)) (native-inputs (list r-xtable)) ;for vignettes (home-page "https://oompa.r-forge.r-project.org/") (synopsis "Classes and methods for \"Class Discovery\" with Microarrays or Proteomics") (description "This package defines classes for \"class discovery\" in the OOMPA project. Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.") (license license:asl2.0))) (define-public r-clusterprofiler (package (name "r-clusterprofiler") (version "4.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "clusterProfiler" version)) (sha256 (base32 "1vlrybyczfci5qnw50k0y2j2853r2p1ff5bpj35rdca4ja0iqh2q")))) (properties `((upstream-name . "clusterProfiler"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-dose r-downloader r-dplyr r-enrichplot r-go-db r-gosemsim r-gson r-httr r-igraph r-magrittr r-plyr r-qvalue r-rlang r-tidyr r-yulab-utils)) (native-inputs (list r-knitr)) (home-page "https://guangchuangyu.github.io/software/clusterProfiler/") (synopsis "Analysis and visualization of functional profiles for gene clusters") (description "This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.") (license license:artistic2.0))) (define-public r-clusterexperiment (package (name "r-clusterexperiment") (version "2.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "clusterExperiment" version)) (sha256 (base32 "1qnxrdpp75m342q4chwaig413l52giz1h7nd4p9y4b472dqx9hh4")))) (build-system r-build-system) (native-inputs (list r-knitr)) (propagated-inputs (list r-ape r-biocgenerics r-biocsingular r-cluster r-delayedarray r-edger r-hdf5array r-howmany r-kernlab r-limma r-locfdr r-matrix r-matrixstats r-mbkmeans r-nmf r-phylobase r-pracma r-rcolorbrewer r-rcpp r-s4vectors r-scales r-singlecellexperiment r-stringr r-summarizedexperiment r-zinbwave)) (home-page "https://bioconductor.org/packages/clusterExperiment/") (synopsis "Compare clusterings for single-cell sequencing") (description "This package provides functionality for running and comparing many different clusterings of single-cell sequencing data or other large mRNA expression data sets.") (license license:artistic2.0))) (define-public r-mlinterfaces (package (name "r-mlinterfaces") (version "1.82.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MLInterfaces" version)) (sha256 (base32 "0aga7xhx5d1xp09n2im7yqi9y1b3v22l554hi35ahg2lwwvxjiw1")))) (properties `((upstream-name . "MLInterfaces"))) (build-system r-build-system) (propagated-inputs (list r-annotate r-biobase r-biocgenerics r-cluster r-fpc r-gbm r-gdata r-genefilter r-ggvis r-hwriter r-magrittr r-mass r-mlbench r-pls r-rcolorbrewer r-rcpp r-rpart r-sfsmisc r-shiny r-summarizedexperiment r-threejs)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/MLInterfaces/") (synopsis "Interfaces to R machine learning procedures") (description "This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.") ;; Any version of the LGPL. (license license:lgpl2.1+))) (define-public r-annaffy (package (name "r-annaffy") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annaffy" version)) (sha256 (base32 "1mdv0x9lnr0bm96h5f9104nqg2j6cjqvp5prrxx10j0d6464vmkw")))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'remove-reference-to-non-free-data (lambda _ (substitute* "DESCRIPTION" ((", KEGG.db") ""))))))) (propagated-inputs (list r-annotationdbi r-biobase r-biocmanager r-dbi r-go-db)) (home-page "https://bioconductor.org/packages/annaffy/") (synopsis "Annotation tools for Affymetrix biological metadata") (description "This package provides functions for handling data from Bioconductor Affymetrix annotation data packages. It produces compact HTML and text reports including experimental data and URL links to many online databases. It allows searching of biological metadata using various criteria.") ;; Any version of the LGPL according to the DESCRIPTION file. A copy of ;; the LGPL 2.1 is included. (license license:lgpl2.1+))) (define-public r-a4core (package (name "r-a4core") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "a4Core" version)) (sha256 (base32 "0iismcsnkyb7m4dwmxw5pyvscj2bhp6zw9hpdb2ff91viynbknq1")))) (properties `((upstream-name . "a4Core"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-glmnet)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/a4Core") (synopsis "Automated Affymetrix array analysis core package") (description "This is the core package for the automated analysis of Affymetrix arrays.") (license license:gpl3))) (define-public r-a4classif (package (name "r-a4classif") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "a4Classif" version)) (sha256 (base32 "1wxkyqyhb3mj04kmaisd09dapywjpc081ihaig5rs04k611ddvhi")))) (properties `((upstream-name . "a4Classif"))) (build-system r-build-system) (propagated-inputs (list r-a4core r-a4preproc r-biobase r-glmnet r-pamr r-rocr r-varselrf)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/a4Classif/") (synopsis "Automated Affymetrix array analysis classification package") (description "This is the classification package for the automated analysis of Affymetrix arrays.") (license license:gpl3))) (define-public r-a4preproc (package (name "r-a4preproc") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "a4Preproc" version)) (sha256 (base32 "19nf3bc0gdwixif50f3bs47a1kw1w1lir1dz4l8zqdp3h8gfmj60")))) (properties `((upstream-name . "a4Preproc"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/a4Preproc/") (synopsis "Automated Affymetrix array analysis preprocessing package") (description "This is a package for the automated analysis of Affymetrix arrays. It is used for preprocessing the arrays.") (license license:gpl3))) (define-public r-a4reporting (package (name "r-a4reporting") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "a4Reporting" version)) (sha256 (base32 "16lgbwsgwp77x9a8c3hr1aqhp36skzz72xhbzm0a7w3kagmd8gn6")))) (properties `((upstream-name . "a4Reporting"))) (build-system r-build-system) (propagated-inputs (list r-xtable)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/a4Reporting/") (synopsis "Automated Affymetrix array analysis reporting package") (description "This is a package for the automated analysis of Affymetrix arrays. It provides reporting features.") (license license:gpl3))) (define-public r-a4base (package (name "r-a4base") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "a4Base" version)) (sha256 (base32 "0hin5lpwa7cxa862jh3y7d8kq3q9bv76ri08b27jxzyr5p7xwcr2")))) (properties `((upstream-name . "a4Base"))) (build-system r-build-system) (propagated-inputs (list r-a4core r-a4preproc r-annaffy r-biobase r-genefilter r-glmnet r-gplots r-limma r-mpm r-multtest)) (home-page "https://bioconductor.org/packages/a4Base/") (synopsis "Automated Affymetrix array analysis base package") (description "This package provides basic features for the automated analysis of Affymetrix arrays.") (license license:gpl3))) (define-public r-a4 (package (name "r-a4") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "a4" version)) (sha256 (base32 "1hdqnipg326z2k7vs6sc1brc9lvvhmr2l6cjp4f9a205g4q7r9rr")))) (build-system r-build-system) (propagated-inputs (list r-a4base r-a4classif r-a4core r-a4preproc r-a4reporting)) (home-page "https://bioconductor.org/packages/a4/") (synopsis "Automated Affymetrix array analysis umbrella package") (description "This package provides a software suite for the automated analysis of Affymetrix arrays.") (license license:gpl3))) (define-public r-abseqr (package (name "r-abseqr") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "abseqR" version)) (sha256 (base32 "0s865nahgm0by2nvjydkjlhkj2sxmrvcrhw7rmm46ld4g10xsrc8")))) (properties `((upstream-name . "abseqR"))) (build-system r-build-system) (inputs (list pandoc)) (propagated-inputs (list r-biocparallel r-biocstyle r-circlize r-flexdashboard r-ggcorrplot r-ggdendro r-ggplot2 r-gridextra r-knitr r-plotly r-plyr r-png r-rcolorbrewer r-reshape2 r-rmarkdown r-stringr r-vegan r-venndiagram)) (native-inputs (list r-knitr)) (home-page "https://github.com/malhamdoosh/abseqR") (synopsis "Reporting and data analysis for Rep-Seq datasets of antibody libraries") (description "AbSeq is a comprehensive bioinformatic pipeline for the analysis of sequencing datasets generated from antibody libraries and abseqR is one of its packages. AbseqR empowers the users of abseqPy with plotting and reporting capabilities and allows them to generate interactive HTML reports for the convenience of viewing and sharing with other researchers. Additionally, abseqR extends abseqPy to compare multiple repertoire analyses and perform further downstream analysis on its output.") (license license:gpl3))) (define-public r-bacon (package (name "r-bacon") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bacon" version)) (sha256 (base32 "065b4xf5i1bx08494nm3r497bs47s5vf99l2g37nlpvxf7pypvrz")))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-ellipse r-ggplot2)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/bacon/") (synopsis "Controlling bias and inflation in association studies") (description "Bacon can be used to remove inflation and bias often observed in epigenome- and transcriptome-wide association studies. To this end bacon constructs an empirical null distribution using a Gibbs Sampling algorithm by fitting a three-component normal mixture on z-scores.") (license license:gpl2+))) (define-public r-rgadem (package (name "r-rgadem") (version "2.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rGADEM" version)) (sha256 (base32 "14jcsqb56vn67hjmcjjnwswzbilsarkk8kblc715c7da72q7fzpn")))) (properties `((upstream-name . "rGADEM"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome r-genomicranges r-iranges r-seqlogo)) (home-page "https://bioconductor.org/packages/rGADEM/") (synopsis "De novo sequence motif discovery") (description "rGADEM is an efficient de novo motif discovery tool for large-scale genomic sequence data.") (license license:artistic2.0))) (define-public r-motiv (package (name "r-motiv") (version "1.43.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MotIV" version)) (sha256 (base32 "1yqqymcrnwlpv6h3w80yliv19922g32xqlqszaqjk6zp853qilh6")))) (properties `((upstream-name . "MotIV"))) (build-system r-build-system) (inputs (list gsl)) (propagated-inputs (list r-biocgenerics r-biostrings r-genomicranges r-iranges r-lattice r-rgadem r-s4vectors)) (home-page "https://bioconductor.org/packages/MotIV/") (synopsis "Motif identification and validation") (description "This package is used for the identification and validation of sequence motifs. It makes use of STAMP for comparing a set of motifs to a given database (e.g. JASPAR). It can also be used to visualize motifs, motif distributions, modules and filter motifs.") (license license:gpl2))) (define-public r-motifdb (package (name "r-motifdb") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MotifDb" version)) (sha256 (base32 "1z72f5f3sh2ak6zjcfc6j6rblkllmdkli0kb57nwxg2j5hrys3xr")))) (properties `((upstream-name . "MotifDb"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-genomicranges r-iranges r-rtracklayer r-s4vectors r-splitstackshape)) (native-inputs (list r-formatr r-knitr r-markdown r-rmarkdown)) (home-page "https://www.bioconductor.org/packages/MotifDb/") (synopsis "Annotated collection of protein-DNA binding sequence motifs") (description "This package provides more than 2000 annotated position frequency matrices from nine public sources, for multiple organisms.") (license license:artistic2.0))) (define-public r-motifbreakr (package (name "r-motifbreakr") (version "2.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "motifbreakR" version)) (sha256 (base32 "02i3hkffhhsbzmn97mv8wc2px5caq9xnp45z0l53dp1jxbmms1h0")))) (properties `((upstream-name . "motifbreakR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-genomeinfodb r-genomicranges r-gviz r-iranges r-matrixstats r-motifdb r-motifstack r-rtracklayer r-s4vectors r-stringr r-summarizedexperiment r-tfmpvalue r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://www.bioconductor.org/packages/motifbreakR/") (synopsis "Predicting disruptiveness of single nucleotide polymorphisms") (description "This package allows biologists to judge in the first place whether the sequence surrounding the polymorphism is a good match, and in the second place how much information is gained or lost in one allele of the polymorphism relative to another. This package gives a choice of algorithms for interrogation of genomes with motifs from public sources: @enumerate @item a weighted-sum probability matrix; @item log-probabilities; @item weighted by relative entropy. @end enumerate This package can predict effects for novel or previously described variants in public databases, making it suitable for tasks beyond the scope of its original design. Lastly, it can be used to interrogate any genome curated within Bioconductor.") (license license:gpl2+))) (define-public r-motifstack (package (name "r-motifstack") (version "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "motifStack" version)) (sha256 (base32 "10hmqwkysifd59as9zx00p3gj595lwj30ywn9pqb1920q6f5mx2i")) (snippet '(delete-file "inst/htmlwidgets/lib/d3/d3.v4.min.js")))) (properties `((upstream-name . "motifStack"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (with-directory-excursion "inst/htmlwidgets/lib/d3" (let ((source (assoc-ref inputs "_")) (target "d3.v4.min.js")) (invoke "esbuild" source "--minify" (string-append "--outfile=" target))))))))) (propagated-inputs (list r-ade4 r-biostrings r-ggplot2 r-htmlwidgets r-tfbstools r-xml)) (native-inputs (list esbuild r-knitr (origin (method url-fetch) (uri "https://web.archive.org/web/20230428092426id_/\ https://d3js.org/d3.v4.js") (sha256 (base32 "0y7byf6kcinfz9ac59jxc4v6kppdazmnyqfav0dm4h550fzfqqlg"))))) (home-page "https://bioconductor.org/packages/motifStack/") (synopsis "Plot stacked logos for DNA, RNA and amino acid sequences") (description "The motifStack package is designed for graphic representation of multiple motifs with different similarity scores. It works with both DNA/RNA sequence motifs and amino acid sequence motifs. In addition, it provides the flexibility for users to customize the graphic parameters such as the font type and symbol colors.") (license license:gpl2+))) (define-public r-genomicscores (package (name "r-genomicscores") (version "2.14.3") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicScores" version)) (sha256 (base32 "0rhyfbm5whz4jygar9cqcrfy92h1lyam5wd8d9svhh80f15v53m9")))) (properties `((upstream-name . "GenomicScores"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-biobase r-biocfilecache r-biocgenerics r-biocmanager r-biostrings r-delayedarray r-genomeinfodb r-genomicranges r-hdf5array r-httr r-iranges r-rhdf5 r-s4vectors r-xml)) (native-inputs (list r-knitr)) (home-page "https://github.com/rcastelo/GenomicScores/") (synopsis "Work with genome-wide position-specific scores") (description "This package provides infrastructure to store and access genome-wide position-specific scores within R and Bioconductor.") (license license:artistic2.0))) (define-public r-genomicstate (package (name "r-genomicstate") (version "0.99.15") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicState" version 'annotation)) (sha256 (base32 "1r7z3n6wyrd2cclj5b7sg15wpmjdh9k5b1hjlw7jjx8j384l7l1h")))) (properties `((upstream-name . "GenomicState"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationhub r-bumphunter r-derfinder r-genomeinfodb r-genomicfeatures r-iranges r-org-hs-eg-db r-rtracklayer)) (native-inputs (list r-knitr)) (home-page "https://github.com/LieberInstitute/GenomicState") (synopsis "Build and access GenomicState objects") (description "This package contains functions for building @code{GenomicState} objects from different annotation sources such as Gencode. It also provides access to these files at JHPCE.") (license license:artistic2.0))) (define-public r-atacseqqc (package (name "r-atacseqqc") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ATACseqQC" version)) (sha256 (base32 "1b53rkhyqnyh5vangh3hy4yccx1yackwbv1pxdimbp840ji6d122")))) (properties `((upstream-name . "ATACseqQC"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-bsgenome r-chippeakanno r-edger r-genomeinfodb r-genomicalignments r-genomicranges r-genomicscores r-iranges r-kernsmooth r-limma r-motifstack r-preseqr r-randomforest r-rsamtools r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ATACseqQC/") (synopsis "ATAC-seq quality control") (description "ATAC-seq, an assay for Transposase-Accessible Chromatin using sequencing, is a rapid and sensitive method for chromatin accessibility analysis. It was developed as an alternative method to MNase-seq, FAIRE-seq and DNAse-seq. The ATACseqQC package was developed to help users to quickly assess whether their ATAC-seq experiment is successful. It includes diagnostic plots of fragment size distribution, proportion of mitochondria reads, nucleosome positioning pattern, and CTCF or other Transcript Factor footprints.") (license license:gpl2+))) (define-public r-gofuncr (package (name "r-gofuncr") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GOfuncR" version)) (sha256 (base32 "1baa3aabkhmwq66xkzf4jk5nz85kkx1ks0mqc91s2ra9916wj6cd")))) (properties `((upstream-name . "GOfuncR"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-genomicranges r-gtools r-iranges r-mapplots r-rcpp r-vioplot)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GOfuncR/") (synopsis "Gene ontology enrichment using FUNC") (description "GOfuncR performs a gene ontology enrichment analysis based on the ontology enrichment software FUNC. GO-annotations are obtained from OrganismDb or OrgDb packages (@code{Homo.sapiens} by default); the GO-graph is included in the package and updated regularly. GOfuncR provides the standard candidate vs background enrichment analysis using the hypergeometric test, as well as three additional tests: @enumerate @item the Wilcoxon rank-sum test that is used when genes are ranked, @item a binomial test that is used when genes are associated with two counts, and @item a Chi-square or Fisher's exact test that is used in cases when genes are associated with four counts. @end enumerate To correct for multiple testing and interdependency of the tests, family-wise error rates are computed based on random permutations of the gene-associated variables. GOfuncR also provides tools for exploring the ontology graph and the annotations, and options to take gene-length or spatial clustering of genes into account. It is also possible to provide custom gene coordinates, annotations and ontologies.") (license license:gpl2+))) (define-public r-abaenrichment (package (name "r-abaenrichment") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ABAEnrichment" version)) (sha256 (base32 "1sp3f72rzlr822dxx42bswynrwwfx6f520hdhfdikqp13p2y4044")))) (properties `((upstream-name . "ABAEnrichment"))) (build-system r-build-system) (propagated-inputs (list r-abadata r-data-table r-gofuncr r-gplots r-gtools r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ABAEnrichment/") (synopsis "Gene expression enrichment in human brain regions") (description "The package ABAEnrichment is designed to test for enrichment of user defined candidate genes in the set of expressed genes in different human brain regions. The core function @code{aba_enrich} integrates the expression of the candidate gene set (averaged across donors) and the structural information of the brain using an ontology, both provided by the Allen Brain Atlas project.") (license license:gpl2+))) (define-public r-annotationfuncs (package (name "r-annotationfuncs") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationFuncs" version)) (sha256 (base32 "0xsm7741zm81bi4c9hy0zaacnk8a6bahdpc6srqzrbsz0pfzdyhr")))) (properties `((upstream-name . "AnnotationFuncs"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-dbi)) (home-page "https://www.iysik.com/r/annotationfuncs") (synopsis "Annotation translation functions") (description "This package provides functions for handling translating between different identifieres using the Biocore Data Team data-packages (e.g. @code{org.Bt.eg.db}).") (license license:gpl2))) (define-public r-annotationtools (package (name "r-annotationtools") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annotationTools" version)) (sha256 (base32 "0g086rj06k3wac24zx66dw1yc1bzv25bmlbjbpcpgdcmyjb1i8sf")))) (properties `((upstream-name . "annotationTools"))) (build-system r-build-system) (propagated-inputs (list r-biobase)) (home-page "https://bioconductor.org/packages/annotationTools/") (synopsis "Annotate microarrays and perform gene expression analyses") (description "This package provides functions to annotate microarrays, find orthologs, and integrate heterogeneous gene expression profiles using annotation and other molecular biology information available as flat file database (plain text files).") ;; Any version of the GPL. (license (list license:gpl2+)))) (define-public r-allelicimbalance (package (name "r-allelicimbalance") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AllelicImbalance" version)) (sha256 (base32 "0p7l856a46zzla8brsg901pmh5738j63h7h7rn3da94ny8k417mf")))) (properties `((upstream-name . "AllelicImbalance"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-biostrings r-bsgenome r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-gridextra r-gviz r-iranges r-lattice r-latticeextra r-nlme r-rsamtools r-s4vectors r-seqinr r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://github.com/pappewaio/AllelicImbalance") (synopsis "Investigate allele-specific expression") (description "This package provides a framework for allele-specific expression investigation using RNA-seq data.") (license license:gpl3))) (define-public r-aucell (package (name "r-aucell") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AUCell" version)) (sha256 (base32 "1d1icbq8i7mwsc7lv9pn4r0vs7azx1lwng5p3ghnray1ygqclbi0")))) (properties `((upstream-name . "AUCell"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-data-table r-delayedarray r-delayedmatrixstats r-gseabase r-matrix r-mixtools r-r-utils r-shiny r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/AUCell/") (synopsis "Analysis of gene set activity in single-cell RNA-seq data") (description "AUCell identifies cells with active gene sets (e.g. signatures, gene modules, etc) in single-cell RNA-seq data. AUCell uses the @dfn{Area Under the Curve} (AUC) to calculate whether a critical subset of the input gene set is enriched within the expressed genes for each cell. The distribution of AUC scores across all the cells allows exploring the relative expression of the signature. Since the scoring method is ranking-based, AUCell is independent of the gene expression units and the normalization procedure. In addition, since the cells are evaluated individually, it can easily be applied to bigger datasets, subsetting the expression matrix if needed.") (license license:gpl3))) (define-public r-ebimage (package (name "r-ebimage") (version "4.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EBImage" version)) (sha256 (base32 "0jdi5cn4v5ll43xb3l6sy062snd5p9n2nrryc5aqd2ki18mdmghy")))) (properties `((upstream-name . "EBImage"))) (build-system r-build-system) (propagated-inputs (list r-abind r-biocgenerics r-fftwtools r-htmltools r-htmlwidgets r-jpeg r-locfit r-png r-rcurl r-tiff)) (native-inputs (list r-knitr)) ; for vignettes (home-page "https://github.com/aoles/EBImage") (synopsis "Image processing and analysis toolbox for R") (description "EBImage provides general purpose functionality for image processing and analysis. In the context of (high-throughput) microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and facilitates the use of other tools in the R environment for signal processing, statistical modeling, machine learning and visualization with image data.") ;; Any version of the LGPL. (license license:lgpl2.1+))) (define-public r-yamss (package (name "r-yamss") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yamss" version)) (sha256 (base32 "16rdy35wmydcx322pf9j7l7z2mzgrksg1whr8i8xdmdqfnqz3xyb")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-data-table r-ebimage r-iranges r-limma r-matrix r-mzr r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/hansenlab/yamss") (synopsis "Tools for high-throughput metabolomics") (description "This package provides tools to analyze and visualize high-throughput metabolomics data acquired using chromatography-mass spectrometry. These tools preprocess data in a way that enables reliable and powerful differential analysis.") (license license:artistic2.0))) (define-public r-gtrellis (package (name "r-gtrellis") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gtrellis" version)) (sha256 (base32 "022wn0l2wfizlz6d5plkphjsjbmxw2wcvxrzr4vanczjzzyxv5c5")))) (build-system r-build-system) (propagated-inputs (list r-circlize r-genomicranges r-getoptlong r-iranges)) (native-inputs (list r-knitr)) (home-page "https://github.com/jokergoo/gtrellis") (synopsis "Genome level Trellis layout") (description "Genome level Trellis graph visualizes genomic data conditioned by genomic categories (e.g. chromosomes). For each genomic category, multiple dimensional data which are represented as tracks describe different features from different aspects. This package provides high flexibility to arrange genomic categories and to add self-defined graphics in the plot.") (license license:expat))) (define-public r-somaticsignatures (package (name "r-somaticsignatures") (version "2.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SomaticSignatures" version)) (sha256 (base32 "0s9kjjh1n4a55ycjvcw8ymjcclcj8b35aygx4x1k5af1hf3f7wyb")))) (properties `((upstream-name . "SomaticSignatures"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biostrings r-genomeinfodb r-genomicranges r-ggbio r-ggplot2 r-iranges r-nmf r-pcamethods r-proxy r-reshape2 r-s4vectors r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://github.com/juliangehring/SomaticSignatures") (synopsis "Somatic signatures") (description "This package identifies mutational signatures of @dfn{single nucleotide variants} (SNVs). It provides a infrastructure related to the methodology described in Nik-Zainal (2012, Cell), with flexibility in the matrix decomposition algorithms.") (license license:expat))) (define-public r-yapsa (package (name "r-yapsa") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "YAPSA" version)) (sha256 (base32 "07dxhaywad9ivkrc454hhizfw6a5yvarrc5fp5za2jgsznv408wl")))) (properties `((upstream-name . "YAPSA"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome-hsapiens-ucsc-hg19 r-circlize r-complexheatmap r-corrplot r-dendextend r-doparallel r-dplyr r-genomeinfodb r-genomicranges r-getoptlong r-ggbeeswarm r-ggplot2 r-gridextra r-gtrellis r-keggrest r-limsolve r-magrittr r-pmcmrplus r-pracma r-reshape2 r-somaticsignatures r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/YAPSA/") (synopsis "Yet another package for signature analysis") (description "This package provides functions and routines useful in the analysis of somatic signatures (cf. L. Alexandrov et al., Nature 2013). In particular, functions to perform a signature analysis with known signatures and a signature analysis on @dfn{stratified mutational catalogue} (SMC) are provided.") (license license:gpl3))) (define-public r-gcrma (package (name "r-gcrma") (version "2.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gcrma" version)) (sha256 (base32 "07ina8w8p5bm382v452i2wpmv90gvgli393lsgp7xy0h9in7h6yg")))) (build-system r-build-system) (propagated-inputs (list r-affy r-affyio r-biobase r-biocmanager r-biostrings r-xvector)) (home-page "https://bioconductor.org/packages/gcrma/") (synopsis "Background adjustment using sequence information") (description "Gcrma adjusts for background intensities in Affymetrix array data which include optical noise and @dfn{non-specific binding} (NSB). The main function @code{gcrma} converts background adjusted probe intensities to expression measures using the same normalization and summarization methods as a @dfn{Robust Multiarray Average} (RMA). Gcrma uses probe sequence information to estimate probe affinity to NSB. The sequence information is summarized in a more complex way than the simple GC content. Instead, the base types (A, T, G or C) at each position along the probe determine the affinity of each probe. The parameters of the position-specific base contributions to the probe affinity is estimated in an NSB experiment in which only NSB but no gene-specific binding is expected.") ;; Any version of the LGPL (license license:lgpl2.1+))) (define-public r-simpleaffy (package (name "r-simpleaffy") (version "2.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "simpleaffy" version)) (sha256 (base32 "04a11dsqd5y4b39nny94acnh0qhdazjc6d1803izza4vrgmw2csb")))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-biocgenerics r-gcrma r-genefilter)) (home-page "https://bioconductor.org/packages/simpleaffy/") (synopsis "Very simple high level analysis of Affymetrix data") (description "This package provides high level functions for reading Affy @file{.CEL} files, phenotypic data, and then computing simple things with it, such as t-tests, fold changes and the like. It makes heavy use of the @code{affy} library. It also has some basic scatter plot functions and mechanisms for generating high resolution journal figures.") (license license:gpl2+))) (define-public r-yaqcaffy (package (name "r-yaqcaffy") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yaqcaffy" version)) (sha256 (base32 "18gphcjj15iivrahp52186bvdg07yd2dvrykfjdd4r1vyf33im96")))) (build-system r-build-system) (propagated-inputs (list r-simpleaffy)) (home-page "https://bioconductor.org/packages/yaqcaffy/") (synopsis "Affymetrix quality control and reproducibility analysis") (description "This is a package that can be used for quality control of Affymetrix GeneChip expression data and reproducibility analysis of human whole genome chips with the MAQC reference datasets.") (license license:artistic2.0))) (define-public r-quantro (package (name "r-quantro") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "quantro" version)) (sha256 (base32 "032qxwgldl1hbgsgb5q3fi7nfg1nx3k0yppqkvim5cif613m1nzq")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-doparallel r-foreach r-ggplot2 r-iterators r-minfi r-rcolorbrewer)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/quantro/") (synopsis "Test for when to use quantile normalization") (description "This package provides a data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.") (license license:gpl3+))) (define-public r-yarn (package (name "r-yarn") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yarn" version)) (sha256 (base32 "12d806pyiks5xbvxng4pxn0xqvgs4c526gp2pp2qhdxw0w2m29rj")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biomart r-downloader r-edger r-gplots r-limma r-matrixstats r-preprocesscore r-quantro r-rcolorbrewer r-readr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/yarn/") (synopsis "Robust multi-condition RNA-Seq preprocessing and normalization") (description "Expedite large RNA-Seq analyses using a combination of previously developed tools. YARN is meant to make it easier for the user in performing basic mis-annotation quality control, filtering, and condition-aware normalization. YARN leverages many Bioconductor tools and statistical techniques to account for the large heterogeneity and sparsity found in very large RNA-seq experiments.") (license license:artistic2.0))) (define-public r-roar (package (name "r-roar") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "roar" version)) (sha256 (base32 "0pibk6zdqlbm0rxnb95pd94v6lbg67rwmjnpfxizq7wv36pw6kdr")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-genomeinfodb r-genomicalignments r-genomicranges r-iranges r-rtracklayer r-s4vectors r-summarizedexperiment)) (home-page "https://github.com/vodkatad/roar/") (synopsis "Identify differential APA usage from RNA-seq alignments") (description "This package provides tools for identifying preferential usage of APA sites, comparing two biological conditions, starting from known alternative sites and alignments obtained from standard RNA-seq experiments.") (license license:gpl3))) (define-public r-xbseq (package (name "r-xbseq") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "XBSeq" version)) (sha256 (base32 "1dvk2jpsdynqw5071z54yd5j0ddprhc1ppk834cz9liibd72d7vz")))) (properties `((upstream-name . "XBSeq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-deseq2 r-dplyr r-ggplot2 r-locfit r-magrittr r-matrixstats r-pracma r-roar)) (native-inputs (list r-knitr)) (home-page "https://github.com/Liuy12/XBSeq") (synopsis "Test for differential expression for RNA-seq data") (description "XBSeq is a novel algorithm for testing RNA-seq @dfn{differential expression} (DE), where a statistical model was established based on the assumption that observed signals are the convolution of true expression signals and sequencing noises. The mapped reads in non-exonic regions are considered as sequencing noises, which follows a Poisson distribution. Given measurable observed signal and background noise from RNA-seq data, true expression signals, assuming governed by the negative binomial distribution, can be delineated and thus the accurate detection of differential expressed genes.") (license license:gpl3+))) (define-public r-massspecwavelet (package (name "r-massspecwavelet") (version "1.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MassSpecWavelet" version)) (sha256 (base32 "044rz2xsz2v8i9ha20hxn2cwf7wa74p5f25jql8ancp6r3gim9sy")))) (properties `((upstream-name . "MassSpecWavelet"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/MassSpecWavelet/") (synopsis "Mass spectrum processing by wavelet-based algorithms") (description "The MassSpecWavelet package aims to process @dfn{Mass Spectrometry} (MS) data mainly through the use of wavelet transforms. It supports peak detection based on @dfn{Continuous Wavelet Transform} (CWT).") (license license:lgpl2.0+))) (define-public r-xcms (package (name "r-xcms") (version "4.0.2") (source (origin (method url-fetch) (uri (bioconductor-uri "xcms" version)) (sha256 (base32 "170s260sp880d3rb256189jvfnnmyzf9nxh8bvksng6yp561r8dc")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-iranges r-lattice r-massspecwavelet r-mscoreutils r-msexperiment r-msfeatures r-msnbase r-multtest r-mzr r-plyr r-progress r-protgenerics r-rann r-rcolorbrewer r-robustbase r-s4vectors r-spectra r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/xcms/") (synopsis "LC/MS and GC/MS mass spectrometry data analysis") (description "This package provides a framework for processing and visualization of chromatographically separated and single-spectra mass spectral data. It imports from AIA/ANDI NetCDF, mzXML, mzData and mzML files. It preprocesses data for high-throughput, untargeted analyte profiling.") (license license:gpl2+))) (define-public r-wppi (package (name "r-wppi") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wppi" version)) (sha256 (base32 "04wg645c0gww8mq3vg70gqlwm12dmqxmvk704zvmxcpifhrvpn2b")))) (properties `((upstream-name . "wppi"))) (build-system r-build-system) ;; This is necessary because omnipathr attempts to write a configuration ;; file to HOME. (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-dplyr r-igraph r-logger r-magrittr r-matrix r-omnipathr r-progress r-purrr r-rcurl r-rlang r-tibble r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/AnaGalhoz37/wppi") (synopsis "Weighting protein-protein interactions") (description "This package predicts functional relevance of protein-protein interactions based on functional annotations such as Human Protein Ontology and Gene Ontology, and prioritizes genes based on network topology, functional scores and a path search algorithm.") (license license:expat))) (define-public r-wrench (package (name "r-wrench") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Wrench" version)) (sha256 (base32 "11g6a2315hllf197ssccybhv6i7p48n7bv2amzpgxs7bs7qg3k9d")))) (properties `((upstream-name . "Wrench"))) (build-system r-build-system) (propagated-inputs (list r-limma r-locfit r-matrixstats)) (native-inputs (list r-knitr)) (home-page "https://github.com/HCBravoLab/Wrench") (synopsis "Wrench normalization for sparse count data") (description "Wrench is a package for normalization sparse genomic count data, like that arising from 16s metagenomic surveys.") (license license:artistic2.0))) (define-public r-wiggleplotr (package (name "r-wiggleplotr") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wiggleplotr" version)) (sha256 (base32 "1gq0hxmnnis0g1y6hiphz02dmk3pfjz874xb2bxqw49z7387fwm8")))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-cowplot r-dplyr r-genomeinfodb r-genomicranges r-ggplot2 r-iranges r-purrr r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/wiggleplotr/") (synopsis "Make read coverage plots from BigWig files") (description "This package provides tools to visualize read coverage from sequencing experiments together with genomic annotations (genes, transcripts, peaks). Introns of long transcripts can be rescaled to a fixed length for better visualization of exonic read coverage.") (license license:asl2.0))) (define-public r-widgettools (package (name "r-widgettools") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "widgetTools" version)) (sha256 (base32 "1zkc275sb1qbban7sghqziv3xkg7wjdpghddklv451n7j282k6w1")))) (properties `((upstream-name . "widgetTools"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/widgetTools/") (synopsis "Tools for creating interactive tcltk widgets") (description "This package contains tools to support the construction of tcltk widgets in R.") ;; Any version of the LGPL. (license license:lgpl3+))) (define-public r-webbioc (package (name "r-webbioc") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "webbioc" version)) (sha256 (base32 "1ca41q7hxy6p8kvc3qbjplvn40k4jwhf0mb03njifry4xi1xipgy")))) (build-system r-build-system) (inputs (list netpbm perl)) (propagated-inputs (list r-affy r-annaffy r-biobase r-biocmanager r-gcrma r-multtest r-qvalue r-vsn)) (home-page "https://www.bioconductor.org/") (synopsis "Bioconductor web interface") (description "This package provides an integrated web interface for doing microarray analysis using several of the Bioconductor packages. It is intended to be deployed as a centralized bioinformatics resource for use by many users. Currently only Affymetrix oligonucleotide analysis is supported.") (license license:gpl2+))) (define-public r-zinbwave (package (name "r-zinbwave") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "zinbwave" version)) (sha256 (base32 "1lp8x9grc07kaz9iy7yc45mk708g9dplsl86fq0ip8rs51c8f31i")))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-edger r-genefilter r-matrix r-singlecellexperiment r-softimpute r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/zinbwave") (synopsis "Zero-inflated negative binomial model for RNA-seq data") (description "This package implements a general and flexible zero-inflated negative binomial model that can be used to provide a low-dimensional representations of single-cell RNA-seq data. The model accounts for zero inflation (dropouts), over-dispersion, and the count nature of the data. The model also accounts for the difference in library sizes and optionally for batch effects and/or other covariates, avoiding the need for pre-normalize the data.") (license license:artistic2.0))) (define-public r-zfpkm (package (name "r-zfpkm") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "zFPKM" version)) (sha256 (base32 "18pnzc51r7l1ypnhavl83r3gy7l91qnqzvl6771zid04g99pk844")))) (properties `((upstream-name . "zFPKM"))) (build-system r-build-system) (propagated-inputs (list r-checkmate r-dplyr r-ggplot2 r-summarizedexperiment r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/ronammar/zFPKM/") (synopsis "Functions to facilitate zFPKM transformations") (description "This is a package to perform the zFPKM transform on RNA-seq FPKM data. This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID 24215113).") (license license:gpl3))) (define-public r-rbowtie2 (package (name "r-rbowtie2") (version "2.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rbowtie2" version)) (sha256 (base32 "0dx1psk6f27p1kiw4qwj1nf55gpqgisibzipvlnn5m9q3q8g70gv")))) (properties `((upstream-name . "Rbowtie2"))) (build-system r-build-system) (propagated-inputs (list r-magrittr r-rsamtools)) (inputs (list samtools zlib)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Rbowtie2/") (synopsis "R wrapper for Bowtie2 and AdapterRemoval") (description "This package provides an R wrapper of the popular @code{bowtie2} sequencing reads aligner and @code{AdapterRemoval}, a convenient tool for rapid adapter trimming, identification, and read merging.") (license license:gpl3+))) (define-public r-progeny (package (name "r-progeny") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "progeny" version)) (sha256 (base32 "1plgwi2fmx7bh648fqpzzfqnh84fsgnn5jfcbdf9yia6zzigicql")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-decoupler r-dplyr r-ggplot2 r-ggrepel r-gridextra r-reshape2 r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/saezlab/progeny") (synopsis "Pathway responsive gene activity inference") (description "This package provides a function to infer pathway activity from gene expression. It contains the linear model inferred in the publication \"Perturbation-response genes reveal signaling footprints in cancer gene expression\".") (license license:asl2.0))) (define-public r-arrmnormalization (package (name "r-arrmnormalization") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ARRmNormalization" version)) (sha256 (base32 "1fd1pfw2ggqb0k2npvibfy8liix57m01cxfxp10shvfbzjjy4wjm")))) (properties `((upstream-name . "ARRmNormalization"))) (build-system r-build-system) (propagated-inputs (list r-arrmdata)) (home-page "https://bioconductor.org/packages/ARRmNormalization/") (synopsis "Adaptive robust regression normalization for methylation data") (description "This is a package to perform the @dfn{Adaptive Robust Regression method} (ARRm) for the normalization of methylation data from the Illumina Infinium HumanMethylation 450k assay.") (license license:artistic2.0))) (define-public r-biocfilecache (package (name "r-biocfilecache") (version "2.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocFileCache" version)) (sha256 (base32 "044kh1rfgb608y2v4wzbzddirhw5crj3k6i28wr78qgnzqc89mdm")))) (properties `((upstream-name . "BiocFileCache"))) (build-system r-build-system) (propagated-inputs (list r-curl r-dbi r-dbplyr r-dplyr r-filelock r-httr r-rsqlite)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocFileCache/") (synopsis "Manage files across sessions") (description "This package creates a persistent on-disk cache of files that the user can add, update, and retrieve. It is useful for managing resources (such as custom Txdb objects) that are costly or difficult to create, web resources, and data files used across sessions.") (license license:artistic2.0))) (define-public r-iclusterplus (package (name "r-iclusterplus") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "iClusterPlus" version)) (sha256 (base32 "0p56w6431jg921416dkyiykccvr7alq6x6r1gcx5d9hkcpyncks1")))) (properties `((upstream-name . "iClusterPlus"))) (build-system r-build-system) (native-inputs (list gfortran)) (home-page "https://bioconductor.org/packages/iClusterPlus/") (synopsis "Integrative clustering of multi-type genomic data") (description "iClusterPlus is developed for integrative clustering analysis of multi-type genomic data and is an enhanced version of iCluster proposed and developed by Shen, Olshen and Ladanyi (2009). Multi-type genomic data arise from the experiments where biological samples (e.g. tumor samples) are analyzed by multiple techniques, for instance, @dfn{array comparative genomic hybridization} (aCGH), gene expression microarray, RNA-seq and DNA-seq, and so on. In the iClusterPlus model, binary observations such as somatic mutation are modeled as Binomial processes; categorical observations such as copy number states are realizations of Multinomial random variables; counts are modeled as Poisson random processes; and continuous measures are modeled by Gaussian distributions.") (license license:gpl2+))) (define-public r-rbowtie (package (name "r-rbowtie") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rbowtie" version)) (sha256 (base32 "1arwr8gisc5g9bwxlachf3lvxpd2767ahnwdf2p1lidwpfism8l8")))) (properties `((upstream-name . "Rbowtie"))) (build-system r-build-system) (arguments `(#:phases ;; Disable unsupported `popcnt' instructions on ;; architectures other than x86_64 ,(if (string-prefix? "x86_64" (or (%current-target-system) (%current-system))) '%standard-phases '(modify-phases %standard-phases (add-after 'unpack 'patch-sources (lambda _ (setenv "POPCNT_CAPABILITY" "0"))))))) (inputs (list zlib)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Rbowtie/") (synopsis "R bowtie wrapper") (description "This package provides an R wrapper around the popular bowtie short read aligner and around SpliceMap, a de novo splice junction discovery and alignment tool.") (license license:artistic2.0))) (define-public r-sgseq (package (name "r-sgseq") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SGSeq" version)) (sha256 (base32 "1h44r0frrw54s9nqa539ifg270ggmm634gj9cyhn4z7nhxxh134c")))) (properties `((upstream-name . "SGSeq"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-biostrings r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-igraph r-iranges r-rsamtools r-rtracklayer r-runit r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/SGSeq/") (synopsis "Splice event prediction and quantification from RNA-seq data") (description "SGSeq is a package for analyzing splice events from RNA-seq data. Input data are RNA-seq reads mapped to a reference genome in BAM format. Genes are represented as a splice graph, which can be obtained from existing annotation or predicted from the mapped sequence reads. Splice events are identified from the graph and are quantified locally using structurally compatible reads at the start or end of each splice variant. The software includes functions for splice event prediction, quantification, visualization and interpretation.") (license license:artistic2.0))) (define-public r-rhisat2 (package (name "r-rhisat2") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rhisat2" version)) (sha256 (base32 "1pxlpwqzbdii0b1swy9vcq905934yfmyqwfx2j3f7n5n4dgglc2q")))) (properties `((upstream-name . "Rhisat2"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'make-reproducible (lambda _ (substitute* "src/Makefile" (("`hostname`") "guix") (("`date`") "0") ;; Avoid shelling out to "which". (("^CC =.*") (which "gcc")) (("^CPP =.*") (which "g++"))) #t))))) (propagated-inputs (list r-genomicfeatures r-genomicranges r-sgseq)) (native-inputs (list r-knitr)) (home-page "https://github.com/fmicompbio/Rhisat2") (synopsis "R Wrapper for HISAT2 sequence aligner") (description "This package provides an R interface to the HISAT2 spliced short-read aligner by Kim et al. (2015). The package contains wrapper functions to create a genome index and to perform the read alignment to the generated index.") (license license:gpl3))) (define-public r-quasr (package (name "r-quasr") (version "1.42.1") (source (origin (method url-fetch) (uri (bioconductor-uri "QuasR" version)) (sha256 (base32 "0695pjvp742qn629kxly4a9crbg6vakdx1ygnyshprjsz6xz2vnn")))) (properties `((upstream-name . "QuasR"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-genomeinfodb r-genomicfeatures r-genomicfiles r-genomicranges r-iranges r-rbowtie r-rhtslib r-rsamtools r-rtracklayer r-s4vectors r-shortread)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/QuasR/") (synopsis "Quantify and annotate short reads in R") (description "This package provides a framework for the quantification and analysis of short genomic reads. It covers a complete workflow starting from raw sequence reads, over creation of alignments and quality control plots, to the quantification of genomic regions of interest.") (license license:gpl2))) (define-public r-rqc (package (name "r-rqc") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rqc" version)) (sha256 (base32 "0hrhfgv0b9ycw2vmzkpmrv9m9jvvq1n6asnxnrgvzlz81xak84ic")))) (properties `((upstream-name . "Rqc"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-biocstyle r-biostrings r-biovizbase r-genomicalignments r-genomicfiles r-ggplot2 r-iranges r-knitr r-markdown r-plyr r-rcpp r-reshape2 r-rsamtools r-s4vectors r-shiny r-shortread)) (native-inputs (list r-knitr)) (home-page "https://github.com/labbcb/Rqc") (synopsis "Quality control tool for high-throughput sequencing data") (description "Rqc is an optimized tool designed for quality control and assessment of high-throughput sequencing data. It performs parallel processing of entire files and produces a report which contains a set of high-resolution graphics.") (license license:gpl2+))) (define-public r-birewire (package (name "r-birewire") (version "3.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiRewire" version)) (sha256 (base32 "1h5pmd38b9zpbz1nngmk1s0cag4z0vx93yi2n7r85nca9z02cxad")))) (properties `((upstream-name . "BiRewire"))) (build-system r-build-system) (propagated-inputs (list r-igraph r-matrix r-rtsne r-slam)) (home-page "https://bioconductor.org/packages/release/bioc/html/BiRewire.html") (synopsis "Tools for randomization of bipartite graphs") (description "This package provides functions for bipartite network rewiring through N consecutive switching steps and for the computation of the minimal number of switching steps to be performed in order to maximise the dissimilarity with respect to the original network. It includes functions for the analysis of the introduced randomness across the switching steps and several other routines to analyse the resulting networks and their natural projections.") (license license:gpl3))) (define-public r-birta (package (name "r-birta") (version "1.31.0") (source (origin (method url-fetch) (uri (bioconductor-uri "birta" version)) (sha256 (base32 "00a1kcfmcgdbx6wpnhk45wm45bynhry5m93l9hm75j2rwyc4lnca")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-limma r-mass)) (home-page "https://bioconductor.org/packages/birta") (synopsis "Bayesian inference of regulation of transcriptional activity") (description "Expression levels of mRNA molecules are regulated by different processes, comprising inhibition or activation by transcription factors and post-transcriptional degradation by microRNAs. @dfn{birta} (Bayesian Inference of Regulation of Transcriptional Activity) uses the regulatory networks of transcription factors and miRNAs together with mRNA and miRNA expression data to predict switches in regulatory activity between two conditions. A Bayesian network is used to model the regulatory structure and Markov-Chain-Monte-Carlo is applied to sample the activity states.") (license license:gpl2+))) (define-public r-multidataset (package (name "r-multidataset") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MultiDataSet" version)) (sha256 (base32 "1n17bpzj95hkljvgqpyv92jm4bk1d3j3mdg7106pb3dffvwv52sk")))) (properties `((upstream-name . "MultiDataSet"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-genomicranges r-ggplot2 r-ggrepel r-iranges r-limma r-qqman r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/MultiDataSet/") (synopsis "Implementation of MultiDataSet and ResultSet") (description "This package provides an implementation of the BRGE's (Bioinformatic Research Group in Epidemiology from Center for Research in Environmental Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for integrating multi omics data sets and ResultSet is a container for omics results. This package contains base classes for MEAL and rexposome packages.") (license license:expat))) (define-public r-ropls (package (name "r-ropls") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ropls" version)) (sha256 (base32 "1k3j1cbapzqk0qr3v4gijskp487xyz2n4lv4kia9y5pmplddxp7v")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-ggplot2 r-multiassayexperiment r-multidataset r-plotly r-summarizedexperiment)) (native-inputs (list r-knitr)) ; for vignettes (home-page "https://dx.doi.org/10.1021/acs.jproteome.5b00354") (synopsis "Multivariate analysis and feature selection of omics data") (description "Latent variable modeling with @dfn{Principal Component Analysis} (PCA) and @dfn{Partial Least Squares} (PLS) are powerful methods for visualization, regression, classification, and feature selection of omics data where the number of variables exceeds the number of samples and with multicollinearity among variables. @dfn{Orthogonal Partial Least Squares} (OPLS) enables to separately model the variation correlated (predictive) to the factor of interest and the uncorrelated (orthogonal) variation. While performing similarly to PLS, OPLS facilitates interpretation. This package provides imlementations of PCA, PLS, and OPLS for multivariate analysis and feature selection of omics data. In addition to scores, loadings and weights plots, the package provides metrics and graphics to determine the optimal number of components (e.g. with the R2 and Q2 coefficients), check the validity of the model by permutation testing, detect outliers, and perform feature selection (e.g. with Variable Importance in Projection or regression coefficients).") (license license:cecill))) (define-public r-biosigner (package (name "r-biosigner") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biosigner" version)) (sha256 (base32 "1j3wkqvha6pzd6d3wm2q4lihn8p9ycw0wmddjqpnqvglb1x7c0f8")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-e1071 r-multiassayexperiment r-multidataset r-randomforest r-ropls r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/biosigner/") (synopsis "Signature discovery from omics data") (description "Feature selection is critical in omics data analysis to extract restricted and meaningful molecular signatures from complex and high-dimension data, and to build robust classifiers. This package implements a method to assess the relevance of the variables for the prediction performances of the classifier. The approach can be run in parallel with the PLS-DA, Random Forest, and SVM binary classifiers. The signatures and the corresponding 'restricted' models are returned, enabling future predictions on new datasets.") (license license:cecill))) (define-public r-annotatr (package (name "r-annotatr") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annotatr" version)) (sha256 (base32 "16nkxnbsmr0y6km794x2iwbkyrkf0svg6ln3qkqnw0a47a3cbm65")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationhub r-dplyr r-genomeinfodb r-genomicfeatures r-genomicranges r-ggplot2 r-iranges r-readr r-regioner r-reshape2 r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/annotatr/") (synopsis "Annotation of genomic regions to genomic annotations") (description "Given a set of genomic sites/regions (e.g. ChIP-seq peaks, CpGs, differentially methylated CpGs or regions, SNPs, etc.) it is often of interest to investigate the intersecting genomic annotations. Such annotations include those relating to gene models (promoters, 5'UTRs, exons, introns, and 3'UTRs), CpGs (CpG islands, CpG shores, CpG shelves), or regulatory sequences such as enhancers. The annotatr package provides an easy way to summarize and visualize the intersection of genomic sites/regions with genomic annotations.") (license license:gpl3))) (define-public r-rsubread (package (name "r-rsubread") (version "2.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rsubread" version)) (sha256 (base32 "0bhq8q3dch09r3digf3snfvhyj6w7j1qqw8gl28b29in8azg6v4d")))) (properties `((upstream-name . "Rsubread"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-matrix)) (home-page "https://bioconductor.org/packages/Rsubread/") (synopsis "Subread sequence alignment and counting for R") (description "This package provides tools for alignment, quantification and analysis of second and third generation sequencing data. It includes functionality for read mapping, read counting, SNP calling, structural variant detection and gene fusion discovery. It can be applied to all major sequencing techologies and to both short and long sequence reads.") (license license:gpl3))) (define-public r-flames (package (name "r-flames") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FLAMES" version)) (sha256 (base32 "0937zag0h4bvpapld267s5gz36h8zgjrgvbng9m7czdd8w6064ns")))) (properties `((upstream-name . "FLAMES"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'fix-build-system (lambda _ ;; One target uses & instead of &&, which leads to a command ;; being run despite the check failing. (substitute* "src/Makevars" ((" & ") " && "))))))) (propagated-inputs (list r-bambu r-basilisk r-biocgenerics r-biostrings r-circlize r-complexheatmap r-cowplot r-dplyr r-dropletutils r-future r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-ggbio r-ggplot2 r-gridextra r-igraph r-jsonlite r-magrittr r-matrix r-multiassayexperiment r-rcolorbrewer r-rcpp r-reticulate r-rhtslib r-rsamtools r-rtracklayer r-s4vectors r-scater r-scran r-scuttle r-singlecellexperiment r-stringr r-summarizedexperiment r-tidyr r-withr r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://github.com/OliverVoogd/FLAMES") (synopsis "Full Length Analysis of Mutations and Splicing in long read RNA-seq data") (description "This is a package for semi-supervised isoform detection and annotation from both bulk and single-cell long read RNA-seq data. Flames provides automated pipelines for analysing isoforms, as well as intermediate functions for manual execution.") (license license:gpl2+))) (define-public r-flowai (package (name "r-flowai") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowAI" version)) (sha256 (base32 "1bi13f8q7267lai71sl640w9zgd5a1iln5r4ri2dcskkwb2qxzkz")))) (properties `((upstream-name . "flowAI"))) (build-system r-build-system) (propagated-inputs (list r-changepoint r-flowcore r-ggplot2 r-knitr r-plyr r-rcolorbrewer r-reshape2 r-rmarkdown r-scales)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/flowAI") (synopsis "Automatic and interactive quality control for flow cytometry data") (description "This package is able to perform an automatic or interactive quality control on FCS data acquired using flow cytometry instruments. By evaluating three different properties: @enumerate @item flow rate @item signal acquisition, and @item dynamic range, @end enumerate the quality control enables the detection and removal of anomalies.") (license license:gpl2+))) (define-public r-flowutils (package (name "r-flowutils") (version "1.59.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowUtils" version)) (sha256 (base32 "11x362dqb9mjlsbq6g1qkb8hhnkvm22z5s3wkgmpyy9kyifjkm26")))) (properties `((upstream-name . "flowUtils"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-corpcor r-flowcore r-graph r-runit r-xml)) (home-page "https://github.com/jspidlen/flowUtils") (synopsis "Utilities for flow cytometry") (description "This package provides utilities for flow cytometry data.") (license license:artistic2.0))) (define-public r-consensusclusterplus (package (name "r-consensusclusterplus") (version "1.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ConsensusClusterPlus" version)) (sha256 (base32 "11xcz9b4mg3inz8c8f2vckgai67s740qjyynjim4ahf9zd0j7rxs")))) (properties `((upstream-name . "ConsensusClusterPlus"))) (build-system r-build-system) (propagated-inputs (list r-all r-biobase r-cluster)) (home-page "https://bioconductor.org/packages/ConsensusClusterPlus") (synopsis "Clustering algorithm") (description "This package provides an implementation of an algorithm for determining cluster count and membership by stability evidence in unsupervised analysis.") (license license:gpl2))) ;; This is the latest commit and it solves a bug from the latest release. (define-public r-cycombine (let ((commit "f18504bc83ff5daee2b5eb4b28f09abdaaa66698") (revision "1")) (package (name "r-cycombine") (version (git-version "0.2.6" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/biosurf/cyCombine") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "1fiwnik8iahg01732fik85xhz359x32f1xc59h443pdf7jancskm")))) (properties `((upstream-name . "cyCombine"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-cytolib r-dplyr r-flowcore r-ggplot2 r-knitr r-kohonen r-magrittr r-purrr r-rcolorbrewer r-readr r-readxl r-stringr r-sva r-tibble r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/biosurf/cyCombine") (synopsis "Integration of single-cell cytometry datasets") (description "This package provides a method for combining single-cell cytometry datasets, which increases the analytical flexibility and the statistical power of the analyses while minimizing technical noise.") (license license:expat)))) ;; This package bundles a version of Boost. We cannot use the latest version ;; of Boost here, as we also need to make sure that the BH (r-bh) package is ;; compatible with whatever this package bundles. (define-public r-cytolib (package (name "r-cytolib") (version "2.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "cytolib" version)) (sha256 (base32 "1kagik93ddcl3m1i2bqzzlh18lbxywfn3pxmp47p45kayzxzldrf")))) (properties `((upstream-name . "cytolib"))) (build-system r-build-system) (inputs (list openblas protobuf zlib)) (native-inputs (list r-knitr)) (propagated-inputs (list r-bh r-rhdf5lib r-rprotobuflib)) (home-page "https://bioconductor.org/packages/cytolib/") (synopsis "C++ infrastructure for working with gated cytometry") (description "This package provides the core data structure and API to represent and interact with gated cytometry data.") (license license:artistic2.0))) (define-public r-flowcore (package (name "r-flowcore") (version "2.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowCore" version)) (sha256 (base32 "11aic1nzlw0gdpcpmky5jzljxgxcrimi29f0zl3yjvgb48qa88bd")))) (properties `((upstream-name . "flowCore"))) (build-system r-build-system) (propagated-inputs (list r-bh r-biobase r-biocgenerics r-cpp11 r-cytolib r-matrixstats r-rcpp r-rprotobuflib r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/flowCore") (synopsis "Basic structures for flow cytometry data") (description "This package provides S4 data structures and basic functions to deal with flow cytometry data.") (license license:artistic2.0))) (define-public r-flowmeans (package (name "r-flowmeans") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowMeans" version)) (sha256 (base32 "06n35c5fdkd3l8d5q8a23yslanirwhbf07b4f0zmf9a43zi642bv")))) (properties `((upstream-name . "flowMeans"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-feature r-flowcore r-rrcov)) (home-page "https://bioconductor.org/packages/flowMeans") (synopsis "Non-parametric flow cytometry data gating") (description "This package provides tools to identify cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection.") (license license:artistic2.0))) (define-public r-ncdfflow (package (name "r-ncdfflow") (version "2.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ncdfFlow" version)) (sha256 (base32 "0z9vgd8v69iq8gv23iiaxrk77j2aq8y2n5k8x9jmxphbm0cm19a0")))) (properties `((upstream-name . "ncdfFlow"))) (build-system r-build-system) (propagated-inputs (list r-bh r-biobase r-biocgenerics r-cpp11 r-flowcore r-rhdf5lib r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ncdfFlow/") (synopsis "HDF5 based storage for flow cytometry data") (description "This package provides HDF5 storage based methods and functions for manipulation of flow cytometry data.") (license license:artistic2.0))) (define-public r-ggcyto (package (name "r-ggcyto") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ggcyto" version)) (sha256 (base32 "13zc5952drl187fl07v1nh6gv0g6ba11vxpxl4ghvavnknvi5phd")))) (properties `((upstream-name . "ggcyto"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-flowcore r-flowworkspace r-ggplot2 r-gridextra r-hexbin r-ncdfflow r-plyr r-rcolorbrewer r-rlang r-scales)) (native-inputs (list r-knitr)) (home-page "https://github.com/RGLab/ggcyto/issues") (synopsis "Visualize Cytometry data with ggplot") (description "With the dedicated fortify method implemented for @code{flowSet}, @code{ncdfFlowSet} and @code{GatingSet} classes, both raw and gated flow cytometry data can be plotted directly with ggplot. The @code{ggcyto} wrapper and some custom layers also make it easy to add gates and population statistics to the plot.") (license license:artistic2.0))) (define-public r-flowviz (package (name "r-flowviz") (version "1.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowViz" version)) (sha256 (base32 "1hn021p2220a47qzlya8qabc9xgmxk9gcs505m7wx6gx6ysdn418")))) (properties `((upstream-name . "flowViz"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-flowcore r-hexbin r-idpmisc r-kernsmooth r-lattice r-latticeextra r-mass r-rcolorbrewer)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/flowViz/") (synopsis "Visualization for flow cytometry") (description "This package provides visualization tools for flow cytometry data.") (license license:artistic2.0))) (define-public r-flowclust (package (name "r-flowclust") (version "3.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowClust" version)) (sha256 (base32 "1xg0hdxh0c1c1wc6d8gcynq8168hi61c3gjdf1223qvqwc39nsby")))) (properties `((upstream-name . "flowClust"))) (build-system r-build-system) (arguments `(#:configure-flags (list "--configure-args=--enable-bundled-gsl=no"))) (propagated-inputs (list r-biobase r-biocgenerics r-flowcore r-graph)) (inputs (list gsl)) (native-inputs (list pkg-config r-knitr)) (home-page "https://bioconductor.org/packages/flowClust") (synopsis "Clustering for flow cytometry") (description "This package provides robust model-based clustering using a t-mixture model with Box-Cox transformation.") (license license:artistic2.0))) ;; TODO: this package bundles an old version of protobuf. It's not easy to ;; make it use our protobuf package instead. (define-public r-rprotobuflib (package (name "r-rprotobuflib") (version "2.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RProtoBufLib" version)) (sha256 (base32 "1i1a4ikfdyrrn0r53y1aipfm9dzzn6yzp5w651hvd6zav77cdh6q")))) (properties `((upstream-name . "RProtoBufLib"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'unpack-bundled-sources (lambda _ (with-directory-excursion "src" (invoke "tar" "xf" "protobuf-3.8.0.tar.gz"))))))) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/RProtoBufLib/") (synopsis "C++ headers and static libraries of Protocol buffers") (description "This package provides the headers and static library of Protocol buffers for other R packages to compile and link against.") (license license:bsd-3))) (define-public r-flowworkspace (package (name "r-flowworkspace") (version "4.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "flowWorkspace" version)) (sha256 (base32 "0sbixbq99kmhh0ppdid1hqhb75yxb6gsm5pdz75y67i3pgwrv1sj")))) (properties `((upstream-name . "flowWorkspace"))) (build-system r-build-system) (propagated-inputs (list r-bh r-biobase r-biocgenerics r-cpp11 r-cytolib r-data-table r-delayedarray r-dplyr r-flowcore r-ggplot2 r-graph r-matrixstats r-ncdfflow r-rbgl r-rgraphviz r-rhdf5lib r-rprotobuflib r-s4vectors r-scales r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/flowWorkspace/") (synopsis "Infrastructure for working with cytometry data") (description "This package is designed to facilitate comparison of automated gating methods against manual gating done in flowJo. This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the @code{flowCore} functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.") (license license:artistic2.0))) (define-public r-flowstats (package (name "r-flowstats") (version "4.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowStats" version)) (sha256 (base32 "1f7qawn9wb8221npnmmygmvi4w1rq5lb74j3vmfzcak5kyga5xck")))) (properties `((upstream-name . "flowStats"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-clue r-cluster r-corpcor r-fda r-flowcore r-flowviz r-flowworkspace r-kernsmooth r-ks r-lattice r-mass r-mnormt r-ncdfflow r-rcolorbrewer r-rrcov)) (home-page "http://www.github.com/RGLab/flowStats") (synopsis "Statistical methods for the analysis of flow cytometry data") (description "This package provides methods and functionality to analyze flow data that is beyond the basic infrastructure provided by the @code{flowCore} package.") (license license:artistic2.0))) (define-public r-opencyto (package (name "r-opencyto") (version "2.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "openCyto" version)) (sha256 (base32 "12b4a65zgswzddkfdyl4j06qp7w9lkxv4h05m4z8hfff8c9x5bls")))) (properties `((upstream-name . "openCyto"))) (build-system r-build-system) (propagated-inputs (list r-bh r-biobase r-biocgenerics r-cpp11 r-data-table r-flowclust r-flowcore r-flowviz r-flowworkspace r-graph r-ncdfflow r-rbgl r-rcolorbrewer)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/openCyto") (synopsis "Hierarchical gating pipeline for flow cytometry data") (description "This package is designed to facilitate the automated gating methods in a sequential way to mimic the manual gating strategy.") (license license:artistic2.0))) (define-public r-cytoml (package (name "r-cytoml") (version "2.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CytoML" version)) (sha256 (base32 "0wq9ganas6l2jw8bnajr7vwli35kykpgv2lca4qh79nfgxlicff9")))) (properties `((upstream-name . "CytoML"))) (build-system r-build-system) (inputs (list libxml2 #;zlib )) (propagated-inputs (list r-bh r-biobase r-cpp11 r-cytolib r-data-table r-dplyr r-flowcore r-flowworkspace r-ggcyto r-graph r-jsonlite r-opencyto r-rbgl r-rgraphviz r-rhdf5lib r-rprotobuflib r-tibble r-xml r-yaml)) (native-inputs (list r-knitr)) (home-page "https://github.com/RGLab/CytoML") (synopsis "GatingML interface for cross platform cytometry data sharing") (description "This package provides an interface to implementations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.") (license license:artistic2.0))) (define-public r-flowsom (package (name "r-flowsom") (version "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FlowSOM" version)) (sha256 (base32 "170xz3b4kfsxpqirfz9vk4j8dkdmz4qd0a1nm3yaya1rddpg9m3l")))) (properties `((upstream-name . "FlowSOM"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-colorramps r-consensusclusterplus r-dplyr r-flowcore r-ggforce r-ggnewscale r-ggplot2 r-ggpubr r-igraph r-magrittr r-rlang r-rtsne r-tidyr r-xml)) (home-page "https://bioconductor.org/packages/FlowSOM/") (synopsis "Visualize and interpret cytometry data") (description "FlowSOM offers visualization options for cytometry data, by using self-organizing map clustering and minimal spanning trees.") (license license:gpl2+))) (define-public r-mixomics (package (name "r-mixomics") (version "6.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mixOmics" version)) (sha256 (base32 "0ifi89s611kblncnpvsrbl6sq2zi36binz63njrhya9wkyaxj6pc")))) (properties `((upstream-name . "mixOmics"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-corpcor r-dplyr r-ellipse r-ggplot2 r-ggrepel r-gridextra r-igraph r-lattice r-mass r-matrixstats r-rarpack r-rcolorbrewer r-reshape2 r-tidyr)) (native-inputs (list r-knitr)) (home-page "http://www.mixOmics.org") (synopsis "Multivariate methods for exploration of biological datasets") (description "mixOmics offers a wide range of multivariate methods for the exploration and integration of biological datasets with a particular focus on variable selection. The package proposes several sparse multivariate models we have developed to identify the key variables that are highly correlated, and/or explain the biological outcome of interest. The data that can be analysed with mixOmics may come from high throughput sequencing technologies, such as omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but also beyond the realm of omics (e.g. spectral imaging). The methods implemented in mixOmics can also handle missing values without having to delete entire rows with missing data.") (license license:gpl2+))) (define-public r-depecher (package ;Source/Weave error (name "r-depecher") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DepecheR" version)) (sha256 (base32 "1b3c1wg5xnhh4bdcjls26j6nsp0vx1g5y3grqv7x4ds01vmh3q2w")))) (properties `((upstream-name . "DepecheR"))) (build-system r-build-system) (propagated-inputs (list r-beanplot r-collapse r-dosnow r-dplyr r-fnn r-foreach r-ggplot2 r-gmodels r-gplots r-mass r-matrixstats r-mixomics r-moments r-rcpp r-rcppeigen r-reshape2 r-robustbase r-viridis)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/DepecheR/") (synopsis "Identify traits of clusters in high-dimensional entities") (description "The purpose of this package is to identify traits in a dataset that can separate groups. This is done on two levels. First, clustering is performed, using an implementation of sparse K-means. Secondly, the generated clusters are used to predict outcomes of groups of individuals based on their distribution of observations in the different clusters. As certain clusters with separating information will be identified, and these clusters are defined by a sparse number of variables, this method can reduce the complexity of data, to only emphasize the data that actually matters.") (license license:expat))) (define-public r-rcistarget (package (name "r-rcistarget") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RcisTarget" version)) (sha256 (base32 "0dp2y85mfn995rvg698xnxlkz1kd8g0byjypxx62cpfldnkrinxl")))) (properties `((upstream-name . "RcisTarget"))) (build-system r-build-system) (propagated-inputs (list r-arrow r-aucell r-biocgenerics r-data-table r-dplyr r-genomeinfodb r-genomicranges r-gseabase r-r-utils r-s4vectors r-summarizedexperiment r-tibble)) (native-inputs (list r-knitr)) (home-page "https://aertslab.org/#scenic") (synopsis "Identify transcription factor binding motifs enriched on a gene list") (description "RcisTarget identifies @dfn{transcription factor binding motifs} (TFBS) over-represented on a gene list. In a first step, RcisTarget selects DNA motifs that are significantly over-represented in the surroundings of the @dfn{transcription start site} (TSS) of the genes in the gene-set. This is achieved by using a database that contains genome-wide cross-species rankings for each motif. The motifs that are then annotated to TFs and those that have a high @dfn{Normalized Enrichment Score} (NES) are retained. Finally, for each motif and gene-set, RcisTarget predicts the candidate target genes (i.e. genes in the gene-set that are ranked above the leading edge).") (license license:gpl3))) (define-public r-chicago (package (name "r-chicago") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Chicago" version)) (sha256 (base32 "1mcpx785ag0jcsh08df34hx3wp55zd1vggnl3fflkinb78178n38")))) (properties `((upstream-name . "Chicago"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-delaporte r-hmisc r-mass r-matrixstats)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Chicago") (synopsis "Capture Hi-C analysis of genomic organization") (description "This package provides a pipeline for analysing Capture Hi-C data.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on Bioconductor packages, so we put ;; it here. (define-public r-ciara (package (name "r-ciara") (version "0.1.0") (source (origin (method url-fetch) (uri (cran-uri "CIARA" version)) (sha256 (base32 "0nr7wks9231326x0lhpbh824c6vcb5hr5jn89s9bmg9mci907bsf")))) (properties `((upstream-name . "CIARA"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-ggplot2 r-ggraph r-magrittr)) (native-inputs (list r-knitr)) (home-page "https://cran.r-project.org/package=CIARA") (synopsis "Cluster-independent algorithm for rare cell types identification") (description "This is a package to support identification of markers of rare cell types by looking at genes whose expression is confined in small regions of the expression space.") (license license:artistic2.0))) (define-public r-cicero (package (name "r-cicero") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "cicero" version)) (sha256 (base32 "19vn31w74r45pq5m9pn5db1sz1qg757mghzzs933cdssnqf4m6y5")))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biobase r-biocgenerics r-data-table r-dplyr r-fnn r-genomicranges r-ggplot2 r-glasso r-gviz r-igraph r-iranges r-matrix r-monocle r-plyr r-reshape2 r-s4vectors r-stringi r-stringr r-tibble r-tidyr r-vgam)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/cicero/") (synopsis "Predict cis-co-accessibility from single-cell data") (description "Cicero computes putative cis-regulatory maps from single-cell chromatin accessibility data. It also extends the monocle package for use in chromatin accessibility data.") (license license:expat))) ;; This is the latest commit on the "monocle3" branch. (define-public r-cicero-monocle3 (let ((commit "fa2fb6515857a8cfc88bc9af044f34de1bcd2b7b") (revision "1")) (package (inherit r-cicero) (name "r-cicero-monocle3") (version (git-version "1.3.2" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/cole-trapnell-lab/cicero-release") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "077yza93wdhi08n40md20jwk55k9lw1f3y0063qkk90cpz60wi0c")))) (propagated-inputs (modify-inputs (package-propagated-inputs r-cicero) (delete "r-monocle") (prepend r-monocle3)))))) (define-public r-circrnaprofiler (package (name "r-circrnaprofiler") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "circRNAprofiler" version)) (sha256 (base32 "098fbrszph5cnh4n9zjhj92sg1bi6h6k57wm2vlaqkq0nab63r63")))) (properties `((upstream-name . "circRNAprofiler"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-biostrings r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-deseq2 r-dplyr r-edger r-genomeinfodb r-genomicranges r-ggplot2 r-gwascat r-iranges r-magrittr r-r-utils r-readr r-reshape2 r-rlang r-rtracklayer r-s4vectors r-seqinr r-stringi r-stringr r-universalmotif)) (native-inputs (list r-knitr)) (home-page "https://github.com/Aufiero/circRNAprofiler") (synopsis "Computational framework for the downstream analysis of circular RNA's") (description "@code{r-circrnaprofiler} is a computational framework for a comprehensive in silico analysis of @dfn{circular RNA} (circRNAs). This computational framework allows combining and analyzing circRNAs previously detected by multiple publicly available annotation-based circRNA detection tools. It covers different aspects of circRNAs analysis from differential expression analysis, evolutionary conservation, biogenesis to functional analysis.") (license license:gpl3))) (define-public r-cistopic (package (name "r-cistopic") (version "2.1.0") (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/aertslab/cisTopic") (commit (string-append "v" version)))) (file-name (git-file-name name version)) (sha256 (base32 "0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf")))) (build-system r-build-system) (propagated-inputs (list r-aucell r-data-table r-dplyr r-dosnow r-dt r-feather r-fitdistrplus r-genomicranges r-ggplot2 r-lda r-matrix r-plyr r-rcistarget r-rtracklayer r-s4vectors)) (home-page "https://github.com/aertslab/cisTopic") (synopsis "Modelling of cis-regulatory topics from single cell epigenomics data") (description "The sparse nature of single cell epigenomics data can be overruled using probabilistic modelling methods such as @dfn{Latent Dirichlet Allocation} (LDA). This package allows the probabilistic modelling of cis-regulatory topics (cisTopics) from single cell epigenomics data, and includes functionalities to identify cell states based on the contribution of cisTopics and explore the nature and regulatory proteins driving them.") (license license:gpl3))) (define-public r-cistopic-next (let ((commit "04cecbb9d1112fcc1a6edc28b5a506bcb49f2803") (revision "1")) (package (inherit r-cistopic) (name "r-cistopic-next") ;; The DESCRIPTION file says this is version 0.3.0, which is a bit odd ;; since the previous release is 2.1.0. Oh well. (version (git-version "0.3.0" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/aertslab/cisTopic") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "11cg9szlysnsjiaahda4k5v2vh4rxx27zhz53hafgaq9mdz0kgi2")))) (properties `((upstream-name . "cisTopic"))) (propagated-inputs (list r-aucell r-data-table r-dosnow r-dplyr r-dt r-feather r-fitdistrplus r-genomicranges r-ggplot2 r-lda r-matrix r-plyr r-rcistarget r-rtracklayer r-s4vectors r-text2vec)) (native-inputs (list r-knitr))))) (define-public r-genie3 (package (name "r-genie3") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GENIE3" version)) (sha256 (base32 "0bsid8qhcqgalqghr2b2592pzm4viyi7wq8h5dmhrrl7gky8l60k")))) (properties `((upstream-name . "GENIE3"))) (build-system r-build-system) (propagated-inputs (list r-dplyr r-reshape2)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/GENIE3") (synopsis "Gene network inference with ensemble of trees") (description "This package implements the GENIE3 algorithm for inferring gene regulatory networks from expression data.") (license license:gpl2+))) (define-public r-roc (package (name "r-roc") (version "1.78.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ROC" version)) (sha256 (base32 "12msc6skvcx4ajk20l71k32rj8lsiafjxwcsrd51kyy5x2yj2v4m")))) (properties `((upstream-name . "ROC"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://www.bioconductor.org/packages/ROC/") (synopsis "Utilities for ROC curves") (description "This package provides utilities for @dfn{Receiver Operating Characteristic} (ROC) curves, with a focus on micro arrays.") (license license:artistic2.0))) (define-public r-watermelon (package (name "r-watermelon") (version "2.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wateRmelon" version)) (sha256 (base32 "1ra21qzni9cny52ag9zxi46vb9grabyqjyk01dqqp3r9i0b4999l")))) (properties `((upstream-name . "wateRmelon"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-illuminahumanmethylation450kanno-ilmn12-hg19 r-illuminaio r-limma r-lumi r-matrixstats r-methylumi r-roc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/wateRmelon/") (synopsis "Illumina 450 methylation array normalization and metrics") (description "The standard index of DNA methylation (beta) is computed from methylated and unmethylated signal intensities. Betas calculated from raw signal intensities perform well, but using 11 methylomic datasets we demonstrate that quantile normalization methods produce marked improvement. The commonly used procedure of normalizing betas is inferior to the separate normalization of M and U, and it is also advantageous to normalize Type I and Type II assays separately. This package provides 15 flavours of betas and three performance metrics, with methods for objects produced by the @code{methylumi} and @code{minfi} packages.") (license license:gpl3))) (define-public r-gdsfmt (package (name "r-gdsfmt") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gdsfmt" version)) (sha256 (base32 "03qgiww523kijrkciln3fw3djn20rnvwz2j0i3p518h6fbl7vlpm")) (modules '((guix build utils))) ;; Remove bundled sources of zlib, lz4, and xz. Don't attempt to build ;; them and link with system libraries instead. (snippet '(begin (for-each delete-file-recursively '("src/LZ4" "src/XZ" "src/ZLIB")) (substitute* "src/Makevars" (("all: \\$\\(SHLIB\\)") "all:") (("\\$\\(SHLIB\\): liblzma.a") "") (("^ (ZLIB|LZ4)/.*") "") (("CoreArray/dVLIntGDS.cpp.*") "CoreArray/dVLIntGDS.cpp") (("CoreArray/dVLIntGDS.o.*") "CoreArray/dVLIntGDS.o") (("PKG_LIBS = ./liblzma.a") "PKG_LIBS = -llz4")) (substitute* "src/CoreArray/dStream.h" (("include \"../(ZLIB|LZ4|XZ/api)/(.*)\"" _ _ header) (string-append "include <" header ">"))))))) (properties `((upstream-name . "gdsfmt") (updater-extra-inputs . ("lz4" "xz" "zlib")))) (build-system r-build-system) (inputs (list lz4 xz zlib)) (native-inputs (list r-knitr)) (home-page "http://corearray.sourceforge.net/") (synopsis "R Interface to CoreArray Genomic Data Structure (GDS) Files") (description "This package provides a high-level R interface to CoreArray @dfn{Genomic Data Structure} (GDS) data files, which are portable across platforms with hierarchical structure to store multiple scalable array-oriented data sets with metadata information. It is suited for large-scale datasets, especially for data which are much larger than the available random-access memory. The @code{gdsfmt} package offers efficient operations specifically designed for integers of less than 8 bits, since a diploid genotype, like @dfn{single-nucleotide polymorphism} (SNP), usually occupies fewer bits than a byte. Data compression and decompression are available with relatively efficient random access. It is also allowed to read a GDS file in parallel with multiple R processes supported by the package @code{parallel}.") (license license:lgpl3))) (define-public r-bigmelon (package (name "r-bigmelon") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bigmelon" version)) (sha256 (base32 "1j80f7k39p23s6fym3nia73g8d1v44hdiv73igcq6fnsllxg40hr")))) (properties `((upstream-name . "bigmelon"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-gdsfmt r-geoquery r-illuminaio r-methylumi r-minfi r-watermelon)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/bigmelon/") (synopsis "Illumina methylation array analysis for large experiments") (description "This package provides methods for working with Illumina arrays using the @code{gdsfmt} package.") (license license:gpl3))) (define-public r-seqbias (package (name "r-seqbias") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "seqbias" version)) (sha256 (base32 "18pdpi855y1hhka96xc5886nqffjn1jhz9jr9p305iikdrsvmjp1")))) (properties `((upstream-name . "seqbias"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomicranges r-rhtslib r-zlibbioc)) (home-page "https://bioconductor.org/packages/seqbias/") (synopsis "Estimation of per-position bias in high-throughput sequencing data") (description "This package implements a model of per-position sequencing bias in high-throughput sequencing data using a simple Bayesian network, the structure and parameters of which are trained on a set of aligned reads and a reference genome sequence.") (license license:lgpl3))) (define-public r-reqon (package (name "r-reqon") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ReQON" version)) (sha256 (base32 "0w28b3ma8r8rshijdm5jj1z64v91my7hcvw18r9pdwjprh05bw0g")))) (properties `((upstream-name . "ReQON"))) (build-system r-build-system) (propagated-inputs (list r-rjava r-rsamtools r-seqbias)) (home-page "https://bioconductor.org/packages/ReQON/") (synopsis "Recalibrating quality of nucleotides") (description "This package provides an implementation of an algorithm for recalibrating the base quality scores for aligned sequencing data in BAM format.") (license license:gpl2))) (define-public r-wavcluster (package (name "r-wavcluster") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wavClusteR" version)) (sha256 (base32 "1y2bk1kla0l72xgdam2l9c0k7584ckdqscqnc184cxvqm6fb335j")))) (properties `((upstream-name . "wavClusteR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-foreach r-genomicfeatures r-genomicranges r-ggplot2 r-hmisc r-iranges r-mclust r-rsamtools r-rtracklayer r-s4vectors r-seqinr r-stringr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/wavClusteR/") (synopsis "Identification of RNA-protein interaction sites in PAR-CLIP data") (description "This package provides an integrated pipeline for the analysis of PAR-CLIP data. PAR-CLIP-induced transitions are first discriminated from sequencing errors, SNPs and additional non-experimental sources by a non- parametric mixture model. The protein binding sites (clusters) are then resolved at high resolution and cluster statistics are estimated using a rigorous Bayesian framework. Post-processing of the results, data export for UCSC genome browser visualization and motif search analysis are provided. In addition, the package integrates RNA-Seq data to estimate the False Discovery Rate of cluster detection. Key functions support parallel multicore computing. While wavClusteR was designed for PAR-CLIP data analysis, it can be applied to the analysis of other NGS data obtained from experimental procedures that induce nucleotide substitutions (e.g. BisSeq).") (license license:gpl2))) (define-public r-tilingarray (package (name "r-tilingarray") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tilingArray" version)) (sha256 (base32 "01j4wj0mdfrlyhp2alf1xfy78f17x43w9i0wb41ljw6pm313np58")))) (properties `((upstream-name . "tilingArray"))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-genefilter r-pixmap r-rcolorbrewer r-strucchange r-vsn)) (home-page "https://bioconductor.org/packages/tilingArray") (synopsis "Transcript mapping with high-density oligonucleotide tiling arrays") (description "The package provides functionality that can be useful for the analysis of the high-density tiling microarray data (such as from Affymetrix genechips) or for measuring the transcript abundance and the architecture. The main functionalities of the package are: @enumerate @item the class segmentation for representing partitionings of a linear series of data; @item the function segment for fitting piecewise constant models using a dynamic programming algorithm that is both fast and exact; @item the function @code{confint} for calculating confidence intervals using the @code{strucchange} package; @item the function @code{plotAlongChrom} for generating pretty plots; @item the function @code{normalizeByReference} for probe-sequence dependent response adjustment from a (set of) reference hybridizations. @end enumerate") (license license:artistic2.0))) (define-public r-timeseriesexperiment (package (name "r-timeseriesexperiment") (version "1.13.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TimeSeriesExperiment" version)) (sha256 (base32 "0bdpxxr739qdg92qabfx122k9f43vw2hyxp4yxqlbp37vzgcdf2c")))) (properties `((upstream-name . "TimeSeriesExperiment"))) (build-system r-build-system) (propagated-inputs (list r-deseq2 r-dplyr r-dynamictreecut r-edger r-ggplot2 r-hmisc r-limma r-magrittr r-proxy r-s4vectors r-summarizedexperiment r-tibble r-tidyr r-vegan r-viridis)) (native-inputs (list r-knitr)) (home-page "https://github.com/nlhuong/TimeSeriesExperiment/") (synopsis "Analysis for short time-series data") (description "This package is a visualization and analysis toolbox for short time course data which includes dimensionality reduction, clustering, two-sample differential expression testing and gene ranking techniques. The package also provides methods for retrieving enriched pathways.") (license license:lgpl3+))) (define-public r-variantfiltering (package (name "r-variantfiltering") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "VariantFiltering" version)) (sha256 (base32 "01czx88dzqm8qv44kyy1n7b999wgfklxzgvmjh10chf677phnzsr")))) (properties `((upstream-name . "VariantFiltering"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-dt r-genomeinfodb r-genomicfeatures r-genomicranges r-genomicscores r-graph r-gviz r-iranges r-rbgl r-rsamtools r-s4vectors r-shiny r-shinyjs r-shinythemes r-shinytree r-summarizedexperiment r-variantannotation r-xvector)) (home-page "https://github.com/rcastelo/VariantFiltering") (synopsis "Filtering of coding and non-coding genetic variants") (description "Filter genetic variants using different criteria such as inheritance model, amino acid change consequence, minor allele frequencies across human populations, splice site strength, conservation, etc.") (license license:artistic2.0))) (define-public r-variancepartition (package (name "r-variancepartition") (version "1.32.2") (source (origin (method url-fetch) (uri (bioconductor-uri "variancePartition" version)) (sha256 (base32 "0cmcg39a5939y517vhvwanqh1fwzyx6pbq47nc5cpswf7pn9cv5x")))) (properties `((upstream-name . "variancePartition"))) (build-system r-build-system) (propagated-inputs (list r-aod r-biobase r-biocparallel r-corpcor r-fancova r-ggplot2 r-gplots r-iterators r-limma r-lme4 r-lmertest r-mass r-matrix r-matrixstats r-pbkrtest r-rdpack r-remacor r-reshape2 r-rhpcblasctl r-rlang r-scales)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/variancePartition/") (synopsis "Analyze variation in gene expression experiments") (description "This is a package providing tools to quantify and interpret multiple sources of biological and technical variation in gene expression experiments. It uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. The package includes dream differential expression analysis for repeated measures.") (license license:gpl2+))) (define-public r-htqpcr (package (name "r-htqpcr") (version "1.56.0") (source (origin (method url-fetch) (uri (bioconductor-uri "HTqPCR" version)) (sha256 (base32 "14cff36ikbqhd5xizihpxzsv9jimcpbgnd381jd154pgi60bil0m")))) (properties `((upstream-name . "HTqPCR"))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-gplots r-limma r-rcolorbrewer)) (home-page (string-append "https://www.ebi.ac.uk/sites/ebi.ac.uk/files/" "groups/bertone/software/HTqPCR.pdf")) (synopsis "Automated analysis of high-throughput qPCR data") (description "Analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; conventional 96- or 384-well plates; or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).") (license license:artistic2.0))) (define-public r-ucell (package (name "r-ucell") (version "2.6.2") (source (origin (method url-fetch) (uri (bioconductor-uri "UCell" version)) (sha256 (base32 "00v4b91f7y3zyndbl4wlfay8wljnqypfc05vrw15yr62d9smd35d")))) (properties `((upstream-name . "UCell"))) (build-system r-build-system) (propagated-inputs (list r-biocneighbors r-biocparallel r-data-table r-matrix r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/carmonalab/UCell") (synopsis "Rank-based signature enrichment analysis for single-cell data") (description "UCell is a package for evaluating gene signatures in single-cell datasets. UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands less computing time and memory than other available methods, enabling the processing of large datasets in a few minutes even on machines with limited computing power. UCell can be applied to any single-cell data matrix, and includes functions to directly interact with SingleCellExperiment and Seurat objects.") (license license:gpl3))) (define-public r-unifiedwmwqpcr (package (name "r-unifiedwmwqpcr") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "unifiedWMWqPCR" version)) (sha256 (base32 "0v3jpnm3nq66xvckmc8447xl7wngfhhiwq6vjx54wgc6f586vmgd")))) (properties `((upstream-name . "unifiedWMWqPCR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-htqpcr)) (home-page "https://bioconductor.org/packages/unifiedWMWqPCR") (synopsis "Unified Wilcoxon-Mann Whitney Test for differential expression in qPCR data") (description "This package implements the unified Wilcoxon-Mann-Whitney Test for qPCR data. This modified test allows for testing differential expression in qPCR data.") (license license:gpl2+))) (define-public r-universalmotif (package (name "r-universalmotif") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "universalmotif" version)) (sha256 (base32 "0wy7zplypjiqv4wjq0l30xb5xj63fxb7z2wmmfrmzfkbgbm0xyha")))) (properties `((upstream-name . "universalmotif"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'fix-reference-to-strip (lambda _ (substitute* "src/Makevars" (("/usr/bin/strip") (which "strip")))))))) (propagated-inputs (list r-biocgenerics r-biostrings r-ggplot2 r-iranges r-mass r-matrixgenerics r-rcpp r-rcppthread r-rlang r-s4vectors r-yaml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/universalmotif/") (synopsis "Specific structures importer, modifier, and exporter for R") (description "This package allows importing most common @dfn{specific structure} (motif) types into R for use by functions provided by other Bioconductor motif-related packages. Motifs can be exported into most major motif formats from various classes as defined by other Bioconductor packages. A suite of motif and sequence manipulation and analysis functions are included, including enrichment, comparison, P-value calculation, shuffling, trimming, higher-order motifs, and others.") (license license:gpl3))) (define-public r-ace (package (name "r-ace") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ACE" version)) (sha256 (base32 "0ll0lksz6nzfj5ivmyrp5w24bhfl083amjpr0m8qlzpdw6k3wi98")))) (properties `((upstream-name . "ACE"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-genomicranges r-ggplot2 r-qdnaseq)) (native-inputs (list r-knitr)) (home-page "https://github.com/tgac-vumc/ACE") (synopsis "Absolute copy number estimation from low-coverage whole genome sequencing") (description "This package uses segmented copy number data to estimate tumor cell percentage and produce copy number plots displaying absolute copy numbers. For this it uses segmented data from the @code{QDNAseq} package, which in turn uses a number of dependencies to turn mapped reads into segmented data. @code{ACE} will run @code{QDNAseq} or use its output rds-file of segmented data. It will subsequently run through all samples in the object(s), for which it will create individual subdirectories. For each sample, it will calculate how well the segments fit (the relative error) to integer copy numbers for each percentage of @dfn{tumor cells} (cells with divergent segments).") (license license:gpl2))) (define-public r-acgh (package (name "r-acgh") (version "1.80.0") (source (origin (method url-fetch) (uri (bioconductor-uri "aCGH" version)) (sha256 (base32 "1qckqdil1cq8lbrj9di96w9934r1fp48xpmfdwp4f2vw9pjadi1q")))) (properties `((upstream-name . "aCGH"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-cluster r-multtest r-survival)) (home-page "https://bioconductor.org/packages/aCGH") (synopsis "Classes and functions for array comparative genomic hybridization data") (description "This package provides functions for reading @dfn{array comparative genomic hybridization} (aCGH) data from image analysis output files and clone information files, creation of @code{aCGH} objects for storing these data. Basic methods are accessing/replacing, subsetting, printing and plotting @code{aCGH} objects.") (license license:gpl2))) (define-public r-acme (package (name "r-acme") (version "2.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ACME" version)) (sha256 (base32 "0cy1f4ki4j7yxc9cws5s17ljd4ac0yxhijms0pm31im81qz2djax")))) (properties `((upstream-name . "ACME"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics)) (home-page "https://bioconductor.org/packages/aCGH/") (synopsis "Calculating microarray enrichment") (description "This package implements @dfn{algorithms for calculating microarray enrichment} (ACME), and it is a set of tools for analysing tiling array of @dfn{combined chromatin immunoprecipitation with DNA microarray} (ChIP/chip), DNAse hypersensitivity, or other experiments that result in regions of the genome showing enrichment. It does not rely on a specific array technology (although the array should be a tiling array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.") (license license:gpl2+))) (define-public r-acde (package (name "r-acde") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "acde" version)) (sha256 (base32 "1rqyjj4lgqxs372qx8p3qx2napww0djh4jz8hzgv86x9r202kk9p")))) (properties `((upstream-name . "acde"))) (build-system r-build-system) (propagated-inputs (list r-boot)) (home-page "https://bioconductor.org/packages/acde") (synopsis "Identification of differentially expressed genes with artificial components") (description "This package provides a multivariate inferential analysis method for detecting differentially expressed genes in gene expression data. It uses artificial components, close to the data's principal components but with an exact interpretation in terms of differential genetic expression, to identify differentially expressed genes while controlling the @dfn{false discovery rate} (FDR).") (license license:gpl3))) ;; This is a CRAN package, but it depends on Bioconductor packages, so we put ;; it here. (define-public r-activedriverwgs (package (name "r-activedriverwgs") (version "1.2.0") (source (origin (method url-fetch) (uri (cran-uri "ActiveDriverWGS" version)) (sha256 (base32 "0xnplgwxd197a4d422bsxg753q158i12ils16awd1cw30wafdxkk")))) (properties `((upstream-name . "ActiveDriverWGS"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-bsgenome-hsapiens-ucsc-hg38 r-bsgenome-mmusculus-ucsc-mm9 r-bsgenome-mmusculus-ucsc-mm10 r-genomeinfodb r-genomicranges r-iranges r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://cran.r-project.org/web/packages/ActiveDriverWGS/") (synopsis "Driver discovery tool for cancer whole genomes") (description "This package provides a method for finding an enrichment of cancer simple somatic mutations (SNVs and Indels) in functional elements across the human genome. ActiveDriverWGS detects coding and noncoding driver elements using whole genome sequencing data.") (license license:gpl3))) ;; This is a CRAN package, but it depends on Bioconductor packages, so we put ;; it here. (define-public r-activepathways (package (name "r-activepathways") (version "2.0.3") (source (origin (method url-fetch) (uri (cran-uri "ActivePathways" version)) (sha256 (base32 "0mgvxpqaq0jncr1kzmwhqkv3pajx2fz6vwhv5arw7fgla6w09p9h")))) (properties `((upstream-name . "ActivePathways"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-ggplot2)) (native-inputs (list r-knitr)) (home-page "https://cran.r-project.org/web/packages/ActivePathways/") (synopsis "Multivariate pathway enrichment analysis") (description "This package represents an integrative method of analyzing multi omics data that conducts enrichment analysis of annotated gene sets. ActivePathways uses a statistical data fusion approach, rationalizes contributing evidence and highlights associated genes, improving systems-level understanding of cellular organization in health and disease.") (license license:gpl3))) (define-public r-bgmix (package (name "r-bgmix") (version "1.59.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BGmix" version)) (sha256 (base32 "16fzgxcy4sk0kd67vzdxqz81s84dvh4bqss9cbl9bn6vhpfsnfyf")))) (properties `((upstream-name . "BGmix"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases ;; GCC's c++/bits/specfun.h (included by cmath) provides a std::beta ;; procedure. (add-after 'unpack 'avoid-naming-conflict (lambda _ (substitute* "src/BGmix_main.cpp" (("\\bbeta\\b") "::beta") (("\\*\\*::beta,") "**beta,"))))))) (propagated-inputs (list r-kernsmooth)) (home-page "https://bioconductor.org/packages/BGmix/") (synopsis "Bayesian models for differential gene expression") (description "This package provides fully Bayesian mixture models for differential gene expression.") (license license:gpl2))) (define-public r-bgx (package (name "r-bgx") (version "1.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bgx" version)) (sha256 (base32 "0v85i0lwmxq5yq9ygfzljgy8fsflqq1p53rq8aasnndd6gsm8ld2")))) (properties `((upstream-name . "bgx"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'do-not-tune-cflags-for-reproducibility (lambda _ (substitute* "configure.ac" (("AX_GCC_ARCHFLAG.*") "")) (delete-file "configure") (invoke "autoreconf" "-vif")))))) (inputs (list boost)) (propagated-inputs (list r-affy r-biobase r-gcrma r-rcpp)) (native-inputs (list autoconf automake)) (home-page "https://bioconductor.org/packages/bgx/") (synopsis "Bayesian gene expression") (description "This package provides tools for Bayesian integrated analysis of Affymetrix GeneChips.") (license license:gpl2))) (define-public r-bhc (package (name "r-bhc") (version "1.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BHC" version)) (sha256 (base32 "1m289q9bs7i7d15g5mzdmzw7yppnqspr8illkya8kxlv1i2sify1")))) (properties `((upstream-name . "BHC"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/BHC/") (synopsis "Bayesian hierarchical clustering") (description "The method implemented in this package performs bottom-up hierarchical clustering, using a Dirichlet Process (infinite mixture) to model uncertainty in the data and Bayesian model selection to decide at each step which clusters to merge. This avoids several limitations of traditional methods, for example how many clusters there should be and how to choose a principled distance metric. This implementation accepts multinomial (i.e. discrete, with 2+ categories) or time-series data. This version also includes a randomised algorithm which is more efficient for larger data sets.") (license license:gpl3))) (define-public r-bicare (package (name "r-bicare") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BicARE" version)) (sha256 (base32 "10inwxl1cmkdp8037wcwkj5wzxsrrcysxfbqhnkh7pzhzvwnzz9h")))) (properties `((upstream-name . "BicARE"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-go-db r-gseabase r-multtest)) (home-page "http://bioinfo.curie.fr") (synopsis "Biclustering analysis and results exploration") (description "This is a package for biclustering analysis and exploration of results.") (license license:gpl2))) (define-public r-bifet (package (name "r-bifet") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiFET" version)) (sha256 (base32 "056zqlql39q44snvx5nzc5snrihpr1kj3jdbpbb401hxi9r64f4r")))) (properties `((upstream-name . "BiFET"))) (build-system r-build-system) (propagated-inputs (list r-genomicranges r-poibin)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiFET") (synopsis "Bias-free footprint enrichment test") (description "BiFET identifies @dfn{transcription factors} (TFs) whose footprints are over-represented in target regions compared to background regions after correcting for the bias arising from the imbalance in read counts and GC contents between the target and background regions. For a given TF k, BiFET tests the null hypothesis that the target regions have the same probability of having footprints for the TF k as the background regions while correcting for the read count and GC content bias.") (license license:gpl3))) (define-public r-rsbml (package (name "r-rsbml") (version "2.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rsbml" version)) (sha256 (base32 "0pvj0qgc6hd02g9ppfc610gvfn412rw69rxh43y4dr3n894kdm2i")))) (properties `((upstream-name . "rsbml"))) (build-system r-build-system) (inputs (list libsbml)) (propagated-inputs (list r-biocgenerics r-graph)) (native-inputs (list pkg-config)) (home-page "http://www.sbml.org") (synopsis "R support for SBML") (description "This package provides an R interface to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects.") (license license:artistic2.0))) (define-public r-hybridmtest (package (name "r-hybridmtest") (version "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "HybridMTest" version)) (sha256 (base32 "1jkihcad453d7jqb78fl03yfqz169jz75c40y53569ndp2j4rg71")))) (properties `((upstream-name . "HybridMTest"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-fdrtool r-mass r-survival)) (home-page "https://bioconductor.org/packages/HybridMTest") (synopsis "Hybrid multiple testing") (description "This package performs hybrid multiple testing that incorporates method selection and assumption evaluations into the analysis using @acronym{EBP, empirical Bayes probability} estimates obtained by Grenander density estimation. For instance, for 3-group comparison analysis, Hybrid Multiple testing considers EBPs as weighted EBPs between F-test and H-test with EBPs from Shapiro Wilk test of normality as weigth. Instead of just using EBPs from F-test only or using H-test only, this methodology combines both types of EBPs through EBPs from Shapiro Wilk test of normality. This methodology uses then the law of total EBPs.") (license license:gpl2+))) (define-public r-hypergraph (package (name "r-hypergraph") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "hypergraph" version)) (sha256 (base32 "16bjjfzcndjfqsywzw2cn551fgqlnll2gi975w0qqxhkh3jssgmi")))) (properties `((upstream-name . "hypergraph"))) (build-system r-build-system) (propagated-inputs (list r-graph)) (home-page "https://bioconductor.org/packages/hypergraph") (synopsis "Hypergraph data structures") (description "This package implements some simple capabilities for representing and manipulating hypergraphs.") (license license:artistic2.0))) (define-public r-hyperdraw (package (name "r-hyperdraw") (version "1.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "hyperdraw" version)) (sha256 (base32 "1lgfpw9f7095lgk46gdpxq3z52c24xw4ajl7yid3pcgw19bfcgk5")))) (properties `((upstream-name . "hyperdraw"))) (build-system r-build-system) (inputs (list graphviz)) (propagated-inputs (list r-graph r-hypergraph r-rgraphviz)) (home-page "https://bioconductor.org/packages/hyperdraw") (synopsis "Visualizing hypergraphs") (description "This package provides functions for visualizing hypergraphs.") (license license:gpl2+))) (define-public r-biggr (package (name "r-biggr") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiGGR" version)) (sha256 (base32 "1pdsxkh9fkgn80f7p21902pb6xp2qafq10p29ifb55qwz8gma2ff")))) (properties `((upstream-name . "BiGGR"))) (build-system r-build-system) (propagated-inputs (list r-hyperdraw r-hypergraph r-lim r-limsolve r-rsbml r-stringr)) (home-page "https://bioconductor.org/packages/BiGGR/") (synopsis "Constraint based modeling using metabolic reconstruction databases") (description "This package provides an interface to simulate metabolic reconstruction from the @url{http://bigg.ucsd.edu/, BiGG database} and other metabolic reconstruction databases. The package facilitates @dfn{flux balance analysis} (FBA) and the sampling of feasible flux distributions. Metabolic networks and estimated fluxes can be visualized with hypergraphs.") (license license:gpl3+))) (define-public r-bigmemoryextras (package (name "r-bigmemoryextras") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bigmemoryExtras" version)) (sha256 (base32 "1k31h746j8r3f92vj62s38fw12qjkv5814ipcqfbswnxgaan17zj")))) (properties `((upstream-name . "bigmemoryExtras"))) (build-system r-build-system) (propagated-inputs (list r-bigmemory)) (native-inputs (list r-knitr)) (home-page "https://github.com/phaverty/bigmemoryExtras") (synopsis "Extension of the bigmemory package") (description "This package defines a @code{BigMatrix} @code{ReferenceClass} which adds safety and convenience features to the @code{filebacked.big.matrix} class from the @code{bigmemory} package. @code{BigMatrix} protects against segfaults by monitoring and gracefully restoring the connection to on-disk data and it also protects against accidental data modification with a file-system-based permissions system. Utilities are provided for using @code{BigMatrix}-derived classes as @code{assayData} matrices within the @code{Biobase} package's @code{eSet} family of classes. @code{BigMatrix} provides some optimizations related to attaching to, and indexing into, file-backed matrices with dimnames. Additionally, the package provides a @code{BigMatrixFactor} class, a file-backed matrix with factor properties.") (license license:artistic2.0))) (define-public r-bigpint (package (name "r-bigpint") (version "1.15.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bigPint" version)) (sha256 (base32 "1r9gr5f9as09ifagal5k7713h95qjw508cf8ny3j1jmqd24v6xhs")))) (properties `((upstream-name . "bigPint"))) (build-system r-build-system) (propagated-inputs (list r-delayedarray r-dplyr r-ggally r-ggplot2 r-gridextra r-hexbin r-hmisc r-htmlwidgets r-plotly r-plyr r-rcolorbrewer r-reshape r-shiny r-shinycssloaders r-shinydashboard r-stringr r-summarizedexperiment r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/lindsayrutter/bigPint") (synopsis "Big multivariate data plotted interactively") (description "This package provides methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. It includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.") (license license:gpl3))) (define-public r-chemmineob (package (name "r-chemmineob") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChemmineOB" version)) (sha256 (base32 "0mfajzwzldmra6g5kni5yw7m2n719456p1vd3hxx2r7l1phdjixi")))) (properties `((upstream-name . "ChemmineOB"))) (build-system r-build-system) (arguments (list #:phases #~(modify-phases %standard-phases (add-after 'unpack 'patch-makefile (lambda _ (substitute* "src/Makevars.in" (("/usr/include/openbabel3") (string-append #$(this-package-input "openbabel") "/include/openbabel3")) (("/usr/include/eigen3") (string-append #$(this-package-input "eigen") "/include/eigen3")))))))) (inputs (list eigen openbabel)) (propagated-inputs (list r-bh r-biocgenerics r-rcpp r-zlibbioc)) (native-inputs (list pkg-config r-knitr)) (home-page "https://github.com/girke-lab/ChemmineOB") (synopsis "R interface to a subset of OpenBabel functionalities") (description "@code{ChemmineOB} provides an R interface to a subset of cheminformatics functionalities implemented by the @code{OpelBabel} C++ project. @code{OpenBabel} is an open source cheminformatics toolbox that includes utilities for structure format interconversions, descriptor calculations, compound similarity searching and more. @code{ChemineOB} aims to make a subset of these utilities available from within R. For non-developers, @code{ChemineOB} is primarily intended to be used from @code{ChemmineR} as an add-on package rather than used directly.") (license license:asl2.0))) (define-public r-chemminer (package (name "r-chemminer") (version "3.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChemmineR" version)) (sha256 (base32 "1328mwmghflrvir1i3crlq8q36wq60x2an11saabg63hnx4paa81")))) (properties `((upstream-name . "ChemmineR"))) (build-system r-build-system) (propagated-inputs (list r-base64enc r-bh r-biocgenerics r-dbi r-digest r-dt r-ggplot2 r-gridextra r-jsonlite r-png r-rcpp r-rcurl r-rjson r-rsvg r-stringi)) (native-inputs (list r-knitr)) (home-page "https://github.com/girke-lab/ChemmineR") (synopsis "Cheminformatics toolkit for R") (description "ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. It contains functions for efficient processing of large numbers of molecules, physicochemical/structural property predictions, structural similarity searching, classification and clustering of compound libraries with a wide spectrum of algorithms. In addition, it offers visualization functions for compound clustering results and chemical structures.") (license license:artistic2.0))) (define-public r-fmcsr (package (name "r-fmcsr") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "fmcsR" version)) (sha256 (base32 "17il9mi1iagl474ia1lz0ajx1wq67jw5famkr1fmjlis8ymw8hnd")))) (properties `((upstream-name . "fmcsR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-chemminer r-runit)) (native-inputs (list r-knitr)) (home-page "https://github.com/girke-lab/fmcsR") (synopsis "Mismatch tolerant maximum common substructure searching") (description "The fmcsR package introduces an efficient @dfn{maximum common substructure} (MCS) algorithms combined with a novel matching strategy that allows for atom and/or bond mismatches in the substructures shared among two small molecules. The resulting flexible MCSs (FMCSs) are often larger than strict MCSs, resulting in the identification of more common features in their source structures, as well as a higher sensitivity in finding compounds with weak structural similarities. The fmcsR package provides several utilities to use the FMCS algorithm for pairwise compound comparisons, structure similarity searching and clustering.") (license license:artistic2.0))) (define-public r-bioassayr (package (name "r-bioassayr") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bioassayR" version)) (sha256 (base32 "1mm1nzdz9cl8mf33yiyaspqkx4sbqhhs6m9jfgl42fhscrhaxfsi")))) (properties `((upstream-name . "bioassayR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-chemminer r-dbi r-matrix r-rjson r-rsqlite r-xml)) (native-inputs (list r-knitr)) (home-page "https://github.com/girke-lab/bioassayR") (synopsis "Cross-target analysis of small molecule bioactivity") (description "bioassayR is a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of @dfn{high throughput screening fingerprints} (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data.") (license license:artistic2.0))) (define-public r-biobroom (package (name "r-biobroom") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biobroom" version)) (sha256 (base32 "1ivclipy2igf8ax7f0pqrcqflcm7h0a8ny6nfa0200vp99an8ymf")))) (properties `((upstream-name . "biobroom"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-broom r-dplyr r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://github.com/StoreyLab/biobroom") (synopsis "Turn Bioconductor objects into tidy data frames") (description "This package contains methods for converting standard objects constructed by bioinformatics packages, especially those in Bioconductor, and converting them to @code{tidy} data. It thus serves as a complement to the @code{broom} package, and follows the same tidy, augment, glance division of tidying methods. Tidying data makes it easy to recombine, reshape and visualize bioinformatics analyses.") ;; Any version of the LGPL. (license license:lgpl3+))) (define-public r-graphite (package (name "r-graphite") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "graphite" version)) (sha256 (base32 "1h8j10jx02zsxs6rzids3gy4xchdhgzkifa5grrfbn8faf9ycy2n")))) (properties `((upstream-name . "graphite"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-graph r-httr r-purrr r-rappdirs r-rlang)) (native-inputs (list r-r-rsp)) (home-page "https://bioconductor.org/packages/graphite/") (synopsis "Networks from pathway databases") (description "Graphite provides networks derived from eight public pathway databases, and automates the conversion of node identifiers (e.g. from Entrez IDs to gene symbols).") (license license:agpl3+))) (define-public r-reactomepa (package (name "r-reactomepa") (version "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ReactomePA" version)) (sha256 (base32 "0kflwlmyckyivr8xh7fsmpl7jfkq5kavwpkswmvdfqckbd0n9xsc")))) (properties `((upstream-name . "ReactomePA"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-dose r-enrichplot r-ggplot2 r-ggraph r-graphite r-gson r-igraph r-reactome-db)) (native-inputs (list r-knitr)) (home-page "https://guangchuangyu.github.io/software/ReactomePA") (synopsis "Reactome pathway analysis") (description "This package provides functions for pathway analysis based on the REACTOME pathway database. It implements enrichment analysis, gene set enrichment analysis and several functions for visualization.") (license license:gpl2))) (define-public r-ebarrays (package (name "r-ebarrays") (version "2.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EBarrays" version)) (sha256 (base32 "1m8dy1lmx9m8p5jjk0i7yllb4pvq77kynszk1nz8cc1niz6xs47q")))) (properties `((upstream-name . "EBarrays"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-cluster r-lattice)) (home-page "https://bioconductor.org/packages/EBarrays/") (synopsis "Gene clustering and differential expression identification") (description "EBarrays provides tools for the analysis of replicated/unreplicated microarray data.") (license license:gpl2+))) (define-public r-biocbaseutils (package (name "r-biocbaseutils") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocBaseUtils" version)) (sha256 (base32 "189jz8krhv0vdnk47m3cmy95zfg3l328w6dbhg6djvlkca17i275")))) (properties `((upstream-name . "BiocBaseUtils"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocBaseUtils") (synopsis "General utility functions for developing Bioconductor packages") (description "The package provides utility functions related to package development. These include functions that replace slots, and selectors for show methods. It aims to coalesce the various helper functions often re-used throughout the Bioconductor ecosystem.") (license license:artistic2.0))) (define-public r-bioccasestudies (package (name "r-bioccasestudies") (version "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocCaseStudies" version)) (sha256 (base32 "03n49b6fvyyzmvdy4yif3cl7yv21c09c8xdx4cvvax5zz4v4sab1")))) (properties `((upstream-name . "BiocCaseStudies"))) (build-system r-build-system) (propagated-inputs (list r-biobase)) (home-page "https://bioconductor.org/packages/BiocCaseStudies") (synopsis "Support for the case studies monograph") (description "This package provides software and data to support the case studies monograph.") (license license:artistic2.0))) (define-public r-bioccheck (package (name "r-bioccheck") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocCheck" version)) (sha256 (base32 "11d67dfwxc34n7yzpz58ficjk7sxnbxrajhnqlcxvsifgmybkb4d")))) (properties `((upstream-name . "BiocCheck"))) (build-system r-build-system) (propagated-inputs (list r-biocbaseutils r-biocfilecache r-biocmanager r-biocviews r-callr r-codetools r-graph r-httr r-knitr r-stringdist)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocCheck") (synopsis "Executes Bioconductor-specific package checks") (description "This package contains tools to perform additional quality checks on R packages that are to be submitted to the Bioconductor repository.") (license license:artistic2.0))) (define-public r-biocgraph (package (name "r-biocgraph") (version "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biocGraph" version)) (sha256 (base32 "1yy0bwvfa5b531jvmbiwrd4xg8cdvrgwr8l6bxasrh6yrbv8drml")))) (properties `((upstream-name . "biocGraph"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-geneplotter r-graph r-rgraphviz)) (home-page "https://bioconductor.org/packages/biocGraph/") (synopsis "Graph examples and use cases in Bioinformatics") (description "This package provides examples and code that make use of the different graph related packages produced by Bioconductor.") (license license:artistic2.0))) (define-public r-biocstyle (package (name "r-biocstyle") (version "2.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocStyle" version)) (sha256 (base32 "17pkdi3vn62pw1nzmgz0i45czynqjchq078ij8v1xvflg6lf7flw")))) (properties `((upstream-name . "BiocStyle"))) (build-system r-build-system) (propagated-inputs (list r-biocmanager r-bookdown r-knitr r-rmarkdown r-yaml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocStyle") (synopsis "Bioconductor formatting styles") (description "This package provides standard formatting styles for Bioconductor PDF and HTML documents. Package vignettes illustrate use and functionality.") (license license:artistic2.0))) (define-public r-biocviews (package (name "r-biocviews") (version "1.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biocViews" version)) (sha256 (base32 "0fpka47shrxcbc1k057f5zv79406daic0y34v8p5lsvxbgzh0m8b")))) (properties `((upstream-name . "biocViews"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocmanager r-graph r-rbgl r-rcurl r-runit r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/biocViews") (synopsis "Bioconductor package categorization helper") (description "The purpose of biocViews is to create HTML pages that categorize packages in a Bioconductor package repository according to keywords, also known as views, in a controlled vocabulary.") (license license:artistic2.0))) (define-public r-experimenthub (package (name "r-experimenthub") (version "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ExperimentHub" version)) (sha256 (base32 "1prl24sg5l142155z3iaxrvig2wv2xqajq02nj30jjjih4p4936w")))) (properties `((upstream-name . "ExperimentHub"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-biocfilecache r-biocgenerics r-biocmanager r-rappdirs r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ExperimentHub/") (synopsis "Client to access ExperimentHub resources") (description "This package provides a client for the Bioconductor ExperimentHub web resource. ExperimentHub provides a central location where curated data from experiments, publications or training courses can be accessed. Each resource has associated metadata, tags and date of modification. The client creates and manages a local cache of files retrieved enabling quick and reproducible access.") (license license:artistic2.0))) (define-public r-experimenthubdata (package (name "r-experimenthubdata") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ExperimentHubData" version)) (sha256 (base32 "0msg3wpz1ppvwc4dsm9bz9h4y4hz67xr1xwp4vv4100sg0i5v9jn")))) (properties `((upstream-name . "ExperimentHubData"))) (build-system r-build-system) (propagated-inputs (list r-annotationhubdata r-biocgenerics r-biocmanager r-curl r-dbi r-experimenthub r-httr r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ExperimentHubData") (synopsis "Add resources to ExperimentHub") (description "This package provides functions to add metadata to @code{ExperimentHub} db and resource files to AWS S3 buckets.") (license license:artistic2.0))) (define-public r-grohmm (package (name "r-grohmm") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "groHMM" version)) (sha256 (base32 "15ibdbpj7vqypxfnp2w06w9lync11z3azzss6s97xhadkgsbw4vq")))) (properties `((upstream-name . "groHMM"))) (build-system r-build-system) (propagated-inputs (list r-genomeinfodb r-genomicalignments r-genomicranges r-iranges r-mass r-rtracklayer r-s4vectors)) (home-page "https://github.com/Kraus-Lab/groHMM") (synopsis "GRO-seq analysis pipeline") (description "This package provides a pipeline for the analysis of GRO-seq data.") (license license:gpl3+))) (define-public r-multiassayexperiment (package (name "r-multiassayexperiment") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MultiAssayExperiment" version)) (sha256 (base32 "0dmhqymh800mljcpdf817nbyg20czp8y9bg13p3r4bfj6axxckch")))) (properties `((upstream-name . "MultiAssayExperiment"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocbaseutils r-biocgenerics r-delayedarray r-genomicranges r-iranges r-s4vectors r-summarizedexperiment r-tidyr)) (native-inputs (list r-knitr r-r-rsp)) (home-page "https://waldronlab.io/MultiAssayExperiment/") (synopsis "Integration of multi-omics experiments in Bioconductor") (description "MultiAssayExperiment harmonizes data management of multiple assays performed on an overlapping set of specimens. It provides a familiar Bioconductor user experience by extending concepts from @code{SummarizedExperiment}, supporting an open-ended mix of standard data classes for individual assays, and allowing subsetting by genomic ranges or rownames.") (license license:artistic2.0))) (define-public r-bioconcotk (package (name "r-bioconcotk") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocOncoTK" version)) (sha256 (base32 "1xymgfiv9abyaq5s7m683ml8a1ls9mqvbh9qjiz3jqbbpvmsm502")))) (properties `((upstream-name . "BiocOncoTK"))) (build-system r-build-system) (propagated-inputs (list r-bigrquery r-car r-complexheatmap r-curatedtcgadata r-dbi r-dplyr r-dt r-genomicfeatures r-genomicranges r-ggplot2 r-ggpubr r-graph r-httr r-iranges r-magrittr r-mass r-plyr r-rgraphviz r-rjson r-s4vectors r-scales r-shiny r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocOncoTK") (synopsis "Bioconductor components for general cancer genomics") (description "The purpose of this package is to provide a central interface to various tools for genome-scale analysis of cancer studies.") (license license:artistic2.0))) (define-public r-biocor (package (name "r-biocor") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioCor" version)) (sha256 (base32 "0710dl05hs590fimp3dhg5hzvk6s79i0kwk6w6sj59pcawx2l6il")))) (properties `((upstream-name . "BioCor"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-gseabase r-matrix)) (native-inputs (list r-knitr)) (home-page "https://llrs.github.io/BioCor/") (synopsis "Functional similarities") (description "This package provides tools to calculate functional similarities based on the pathways described on KEGG and REACTOME or in gene sets. These similarities can be calculated for pathways or gene sets, genes, or clusters and combined with other similarities. They can be used to improve networks, gene selection, testing relationships, and so on.") (license license:expat))) (define-public r-biocpkgtools (package (name "r-biocpkgtools") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocPkgTools" version)) (sha256 (base32 "0swi6xiads31xcndc2cfzh0ivdl0wc88s83s1p1gxh51rgmgkb14")) (snippet '(for-each delete-file '("inst/htmlwidgets/lib/bioc_explore/bootstrap.min.js" "inst/htmlwidgets/lib/bioc_explore/d3.v3.min.js" "inst/htmlwidgets/lib/bioc_explore/jquery-2.2.4.min.js" "inst/htmlwidgets/lib/bioc_explore/underscore-min.js"))))) (properties `((upstream-name . "BiocPkgTools"))) (build-system r-build-system) (arguments (list #:modules '((guix build utils) (guix build r-build-system) (srfi srfi-1)) #:phases '(modify-phases %standard-phases (add-after 'unpack 'process-javascript (lambda* (#:key inputs #:allow-other-keys) (with-directory-excursion "inst/htmlwidgets/lib/bioc_explore" (call-with-values (lambda () (unzip2 `((,(assoc-ref inputs "js-bootstrap") "bootstrap.min.js") (,(assoc-ref inputs "js-d3") "d3.v3.min.js") (,(assoc-ref inputs "js-jquery") "jquery-2.2.4.min.js") (,(search-input-file inputs "/underscore.js") "underscore-min.js")))) (lambda (sources targets) (for-each (lambda (source target) (format #true "Processing ~a --> ~a~%" source target) (invoke "esbuild" source "--minify" (string-append "--outfile=" target))) sources targets))))))))) (propagated-inputs (list r-biocfilecache r-biocmanager r-biocviews r-dplyr r-dt r-gh r-graph r-htmltools r-htmlwidgets r-httr r-igraph r-jsonlite r-magrittr r-rbgl r-readr r-rlang r-rorcid r-rvest r-stringr r-tibble r-xml2)) (native-inputs `(("esbuild" ,esbuild) ("r-knitr" ,r-knitr) ("js-bootstrap" ,(origin (method url-fetch) (uri "https://raw.githubusercontent.com/twbs/bootstrap/v3.3.6/dist/js/bootstrap.js") (sha256 (base32 "07fm28xbkb7a5n7zgmfxgbl2g5j010r4gvc54y79v1f119s3kz6y")))) ("js-d3" ,(origin (method url-fetch) (uri "https://d3js.org/d3.v3.js") (sha256 (base32 "1arr7sr08vy7wh0nvip2mi7dpyjw4576vf3bm45rp4g5lc1k1x41")))) ("js-jquery" ,(origin (method url-fetch) (uri "https://code.jquery.com/jquery-2.2.4.js") (sha256 (base32 "18m6qmmsm3knvybf6gpwmwiasi05y98gcpb364if8qh94gv90gl9")))) ("js-underscore" ,(origin (method git-fetch) (uri (git-reference (url "https://github.com/jashkenas/underscore") (commit "1.8.3"))) (file-name (git-file-name "underscorejs" "1.8.3")) (sha256 (base32 "1r54smxpl3c6jg6py29xjc2l1z49rlm1h48vr9i57wvnkbnbl0h3")))))) (home-page "https://github.com/seandavi/BiocPkgTools") (synopsis "Collection of tools for learning about Bioconductor packages") (description "Bioconductor has a rich ecosystem of metadata around packages, usage, and build status. This package is a simple collection of functions to access that metadata from R. The goal is to expose metadata for data mining and value-added functionality such as package searching, text mining, and analytics on packages.") (license license:expat))) (define-public r-biocset (package (name "r-biocset") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocSet" version)) (sha256 (base32 "0sk4kmvl86xm85dqaf8gvii0qavyycyn2qp0v6dmfcjqai528v2x")))) (properties `((upstream-name . "BiocSet"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocio r-dplyr r-keggrest r-ontologyindex r-plyr r-rlang r-s4vectors r-tibble r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocSet") (synopsis "Representing Different Biological Sets") (description "BiocSet displays different biological sets in a triple tibble format. These three tibbles are @code{element}, @code{set}, and @code{elementset}. The user has the ability to activate one of these three tibbles to perform common functions from the @code{dplyr} package. Mapping functionality and accessing web references for elements/sets are also available in BiocSet.") (license license:artistic2.0))) (define-public r-biocworkflowtools (package (name "r-biocworkflowtools") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocWorkflowTools" version)) (sha256 (base32 "0mh7lsiprshq56ns3b8pbv1j1mjcbdzqydvli0ynmvf5smn2j4m5")))) (properties `((upstream-name . "BiocWorkflowTools"))) (build-system r-build-system) (propagated-inputs (list r-biocstyle r-bookdown r-git2r r-httr r-knitr r-rmarkdown r-rstudioapi r-stringr r-usethis)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocWorkflowTools/") (synopsis "Tools to aid the development of Bioconductor Workflow packages") (description "This package provides functions to ease the transition between Rmarkdown and LaTeX documents when authoring a Bioconductor Workflow.") (license license:expat))) (define-public r-biodist (package (name "r-biodist") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bioDist" version)) (sha256 (base32 "0ngpysb89wag4wvcq83ddjxhy1zhl32b2fy2fg5laa4g8xfrqaxz")))) (properties `((upstream-name . "bioDist"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-kernsmooth)) (home-page "https://bioconductor.org/packages/bioDist/") (synopsis "Different distance measures") (description "This package provides a collection of software tools for calculating distance measures.") (license license:artistic2.0))) (define-public r-pcatools (package (name "r-pcatools") (version "2.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "PCAtools" version)) (sha256 (base32 "18rzv4kldjmm2zvz9pzrpspig2hy6mcvb45hgmw49ba4jdcxh31s")))) (properties `((upstream-name . "PCAtools"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-bh r-biocparallel r-biocsingular r-cowplot r-delayedarray r-delayedmatrixstats r-dqrng r-ggplot2 r-ggrepel r-lattice r-matrix r-rcpp r-reshape2)) (native-inputs (list r-knitr)) (home-page "https://github.com/kevinblighe/PCAtools") (synopsis "PCAtools: everything Principal Components Analysis") (description "@dfn{Principal Component Analysis} (PCA) extracts the fundamental structure of the data without the need to build any model to represent it. This \"summary\" of the data is arrived at through a process of reduction that can transform the large number of variables into a lesser number that are uncorrelated (i.e. the 'principal components'), while at the same time being capable of easy interpretation on the original data. PCAtools provides functions for data exploration via PCA, and allows the user to generate publication-ready figures. PCA is performed via @code{BiocSingular}; users can also identify an optimal number of principal components via different metrics, such as the elbow method and Horn's parallel analysis, which has relevance for data reduction in single-cell RNA-seq (scRNA-seq) and high dimensional mass cytometry data.") (license license:gpl3))) (define-public r-rgreat (package (name "r-rgreat") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rGREAT" version)) (sha256 (base32 "09fvmfiavawfwbxaj1585l2n00fibx9z3r17dv06hc6b40a1sa12")))) (properties `((upstream-name . "rGREAT"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-circlize r-digest r-doparallel r-dt r-foreach r-genomeinfodb r-genomicfeatures r-genomicranges r-getoptlong r-globaloptions r-go-db r-iranges r-org-hs-eg-db r-progress r-rcolorbrewer r-rcpp r-rcurl r-rjson r-s4vectors r-shiny r-txdb-hsapiens-ucsc-hg19-knowngene r-txdb-hsapiens-ucsc-hg38-knowngene)) (native-inputs (list r-knitr)) (home-page "https://github.com/jokergoo/rGREAT") (synopsis "Client for GREAT analysis") (description "This package makes GREAT (Genomic Regions Enrichment of Annotations Tool) analysis automatic by constructing a HTTP POST request according to user's input and automatically retrieving results from GREAT web server.") (license license:expat))) (define-public r-m3c (package (name "r-m3c") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "M3C" version)) (sha256 (base32 "0q6npc5pglmhzm9270pi11kbp5wg3ncvflp4rhv3w778qza2zlk1")))) (properties `((upstream-name . "M3C"))) (build-system r-build-system) (propagated-inputs (list r-cluster r-corpcor r-doparallel r-dosnow r-foreach r-ggplot2 r-matrix r-matrixcalc r-rtsne r-umap)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/M3C") (synopsis "Monte Carlo reference-based consensus clustering") (description "M3C is a consensus clustering algorithm that uses a Monte Carlo simulation to eliminate overestimation of @code{K} and can reject the null hypothesis @code{K=1}.") (license license:agpl3+))) (define-public r-icens (package (name "r-icens") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Icens" version)) (sha256 (base32 "0fz66bchf41jzgabs1s8drpi3f7g27lid5g50lxwh6ph3i02cpaw")))) (properties `((upstream-name . "Icens"))) (build-system r-build-system) (propagated-inputs (list r-survival)) (home-page "https://bioconductor.org/packages/Icens") (synopsis "NPMLE for censored and truncated data") (description "This package provides many functions for computing the @dfn{nonparametric maximum likelihood estimator} (NPMLE) for censored and truncated data.") (license license:artistic2.0))) ;; This is a CRAN package but it depends on r-icens, which is published on ;; Bioconductor. (define-public r-interval (package (name "r-interval") (version "1.1-1.0") (source (origin (method url-fetch) (uri (cran-uri "interval" version)) (sha256 (base32 "0kmz7wpgc4kspr11l0nls4rq0qk2lbsg3s4bpl0zs4r4pjcrwvrx")))) (properties `((upstream-name . "interval"))) (build-system r-build-system) (propagated-inputs (list r-icens r-mlecens r-perm r-survival)) (home-page "https://cran.r-project.org/web/packages/interval/") (synopsis "Weighted Logrank tests and NPMLE for interval censored data") (description "This package provides functions to fit nonparametric survival curves, plot them, and perform logrank or Wilcoxon type tests.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on r-interval, which depends on a ;; Bioconductor package. (define-public r-fhtest (package (name "r-fhtest") (version "1.5.1") (source (origin (method url-fetch) (uri (cran-uri "FHtest" version)) (sha256 (base32 "0x7lr88w0b09ng7nps490kgj8aqdjzmp9skv9iwqgn871pnpydms")))) (properties `((upstream-name . "FHtest"))) (build-system r-build-system) (propagated-inputs (list r-interval r-kmsurv r-mass r-perm r-survival)) (home-page "https://cran.r-project.org/web/packages/FHtest/") (synopsis "Tests for survival data based on the Fleming-Harrington class") (description "This package provides functions to compare two or more survival curves with: @itemize @item The Fleming-Harrington test for right-censored data based on permutations and on counting processes. @item An extension of the Fleming-Harrington test for interval-censored data based on a permutation distribution and on a score vector distribution. @end itemize ") (license license:gpl2+))) (define-public r-fourcseq (package (name "r-fourcseq") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FourCSeq" version)) (sha256 (base32 "1rwdphcj26xis47n8j1fiyc3k3qbsgn0bhf5bhgy5vm11yqyvicb")))) (properties `((upstream-name . "FourCSeq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biostrings r-deseq2 r-fda r-genomicalignments r-genomicranges r-ggbio r-ggplot2 r-gtools r-lsd r-matrix r-reshape2 r-rsamtools r-rtracklayer r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/release/bioc/html/FourCSeq.html") (synopsis "Analysis of multiplexed 4C sequencing data") (description "This package is an R package dedicated to the analysis of (multiplexed) 4C sequencing data. @code{r-fourcseq} provides a pipeline to detect specific interactions between DNA elements and identify differential interactions between conditions. The statistical analysis in R starts with individual bam files for each sample as inputs. To obtain these files, the package contains a Python script to demultiplex libraries and trim off primer sequences. With a standard alignment software the required bam files can be then be generated.") (license license:gpl3+))) (define-public r-preprocesscore (package (name "r-preprocesscore") (version "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "preprocessCore" version)) (sha256 (base32 "15fy3vwnjx6rwrkhbwxyvdykkfdis8c0m18x6y7irvyij9lm6x1y")))) (properties `((upstream-name . "preprocessCore"))) (build-system r-build-system) (home-page "https://github.com/bmbolstad/preprocessCore") (synopsis "Collection of pre-processing functions") (description "This package provides a library of core pre-processing and normalization routines.") (license license:lgpl2.0+))) (define-public r-s4arrays (package (name "r-s4arrays") (version "1.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "S4Arrays" version)) (sha256 (base32 "0x420l98f6b10r3qrdjq5ijs2p0msdcg6d6aghr3yvj1f9g06h8y")))) (properties `((upstream-name . "S4Arrays"))) (build-system r-build-system) (propagated-inputs (list r-abind r-biocgenerics r-crayon r-iranges r-matrix r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/S4Arrays") (synopsis "Foundation of array-like containers in Bioconductor") (description "The S4Arrays package defines the @code{Array} virtual class to be extended by other S4 classes that wish to implement a container with an array-like semantic. It also provides: @enumerate @item low-level functionality meant to help the developer of such container to implement basic operations like display, subsetting, or coercion of their array-like objects to an ordinary matrix or array, and @item a framework that facilitates block processing of array-like objects (typically on-disk objects). @end enumerate ") (license license:artistic2.0))) (define-public r-s4vectors (package (name "r-s4vectors") (version "0.40.2") (source (origin (method url-fetch) (uri (bioconductor-uri "S4Vectors" version)) (sha256 (base32 "10lryil0psfyal0006rbhj0dbxyn8f7mpp11h758zc217cxsdnac")))) (properties `((upstream-name . "S4Vectors"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/S4Vectors") (synopsis "S4 implementation of vectors and lists") (description "The S4Vectors package defines the @code{Vector} and @code{List} virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of @code{Vector} or @code{List}. In addition, a few low-level concrete subclasses of general interest (e.g. @code{DataFrame}, @code{Rle}, and @code{Hits}) are implemented in the S4Vectors package itself.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on preprocessorcore, which is a ;; Bioconductor package. (define-public r-wgcna (package (name "r-wgcna") (version "1.72-5") (source (origin (method url-fetch) (uri (cran-uri "WGCNA" version)) (sha256 (base32 "17g7lan1rpy6y4nmqksrf9ddp3gs58vdczfavgq1fp13zx1r2hq3")))) (properties `((upstream-name . "WGCNA"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-doparallel r-dynamictreecut r-fastcluster r-foreach r-go-db r-hmisc r-impute r-matrixstats r-preprocesscore r-rcpp r-survival)) (home-page "http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/") (synopsis "Weighted correlation network analysis") (description "This package provides functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. It includes functions for rudimentary data cleaning, construction and summarization of correlation networks, module identification and functions for relating both variables and modules to sample traits. It also includes a number of utility functions for data manipulation and visualization.") (license license:gpl2+))) (define-public r-rgraphviz (package (name "r-rgraphviz") (version "2.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rgraphviz" version)) (sha256 (base32 "03l6yr76inv4fivy10g0h2qafgywrcjnnhs694lwqz1y6r0gm1sy")))) (properties `((upstream-name . "Rgraphviz"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'make-reproducible (lambda _ ;; The replacement value is taken from src/graphviz/builddate.h (substitute* "src/graphviz/configure" (("VERSION_DATE=.*") "VERSION_DATE=20200427.2341\n")) #t))))) ;; FIXME: Rgraphviz bundles the sources of an older variant of ;; graphviz. It does not build with the latest version of graphviz, so ;; we do not add graphviz to the inputs. (inputs (list zlib)) (propagated-inputs (list r-graph)) (native-inputs (list pkg-config)) (home-page "https://bioconductor.org/packages/Rgraphviz") (synopsis "Plotting capabilities for R graph objects") (description "This package interfaces R with the graphviz library for plotting R graph objects from the @code{graph} package.") (license license:epl1.0))) (define-public r-fishpond (package (name "r-fishpond") (version "2.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "fishpond" version)) (sha256 (base32 "04vl4cp0izghm7h4xk7x48lqkq0dpl47dkd068lva33jygwwpvcz")))) (properties `((upstream-name . "fishpond"))) (build-system r-build-system) (propagated-inputs (list r-abind r-genomicranges r-gtools r-iranges r-jsonlite r-matrix r-matrixstats r-qvalue r-s4vectors r-singlecellexperiment r-summarizedexperiment r-svmisc)) (native-inputs (list r-knitr)) (home-page "https://github.com/mikelove/fishpond") (synopsis "Downstream methods and tools for expression data") (description "The @code{fishpond} package contains methods for differential transcript and gene expression analysis of RNA-seq data using inferential replicates for uncertainty of abundance quantification, as generated by Gibbs sampling or bootstrap sampling. Also the package contains a number of utilities for working with Salmon and Alevin quantification files.") (license license:gpl2))) (define-public r-fithic (package (name "r-fithic") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FitHiC" version)) (sha256 (base32 "0ygcq3xi55swsmysn539cr3m504rfb6zm30w747pa46r63dfjda7")))) (properties `((upstream-name . "FitHiC"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-fdrtool r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/FitHiC") (synopsis "Confidence estimation for intra-chromosomal contact maps") (description "Fit-Hi-C is a tool for assigning statistical confidence estimates to intra-chromosomal contact maps produced by genome-wide genome architecture assays such as Hi-C.") (license license:gpl2+))) (define-public r-hitc (package (name "r-hitc") (version "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "HiTC" version)) (sha256 (base32 "16svq29fm9xl3rl9v6lyxf564manvp8ryxj1mbxc4pb360wmi780")))) (properties `((upstream-name . "HiTC"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomeinfodb r-genomicranges r-iranges r-matrix r-rcolorbrewer r-rtracklayer)) (home-page "https://bioconductor.org/packages/HiTC") (synopsis "High throughput chromosome conformation capture analysis") (description "The HiTC package was developed to explore high-throughput \"C\" data such as 5C or Hi-C. Dedicated R classes as well as standard methods for quality controls, normalization, visualization, and further analysis are also provided.") (license license:artistic2.0))) (define-public r-hdf5array (package (name "r-hdf5array") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "HDF5Array" version)) (sha256 (base32 "0p52n96mydqszpq1ysmbh5xs4n4icqsd0gbxl5wpkcwvvhxliw8b")))) (properties `((upstream-name . "HDF5Array"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-biocgenerics r-delayedarray r-iranges r-matrix r-rhdf5 r-rhdf5filters r-rhdf5lib r-s4arrays r-s4vectors)) (home-page "https://bioconductor.org/packages/HDF5Array") (synopsis "HDF5 back end for DelayedArray objects") (description "This package provides an array-like container for convenient access and manipulation of HDF5 datasets. It supports delayed operations and block processing.") (license license:artistic2.0))) (define-public r-rhdf5lib (package (name "r-rhdf5lib") (version "1.24.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Rhdf5lib" version)) (sha256 (base32 "0lb5dkzfnfvxwrk8s9vzfjp8ab1sbr7b22jnzg41hgmpysi7dswh")) (modules '((guix build utils))) (snippet '(begin ;; Delete bundled binaries (delete-file-recursively "src/wininclude/") (delete-file-recursively "src/winlib/") (delete-file "src/hdf5small_cxx_hl_1.10.7.tar.gz"))))) (properties `((upstream-name . "Rhdf5lib"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'do-not-use-bundled-hdf5 (lambda* (#:key inputs #:allow-other-keys) (for-each delete-file '("configure" "configure.ac")) (substitute* "R/zzz.R" (("return\\(links\\)") "return(\" -lz\")")) (with-directory-excursion "src" (invoke "tar" "xvf" (assoc-ref inputs "hdf5-source")) (rename-file (string-append "hdf5-" ,(package-version hdf5-1.10)) "hdf5") ;; Remove timestamp and host system information to make ;; the build reproducible. (substitute* "hdf5/src/libhdf5.settings.in" (("Configured on: @CONFIG_DATE@") "Configured on: Guix") (("Uname information:.*") "Uname information: Linux\n") ;; Remove unnecessary store reference. (("C Compiler:.*") "C Compiler: GCC\n")) (rename-file "hdf5/src/libhdf5.settings.in" "hdf5/src/libhdf5.settings") (rename-file "Makevars.in" "Makevars") (substitute* "Makevars" (("@BUILD_HDF5@") "") (("@COPY_SZIP@") "") (("HDF5_CXX_LIB=.*") (string-append "HDF5_CXX_LIB=" (assoc-ref inputs "hdf5") "/lib/libhdf5_cpp.a\n")) (("HDF5_LIB=.*") (string-append "HDF5_LIB=" (assoc-ref inputs "hdf5") "/lib/libhdf5.a\n")) (("HDF5_CXX_INCLUDE=.*") "HDF5_CXX_INCLUDE=./hdf5/c++/src\n") (("HDF5_INCLUDE=.*") "HDF5_INCLUDE=./hdf5/src\n") (("HDF5_HL_INCLUDE=.*") "HDF5_HL_INCLUDE=./hdf5/hl/src\n") (("HDF5_HL_CXX_INCLUDE=.*") "HDF5_HL_CXX_INCLUDE=./hdf5/hl/c++/src\n") (("HDF5_HL_LIB=.*") (string-append "HDF5_HL_LIB=" (assoc-ref inputs "hdf5") "/lib/libhdf5_hl.a\n")) (("HDF5_HL_CXX_LIB=.*") (string-append "HDF5_HL_CXX_LIB=" (assoc-ref inputs "hdf5") "/lib/libhdf5_hl_cpp.a\n")) (("@ZLIB_LIB_PATH@") "-lz") (("@ZLIB_INCLUDE_PATH@") "") ;; szip is non-free software (("cp \"\\$\\{SZIP_LIB\\}.*") "") (("PKG_LIBS =.*") "PKG_LIBS = -lz -lhdf5\n")))))))) (propagated-inputs (list hdf5-1.10 r-biocstyle r-stringr zlib)) (native-inputs `(("hdf5-source" ,(package-source hdf5-1.10)) ("r-knitr" ,r-knitr) ("r-rmarkdown" ,r-rmarkdown))) (home-page "https://bioconductor.org/packages/Rhdf5lib") (synopsis "HDF5 library as an R package") (description "This package provides C and C++ HDF5 libraries for use in R packages.") (license license:artistic2.0))) (define-public r-beachmat (package (name "r-beachmat") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "beachmat" version)) (sha256 (base32 "1yixv6vs1q2k4vx17bq4nar3g4v2076i5dq77gh63mlka46qr3g2")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-delayedarray r-matrix r-rcpp r-sparsearray)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/beachmat") (synopsis "Compiling Bioconductor to handle each matrix type") (description "This package provides a consistent C++ class interface for a variety of commonly used matrix types, including sparse and HDF5-backed matrices.") (license license:gpl3))) (define-public r-beadarray (package (name "r-beadarray") (version "2.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "beadarray" version)) (sha256 (base32 "0qwka7549mlv2x80bjrzdsy4a6h35yxrhj2cxss9aigwsbjb7sjr")))) (properties `((upstream-name . "beadarray"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-beaddatapackr r-biobase r-biocgenerics r-genomicranges r-ggplot2 r-hexbin r-illuminaio r-iranges r-limma r-reshape2)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/beadarray") (synopsis "Quality assessment and low-level analysis for Illumina BeadArray data") (description "The package is able to read bead-level data (raw TIFFs and text files) output by BeadScan as well as bead-summary data from BeadStudio. Methods for quality assessment and low-level analysis are provided.") (license license:expat))) (define-public r-beadarraysnp (package (name "r-beadarraysnp") (version "1.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "beadarraySNP" version)) (sha256 (base32 "1vrizh7fpzv1w2gki0qxhphrfj1jj6m6bjsjsbw0b4n4invybzps")))) (properties `((upstream-name . "beadarraySNP"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-quantsmooth)) (home-page "https://bioconductor.org/packages/beadarraySNP") (synopsis "Normalization and reporting of Illumina SNP bead arrays") (description "This package is importing data from Illumina SNP experiments and it performs copy number calculations and reports.") (license license:gpl2))) (define-public r-beaddatapackr (package (name "r-beaddatapackr") (version "1.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BeadDataPackR" version)) (sha256 (base32 "0sfpdpw6qqffzb9skzx9w1ggcixc3wry9c6f2kwpsykbdsnk90xz")))) (properties `((upstream-name . "BeadDataPackR"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BeadDataPackR") (synopsis "Compression of Illumina BeadArray data") (description "This package provides functionality for the compression and decompression of raw bead-level data from the Illumina BeadArray platform.") (license license:gpl2))) ;; This package includes files that have been taken from kentutils. Some ;; parts of kentutils are not released under a free license, but this package ;; only uses files that are also found in the free parts of kentutils. (define-public r-cner (package (name "r-cner") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CNEr" version)) (sha256 (base32 "0kpz15l3yz26s2kskxk4093313c7vwi131y24wbpcdahicpqys2m")))) (properties `((upstream-name . "CNEr"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-annotate r-biocgenerics r-biostrings r-dbi r-genomeinfodb r-genomicalignments r-genomicranges r-ggplot2 r-go-db r-iranges r-keggrest r-powerlaw r-r-utils r-readr r-reshape2 r-rsqlite r-rtracklayer r-s4vectors r-xvector)) (native-inputs (list r-knitr)) (home-page "https://github.com/ge11232002/CNEr") (synopsis "CNE Detection and Visualization") (description "This package provides tools for large-scale identification and advanced visualization of sets of conserved noncoding elements.") ;; For all files in src/ucsc "license is hereby granted for all use - ;; public, private or commercial"; this includes those files that don't ;; have a license header, because they are included in the free parts of ;; the kentutils package. (license (list license:gpl2 (license:non-copyleft "https://raw.githubusercontent.com/ucscGenomeBrowser/kent/v410_base/src/lib/LICENSE"))))) (define-public r-tfbstools (package (name "r-tfbstools") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TFBSTools" version)) (sha256 (base32 "18msr889nygk1c3wsjxc9bv989zakkl9f1h2a6cnfy8rxhbxpvwq")))) (properties `((upstream-name . "TFBSTools"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-catools r-cner r-dbi r-dirichletmultinomial r-genomeinfodb r-genomicranges r-gtools r-iranges r-rsqlite r-rtracklayer r-s4vectors r-seqlogo r-tfmpvalue r-xml r-xvector)) (native-inputs (list r-knitr)) (home-page "https://github.com/ge11232002/TFBSTools") (synopsis "Transcription factor binding site (TFBS) analysis") (description "TFBSTools is a package for the analysis and manipulation of transcription factor binding sites. It includes matrices conversion between @dfn{Position Frequency Matrix} (PFM), @dfn{Position Weight Matrix} (PWM) and @dfn{Information Content Matrix} (ICM). It can also scan putative TFBS from sequence/alignment, query JASPAR database and provides a wrapper of de novo motif discovery software.") (license license:gpl2))) (define-public r-maftools (package (name "r-maftools") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "maftools" version)) (sha256 (base32 "025wlqnx13ldzyrf72mrfj492d62i4xyjbhpmgavgld0jwfmr3ga")))) (properties `((upstream-name . "maftools"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-dnacopy r-rcolorbrewer r-rhtslib r-survival r-zlibbioc)) (native-inputs (list r-knitr)) (home-page "https://github.com/PoisonAlien/maftools") (synopsis "Summarize, analyze and visualize MAF files") (description "Analyze and visualize Mutation Annotation Format (MAF) files from large scale sequencing studies. This package provides various functions to perform most commonly used analyses in cancer genomics and to create feature rich customizable visualzations with minimal effort.") (license license:expat))) (define-public r-motifmatchr (package (name "r-motifmatchr") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "motifmatchr" version)) (sha256 (base32 "13kkg9xpyvgqpsaz5f96pd43i8a45jrbnzqmax793zkv4ai8p16j")))) (properties `((upstream-name . "motifmatchr"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome r-genomeinfodb r-genomicranges r-iranges r-matrix r-rcpp r-rcpparmadillo r-rsamtools r-s4vectors r-summarizedexperiment r-tfbstools)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/motifmatchr") (synopsis "Fast motif matching in R") (description "Quickly find motif matches for many motifs and many sequences. This package wraps C++ code from the MOODS motif calling library.") (license license:gpl3))) (define-public r-chromvar (package (name "r-chromvar") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "chromVAR" version)) (sha256 (base32 "1vy650625b9b2dgnkgh5h0kw5bkdvfin133091asf1nw4jgnn1vx")))) (properties `((upstream-name . "chromVAR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-dt r-genomeinfodb r-genomicranges r-ggplot2 r-iranges r-matrix r-miniui r-nabor r-plotly r-rcolorbrewer r-rcpp r-rcpparmadillo r-rsamtools r-rtsne r-s4vectors r-shiny r-summarizedexperiment r-tfbstools)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/release/bioc/html/chromVAR.html") (synopsis "Determine chromatin variation across regions") (description "This package @code{r-chromvar} determines variation in chromatin accessibility across sets of annotations or peaks. @code{r-chromvar} is designed primarily for single-cell or sparse chromatin accessibility data like single cell assay for transposase-accessible chromatin using sequencing (@code{scATAC-seq} or sparse bulk ATAC or deoxyribonuclease sequence (@code{DNAse-seq}) experiments.") (license license:expat))) (define-public r-singlecellexperiment (package (name "r-singlecellexperiment") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SingleCellExperiment" version)) (sha256 (base32 "0q44n97mly1ldh52r0sb1jwhz8bn4n7sfw99qs5h4s44w9s0fry4")))) (properties `((upstream-name . "SingleCellExperiment"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-delayedarray r-genomicranges r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/SingleCellExperiment") (synopsis "S4 classes for single cell data") (description "This package defines an S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries.") (license license:gpl3))) (define-public r-singler (package (name "r-singler") (version "2.4.1") (source (origin (method url-fetch) (uri (bioconductor-uri "SingleR" version)) (sha256 (base32 "0zlv45diasff5ipxp99dddswclrzzdcmkqp278fm2cj7aibvb3sd")))) (properties `((upstream-name . "SingleR"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-biocneighbors r-biocparallel r-biocsingular r-delayedarray r-delayedmatrixstats r-matrix r-rcpp r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/LTLA/SingleR") (synopsis "Reference-based single-cell RNA-seq annotation") (description "This package performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the cell of origin of each single cell independently.") (license license:gpl3))) (define-public r-scuttle (package (name "r-scuttle") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scuttle" version)) (sha256 (base32 "090arfacfs09x7g60qxz4bj2gqb97y3kmhafywkgnrj7pz1z0qzq")))) (properties `((upstream-name . "scuttle"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-biocgenerics r-biocparallel r-delayedarray r-delayedmatrixstats r-genomicranges r-matrix r-rcpp r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/scuttle") (synopsis "Single-cell RNA-Seq analysis utilities") (description "This package provides basic utility functions for performing single-cell analyses, focusing on simple normalization, quality control and data transformations. It also provides some helper functions to assist development of other packages.") (license license:gpl3))) (define-public r-scater (package (name "r-scater") (version "1.30.1") (source (origin (method url-fetch) (uri (bioconductor-uri "scater" version)) (sha256 (base32 "06a4nxxsgmi435m06ir401w4fbrh0xdgh6mkv3i7vw001yrbrfcx")))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-biocgenerics r-biocneighbors r-biocparallel r-biocsingular r-delayedarray r-ggbeeswarm r-ggplot2 r-ggrastr r-ggrepel r-matrix r-matrixgenerics r-pheatmap r-rcolorbrewer r-rcppml r-rlang r-rtsne r-s4vectors r-scuttle r-singlecellexperiment r-summarizedexperiment r-uwot r-viridis)) (native-inputs (list r-knitr)) (home-page "https://github.com/davismcc/scater") (synopsis "Single-cell analysis toolkit for gene expression data in R") (description "This package provides a collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control.") (license license:gpl2+))) (define-public r-scran (package (name "r-scran") (version "1.30.1") (source (origin (method url-fetch) (uri (bioconductor-uri "scran" version)) (sha256 (base32 "02840dw467dqdg09abxlzps1l1xnzhinlmpmqgfsq70pzqf7jywk")))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-bh r-biocgenerics r-biocparallel r-biocsingular r-bluster r-delayedarray r-delayedmatrixstats r-dqrng r-edger r-igraph r-limma r-matrix r-metapod r-rcpp r-s4vectors r-scuttle r-singlecellexperiment r-statmod r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/scran") (synopsis "Methods for single-cell RNA-Seq data analysis") (description "This package implements a variety of low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, and detection of highly variable and significantly correlated genes.") (license license:gpl3))) (define-public r-sparsearray (package (name "r-sparsearray") (version "1.2.3") (source (origin (method url-fetch) (uri (bioconductor-uri "SparseArray" version)) (sha256 (base32 "19cy1nmmi65fxh012ymgp1kg112yl1m0khcs4y034p5iwlfv7fp6")))) (properties `((upstream-name . "SparseArray"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-iranges r-matrix r-matrixgenerics r-matrixstats r-s4arrays r-s4vectors r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/SparseArray") (synopsis "Efficient in-memory representation of multidimensional sparse arrays") (description "The @code{SparseArray} package is an infrastructure package that provides an array-like container for efficient in-memory representation of multidimensional sparse data in R. The package defines the @code{SparseArray} virtual class and two concrete subclasses: @code{COO_SparseArray} and @code{SVT_SparseArray}. Each subclass uses its own internal representation of the nonzero multidimensional data, the \"COO layout\" and the \"SVT layout\", respectively. @code{SVT_SparseArray} objects mimic as much as possible the behavior of ordinary matrix and array objects in base R. In particular, they suppport most of the \"standard matrix and array API\" defined in base R and in the @code{matrixStats} package from CRAN.") (license license:artistic2.0))) (define-public r-sparsematrixstats (package (name "r-sparsematrixstats") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "sparseMatrixStats" version)) (sha256 (base32 "0r2jxwha2xjp8iy7al85s5vib4xvl47gmlbbvvjj4wnz2gfzic9r")))) (properties `((upstream-name . "sparseMatrixStats"))) (build-system r-build-system) (propagated-inputs (list r-matrix r-matrixgenerics r-matrixstats r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/sparseMatrixStats/") (synopsis "Summary statistics for rows and columns of sparse matrices") (description "This package provides high performance functions for row and column operations on sparse matrices. Currently, the optimizations are limited to data in the column sparse format.") (license license:expat))) (define-public r-spatialexperiment (package (name "r-spatialexperiment") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SpatialExperiment" version)) (sha256 (base32 "1s42jzq95f662h39zmbf06qmrrglbch8sgygpnwqblrjbrqgm7n4")))) (properties `((upstream-name . "SpatialExperiment"))) (build-system r-build-system) (propagated-inputs (list r-biocfilecache r-biocgenerics r-magick r-rjson r-s4vectors r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/drighelli/SpatialExperiment") (synopsis "S4 class for spatially resolved -omics data") (description "This package defines an S4 class for storing data from spatial -omics experiments. The class extends SingleCellExperiment to support storage and retrieval of additional information from spot-based and molecule-based platforms, including spatial coordinates, images, and image metadata. A specialized constructor function is included for data from the 10x Genomics Visium platform.") (license license:gpl3))) (define-public r-delayedmatrixstats (package (name "r-delayedmatrixstats") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DelayedMatrixStats" version)) (sha256 (base32 "18r5rfx46lac0kaakha4gqs4pj8vb39z0908gpclmp3ajca4hzb1")))) (properties `((upstream-name . "DelayedMatrixStats"))) (build-system r-build-system) (propagated-inputs (list r-delayedarray r-iranges r-matrix r-matrixgenerics r-s4vectors r-sparsematrixstats)) (native-inputs (list r-knitr)) (home-page "https://github.com/PeteHaitch/DelayedMatrixStats") (synopsis "Functions that apply to rows and columns of DelayedMatrix objects") (description "This package provides a port of the @code{matrixStats} API for use with @code{DelayedMatrix} objects from the @code{DelayedArray} package. It contains high-performing functions operating on rows and columns of @code{DelayedMatrix} objects, e.g. @code{colMedians}, @code{rowMedians}, @code{colRanks}, @code{rowRanks}, @code{colSds}, and @code{rowSds}. Functions are optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized.") (license license:expat))) (define-public r-mscoreutils (package (name "r-mscoreutils") (version "1.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "MsCoreUtils" version)) (sha256 (base32 "0l6rdkpg89pds3n5y4khvaifgbvm38n0vlpi15h97rnk8x461rsz")))) (properties `((upstream-name . "MsCoreUtils"))) (build-system r-build-system) (propagated-inputs (list r-clue r-mass r-rcpp r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/RforMassSpectrometry/MsCoreUtils") (synopsis "Core utils for mass spectrometry data") (description "This package defines low-level functions for mass spectrometry data and is independent of any high-level data structures. These functions include mass spectra processing functions (noise estimation, smoothing, binning), quantitative aggregation functions (median polish, robust summarisation, etc.), missing data imputation, data normalisation (quantiles, vsn, etc.) as well as misc helper functions, that are used across high-level data structure within the R for Mass Spectrometry packages.") (license license:artistic2.0))) (define-public r-msfeatures (package (name "r-msfeatures") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MsFeatures" version)) (sha256 (base32 "0vpsc7i6j2skn6wba178iy406yvd4p8xf3lq2qmm2inimxl983cs")))) (properties `((upstream-name . "MsFeatures"))) (build-system r-build-system) (propagated-inputs (list r-mscoreutils r-protgenerics r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/RforMassSpectrometry/MsFeatures") (synopsis "Functionality for mass spectrometry features") (description "The MsFeature package defines functionality for Mass Spectrometry features. This includes functions to group (LC-MS) features based on some of their properties, such as retention time (coeluting features), or correlation of signals across samples. This package hence can be used to group features, and its results can be used as an input for the @code{QFeatures} package which allows aggregating abundance levels of features within each group. This package defines concepts and functions for base and common data types, implementations for more specific data types are expected to be implemented in the respective packages (such as e.g. @code{xcms}).") (license license:artistic2.0))) (define-public r-biocio (package (name "r-biocio") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocIO" version)) (sha256 (base32 "0bn2jknvj2ag1yv67kjqr7gsq771rmqv3my9njjkwcc9nzrxzhbp")))) (properties `((upstream-name . "BiocIO"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocIO") (synopsis "Standard input and output for Bioconductor packages") (description "This package implements `import()` and `export()` standard generics for importing and exporting biological data formats. `import()` supports whole-file as well as chunk-wise iterative import. The `import()` interface optionally provides a standard mechanism for 'lazy' access via `filter()` (on row or element-like components of the file resource), `select()` (on column-like components of the file resource) and `collect()`. The `import()` interface optionally provides transparent access to remote (e.g. via https) as well as local access. Developers can register a file extension, e.g., `.loom` for dispatch from character-based URIs to specific `import()` / `export()` methods based on classes representing file types, e.g., `LoomFile()`.") (license license:artistic2.0))) (define-public r-msmseda (package (name "r-msmseda") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "msmsEDA" version)) (sha256 (base32 "0xxjkr3x654n61q2yda09cghvssyx4ml9g22gfzfhbzjp8j7pm2c")))) (properties `((upstream-name . "msmsEDA"))) (build-system r-build-system) (propagated-inputs (list r-gplots r-mass r-msnbase r-rcolorbrewer)) (home-page "https://bioconductor.org/packages/msmsEDA") (synopsis "Exploratory data analysis of LC-MS/MS data by spectral counts") (description "Exploratory data analysis to assess the quality of a set of LC-MS/MS experiments, and visualize de influence of the involved factors.") (license license:gpl2))) (define-public r-msmstests (package (name "r-msmstests") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "msmsTests" version)) (sha256 (base32 "0dif4yvm9hfrnamjph5xa9cbf41f2v8lbgyr88f11alwwbf0dg69")))) (properties `((upstream-name . "msmsTests"))) (build-system r-build-system) (propagated-inputs (list r-edger r-msmseda r-msnbase r-qvalue)) (home-page "https://bioconductor.org/packages/msmsTests") (synopsis "Differential LC-MS/MS expression tests") (description "This package provides statistical tests for label-free LC-MS/MS data by spectral counts, to discover differentially expressed proteins between two biological conditions. Three tests are available: Poisson GLM regression, quasi-likelihood GLM regression, and the negative binomial of the edgeR package. The three models admit blocking factors to control for nuisance variables. To assure a good level of reproducibility a post-test filter is available, where we may set the minimum effect size considered biologicaly relevant, and the minimum expression of the most abundant condition.") (license license:gpl2))) (define-public r-catalyst (package (name "r-catalyst") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CATALYST" version)) (sha256 (base32 "0dfg9ib0imk8bmhycqrspnn8yvfdlchwvx39wgqxi5fb9zrppfz4")))) (properties `((upstream-name . "CATALYST"))) (build-system r-build-system) (propagated-inputs (list r-circlize r-complexheatmap r-consensusclusterplus r-cowplot r-data-table r-dplyr r-drc r-flowcore r-flowsom r-ggplot2 r-ggrepel r-ggridges r-gridextra r-matrix r-matrixstats r-nnls r-purrr r-rcolorbrewer r-reshape2 r-rtsne r-s4vectors r-scales r-scater r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/HelenaLC/CATALYST") (synopsis "Cytometry data analysis tools") (description "This package is @dfn{Cytometry dATa anALYSis Tools} (CATALYST). Mass cytometry like @dfn{Cytometry by time of flight} (CyTOF) uses heavy metal isotopes rather than fluorescent tags as reporters to label antibodies, thereby substantially decreasing spectral overlap and allowing for examination of over 50 parameters at the single cell level. While spectral overlap is significantly less pronounced in CyTOF than flow cytometry, spillover due to detection sensitivity, isotopic impurities, and oxide formation can impede data interpretability. @code{CATALYST} was designed to provide a pipeline for preprocessing of cytometry data, including: @enumerate @item normalization using bead standards; @item single-cell deconvolution; @item bead-based compensation. @end enumerate ") (license license:gpl2+))) (define-public r-erma (package (name "r-erma") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "erma" version)) (sha256 (base32 "0vapjfzhwlzxd049fsr00jd7lp48h9qwd95m2sqhqryqz1vsi7hz")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biocparallel r-genomeinfodb r-genomicfiles r-genomicranges r-ggplot2 r-homo-sapiens r-iranges r-rtracklayer r-s4vectors r-shiny r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/erma") (synopsis "Epigenomic road map adventures") (description "The epigenomics road map describes locations of epigenetic marks in DNA from a variety of cell types. Of interest are locations of histone modifications, sites of DNA methylation, and regions of accessible chromatin. This package presents a selection of elements of the road map including metadata and outputs of the ChromImpute procedure applied to ENCODE cell lines by Ernst and Kellis.") (license license:artistic2.0))) (define-public r-ggbio (package (name "r-ggbio") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ggbio" version)) (sha256 (base32 "1chs58ifpwz4crcl5ymnb8ah3wf2jrn9lla3ljsywqiqn0r3i1am")))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases ;; See https://github.com/tengfei/ggbio/issues/117 ;; This fix will be included in the next release. (add-after 'unpack 'fix-typo (lambda _ (substitute* "R/GGbio-class.R" (("fechable") "fetchable")) #t))))) (propagated-inputs (list r-annotationdbi r-annotationfilter r-biobase r-biocgenerics r-biostrings r-biovizbase r-bsgenome r-ensembldb r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-ggally r-ggplot2 r-gridextra r-gtable r-hmisc r-iranges r-organismdbi r-reshape2 r-rlang r-rsamtools r-rtracklayer r-s4vectors r-scales r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "http://www.tengfei.name/ggbio/") (synopsis "Visualization tools for genomic data") (description "The ggbio package extends and specializes the grammar of graphics for biological data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.") (license license:artistic2.0))) (define-public r-gqtlbase (package (name "r-gqtlbase") (version "1.21.1") (source (origin (method url-fetch) (uri (bioconductor-uri "gQTLBase" version)) (sha256 (base32 "0nipibm1bk9k70ajbw1f6vjmz0dh7gk21l17q3m54bnawxsggrfh")))) (properties `((upstream-name . "gQTLBase"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases ;; This is an upstream bug. (add-after 'unpack 'fix-imports (lambda _ (substitute* "NAMESPACE" ((".*maxffmode.*") "") (("importFrom\\(ff,.*") "import(ff)\n")) #t))))) (propagated-inputs (list r-batchjobs r-bbmisc r-biocgenerics r-bit r-doparallel r-ff r-ffbase r-foreach r-genomicfiles r-genomicranges r-rtracklayer r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/gQTLBase") (synopsis "Infrastructure for eQTL, mQTL and similar studies") (description "The purpose of this package is to simplify the storage and interrogation of @dfn{quantitative trait loci} (QTL) archives, such as eQTL, mQTL, dsQTL, and more.") (license license:artistic2.0))) (define-public r-gqtlstats (package (name "r-gqtlstats") (version "1.21.3") (source (origin (method url-fetch) (uri (bioconductor-uri "gQTLstats" version)) (sha256 (base32 "1h78l23idf867djmdk97b02jxgmz4vfr2dai01fp648d0lsx5mkl")))) (properties `((upstream-name . "gQTLstats"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-batchjobs r-bbmisc r-beeswarm r-biobase r-biocgenerics r-doparallel r-dplyr r-erma r-ffbase r-foreach r-genomeinfodb r-genomicfeatures r-genomicfiles r-genomicranges r-ggbeeswarm r-ggplot2 r-gqtlbase r-hardyweinberg r-homo-sapiens r-iranges r-limma r-mgcv r-plotly r-reshape2 r-s4vectors r-shiny r-snpstats r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/gQTLstats") (synopsis "Computationally efficient analysis for eQTL and allied studies") (description "This package provides tools for the computationally efficient analysis of @dfn{quantitative trait loci} (QTL) data, including eQTL, mQTL, dsQTL, etc. The software in this package aims to support refinements and functional interpretation of members of a collection of association statistics on a family of feature/genome hypotheses.") (license license:artistic2.0))) (define-public r-gviz (package (name "r-gviz") (version "1.46.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Gviz" version)) (sha256 (base32 "0an8hd2g2hp3p1vfsmxq77fm71xlf5g73j4w5mcy28x1aj073zxf")))) (properties `((upstream-name . "Gviz"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-biocgenerics r-biomart r-biostrings r-biovizbase r-bsgenome r-digest r-ensembldb r-genomeinfodb r-genomicalignments r-genomicfeatures r-genomicranges r-iranges r-lattice r-latticeextra r-matrixstats r-rcolorbrewer r-rsamtools r-rtracklayer r-s4vectors r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Gviz") (synopsis "Plotting data and annotation information along genomic coordinates") (description "Genomic data analyses requires integrated visualization of known genomic information and new experimental data. Gviz uses the biomaRt and the rtracklayer packages to perform live annotation queries to Ensembl and UCSC and translates this to e.g. gene/transcript structures in viewports of the grid graphics package. This results in genomic information plotted together with your data.") (license license:artistic2.0))) (define-public r-gwascat (package (name "r-gwascat") (version "2.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gwascat" version)) (sha256 (base32 "028n8v1pgkr1q5s9wslql8ayk1cbx6a9a2rjka9pdwz6rq1iyagy")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationhub r-biocfilecache r-biostrings r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-readr r-s4vectors r-snpstats r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/gwascat") (synopsis "Tools for data in the EMBL-EBI GWAS catalog") (description "This package provides tools for representing and modeling data in the EMBL-EBI GWAS catalog.") (license license:artistic2.0))) (define-public r-gwastools (package (name "r-gwastools") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GWASTools" version)) (sha256 (base32 "1rjgdcw65zmmg5dy9mdaz720nvqk03bfsfvkdsa1wwhvlnxmscp8")))) (properties `((upstream-name . "GWASTools"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-data-table r-dbi r-dnacopy r-gdsfmt r-gwasexacthw r-lmtest r-logistf r-quantsmooth r-rsqlite r-sandwich r-survival)) (native-inputs (list r-knitr)) (home-page "https://github.com/smgogarten/GWASTools") (synopsis "Tools for Genome Wide Association Studies") (description "This package provides classes for storing very large GWAS data sets and annotation, and functions for GWAS data cleaning and analysis.") (license license:artistic2.0))) (define-public r-kegggraph (package (name "r-kegggraph") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "KEGGgraph" version)) (sha256 (base32 "0i9iqr87mqih0rkbjx3wa383x4yfyzpcb0b0xzairbqgygvcq4kl")))) (properties `((upstream-name . "KEGGgraph"))) (build-system r-build-system) (propagated-inputs (list r-graph r-rcurl r-rgraphviz r-xml)) (home-page "https://bioconductor.org/packages/KEGGgraph") (synopsis "Graph approach to Kegg Pathway database in R and Bioconductor") (description "@code{r-kegggraph} is an interface between Kegg Pathway database and graph object as well as a collection of tools to analyze, dissect and visualize these graphs. It parses the regularly updated kgml (Kegg XML) files into graph models maintaining all essential pathway attributes. The package offers functionalities including parsing, graph operation, visualization and etc.") (license license:gpl2+))) (define-public r-ldblock (package (name "r-ldblock") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ldblock" version)) (sha256 (base32 "1caxzc99kga2c90m2ydmnvcd8lfp0igmmickpl0ikrhwjlbfnc0p")))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-httr r-matrix r-rlang)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ldblock") (synopsis "Data structures for linkage disequilibrium measures in populations") (description "This package defines data structures for @dfn{linkage disequilibrium} (LD) measures in populations. Its purpose is to simplify handling of existing population-level data for the purpose of flexibly defining LD blocks.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on r-snpstats, which is a ;; Bioconductor package. (define-public r-ldheatmap (package (name "r-ldheatmap") (version "1.0-6") (source (origin (method url-fetch) (uri (cran-uri "LDheatmap" version)) (sha256 (base32 "0gr99kys1ahyl8s6cbj6rmh4vwid8kn92lcbjnwh0ahb73m2xjjc")))) (properties `((upstream-name . "LDheatmap"))) (build-system r-build-system) (propagated-inputs (list r-genetics r-rcpp r-snpstats)) (home-page "https://stat.sfu.ca/statgen/research/ldheatmap.html") (synopsis "Graphical display of pairwise linkage disequilibria between SNPs") (description "This package provides tools to produce a graphical display, as a heat map, of measures of pairwise linkage disequilibria between SNPs. Users may optionally include the physical locations or genetic map distances of each SNP on the plot.") (license license:gpl3))) ;; This is a CRAN package, but it depends on r-rgraphviz, which is a ;; Bioconductor package. (define-public r-abn (package (name "r-abn") (version "3.0.4") (source (origin (method url-fetch) (uri (cran-uri "abn" version)) (sha256 (base32 "1qqsm6ldbf6rnzvspcnv87l4mkxccg4divzf6nj7j92jnhyadqia")))) (build-system r-build-system) (inputs (list gsl)) (propagated-inputs (list r-doparallel r-foreach r-graph r-lme4 r-mclogit r-nnet r-rcpp r-rcpparmadillo r-rgraphviz r-rjags r-stringi)) (native-inputs (list r-r-rsp)) (home-page "https://r-bayesian-networks.org/") (synopsis "Modelling multivariate data with additive bayesian networks") (description "Bayesian network analysis is a form of probabilistic graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a @dfn{generalized linear model} (GLM). Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modelling, they generalises the usual multivariable regression, GLM, to multiple dependent variables. This package provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on r-rsamtools, which is a ;; Bioconductor package. (define-public r-spp (package (name "r-spp") (version "1.16.0") (source (origin (method url-fetch) (uri (cran-uri "spp" version)) (sha256 (base32 "08zxxgyp0h6733b08jmml7k4rhfd3mi5dda3jrzid0s184y0z29w")))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-bh r-catools r-rcpp r-rsamtools)) (home-page "https://cran.r-project.org/web/packages/spp/") (synopsis "ChIP-Seq processing pipeline") (description "This package provides tools for analysis of ChIP-seq and other functional sequencing data.") (license license:gpl2))) (define-public r-parody (package (name "r-parody") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "parody" version)) (sha256 (base32 "05mhbkhyh92bwmx37fpviprr9i4z0i6g24l71zk17gq0f8hwb4jj")))) (properties `((upstream-name . "parody"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/parody") (synopsis "Parametric and resistant outlier detection") (description "The parody package provides routines for univariate and multivariate outlier detection with a focus on parametric methods, but support for some methods based on resistant statistics.") (license license:artistic2.0))) (define-public r-pathview (package (name "r-pathview") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pathview" version)) (sha256 (base32 "17kl7yvpjhsb52kz1pw3jnk6s480lnpvvh9rragndixsl8bkmqmc")))) (properties `((upstream-name . "pathview"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-graph r-kegggraph r-keggrest r-org-hs-eg-db r-png r-rgraphviz r-xml)) (home-page "https://pathview.uncc.edu/") (synopsis "Tool set for pathway based data integration and visualization") (description "@code{r-pathview} is a tool set for pathway based data integration and visualization. It maps and renders a wide variety of biological data on relevant pathway graphs. All users need is to supply their data and specify the target pathway. This package automatically downloads the pathway graph data, parses the data file, maps user data to the pathway, and render pathway graph with the mapped data. In addition, @code{r-pathview} also seamlessly integrates with pathway and gene set (enrichment) analysis tools for large-scale and fully automated analysis.") (license license:gpl3+))) (define-public r-snapcgh (package (name "r-snapcgh") (version "1.72.0") (source (origin (method url-fetch) (uri (bioconductor-uri "snapCGH" version)) (sha256 (base32 "0knjspxzc3z5dhx0a6kx9rkic85w65l84vy552x5bv8jzxkcwrsj")))) (properties `((upstream-name . "snapCGH"))) (build-system r-build-system) (propagated-inputs (list r-acgh r-cluster r-dnacopy r-glad r-limma r-tilingarray)) (home-page "https://bioconductor.org/packages/snapCGH") (synopsis "Segmentation, normalisation and processing of the aCGH data") (description "This package provides methods for segmenting, normalising and processing aCGH data. snapCGH also includes plotting functions for visualising raw and segmented data for individual and multiple arrays.") ;; Expanded from GPL (license (list license:gpl2+ license:gpl3+)))) (define-public r-snprelate (package (name "r-snprelate") (version "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SNPRelate" version)) (sha256 (base32 "0jw9ziz0a472mnnvmqwas5w646xfgx8dn1bdpwz8c99m663d8ayp")))) (properties `((upstream-name . "SNPRelate"))) (build-system r-build-system) (propagated-inputs (list r-gdsfmt)) (native-inputs (list r-knitr)) (home-page "https://github.com/zhengxwen/SNPRelate") (synopsis "Toolset for relatedness and Principal Component Analysis of SNP data") (description "Genome-wide association studies (GWAS) are widely used to investigate the genetic basis of diseases and traits, but they pose many computational challenges. The R package SNPRelate provides a binary format for single-nucleotide polymorphism (SNP) data in GWAS utilizing CoreArray Genomic Data Structure (GDS) data files. The GDS format offers the efficient operations specifically designed for integers with two bits, since a SNP could occupy only two bits. SNPRelate is also designed to accelerate two key computations on SNP data using parallel computing for multi-core symmetric multiprocessing computer architectures: Principal Component Analysis (PCA) and relatedness analysis using Identity-By-Descent measures. The SNP GDS format is also used by the GWASTools package with the support of S4 classes and generic functions. The extended GDS format is implemented in the SeqArray package to support the storage of single nucleotide variations (SNVs), insertion/deletion polymorphism (indel) and structural variation calls in whole-genome and whole-exome variant data.") (license license:gpl3))) (define-public r-snpstats (package (name "r-snpstats") (version "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "snpStats" version)) (sha256 (base32 "0a4kyv93ljv7n62ghx66l81q6sw24llr0998nsalidyws1wldbyr")))) (properties `((upstream-name . "snpStats"))) (build-system r-build-system) (inputs (list zlib)) (propagated-inputs (list r-biocgenerics r-matrix r-survival r-zlibbioc)) (home-page "https://bioconductor.org/packages/snpStats") (synopsis "Methods for SNP association studies") (description "This package provides classes and statistical methods for large @dfn{single-nucleotide polymorphism} (SNP) association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.") (license license:gpl3))) (define-public r-chromstar (package (name "r-chromstar") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "chromstaR" version)) (sha256 (base32 "1yykcqxp8y7by4jgh6dfl25m0pnghj36qy21990n2sdfv1kpg2x6")))) (properties `((upstream-name . "chromstaR"))) (build-system r-build-system) (propagated-inputs (list r-bamsignals r-biocgenerics r-chromstardata r-doparallel r-foreach r-genomeinfodb r-genomicalignments r-genomicranges r-ggplot2 r-iranges r-mvtnorm r-reshape2 r-rsamtools r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://github.com/ataudt/chromstaR") (synopsis "Chromatin state analysis for ChIP-Seq data") (description "This package implements functions for combinatorial and differential analysis of ChIP-seq data. It includes uni- and multivariate peak-calling, export to genome browser viewable files, and functions for enrichment analyses.") (license license:artistic2.0))) (define-public r-guitar (package (name "r-guitar") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Guitar" version)) (sha256 (base32 "09i6j8dcmzvd9gh9629523hw0hbng18jdqw5gf1r31ck8m8wwmnc")))) (properties `((upstream-name . "Guitar"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-dplyr r-genomicfeatures r-genomicranges r-ggplot2 r-knitr r-magrittr r-rtracklayer)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Guitar") (synopsis "Visualize genomic features") (description "This package is designed for visualization of RNA-related genomic features with respect to the landmarks of RNA transcripts, i.e., transcription starting site, start codon, stop codon and transcription ending site.") (license license:gpl2))) (define-public r-sushi (package (name "r-sushi") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Sushi" version)) (sha256 (base32 "0adswrbzd93rhy3q56ypwkrk6155vd4zxapvznswyjlxp8ha813q")))) (properties `((upstream-name . "Sushi"))) (build-system r-build-system) (propagated-inputs (list r-biomart r-zoo)) (home-page "https://bioconductor.org/packages/Sushi") (synopsis "Tools for visualizing genomics data") (description "This package provides flexible, quantitative, and integrative genomic visualizations for publication-quality multi-panel figures.") (license license:gpl2+))) (define-public r-ballgown (package (name "r-ballgown") (version "2.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ballgown" version)) (sha256 (base32 "1r3qz6y97zhp7swcv2ls1h6cz0l66y5ap00wx9wlqxv14sljd135")))) (properties `((upstream-name . "ballgown"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-genomeinfodb r-genomicranges r-iranges r-limma r-rcolorbrewer r-rtracklayer r-s4vectors r-sva)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/ballgown") (synopsis "Flexible, isoform-level differential expression analysis") (description "This package provides tools for statistical analysis of assembled transcriptomes, including flexible differential expression analysis, visualization of transcript structures, and matching of assembled transcripts to annotation.") (license license:artistic2.0))) (define-public r-megadepth (package (name "r-megadepth") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "megadepth" version)) (sha256 (base32 "0g9d4q6vh2ys1la15fqgbc4ckfbjbzzaqa49x9liqrhpnrp59vc3")))) (properties `((upstream-name . "megadepth"))) (build-system r-build-system) (inputs (list megadepth)) (propagated-inputs (list r-cmdfun r-dplyr r-fs r-genomicranges r-magrittr r-readr r-xfun)) (native-inputs (list r-knitr)) (home-page "https://github.com/LieberInstitute/megadepth") (synopsis "BigWig and BAM related utilities") (description "This package provides an R interface to Megadepth. It is particularly useful for computing the coverage of a set of genomic regions across bigWig or BAM files. With this package, you can build base-pair coverage matrices for regions or annotations of your choice from BigWig files.") (license license:artistic2.0))) (define-public r-beclear (package (name "r-beclear") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BEclear" version)) (sha256 (base32 "1a8jmlx17qcx9qzcaxbnlk6qji6hqxcnzmr8zvar9jrfhx0cv9x1")))) (properties `((upstream-name . "BEclear"))) (build-system r-build-system) (propagated-inputs (list r-abind r-biocparallel r-data-table r-dixontest r-futile-logger r-ids r-matrix r-rcpp r-rdpack)) (native-inputs (list r-knitr)) (home-page "https://github.com/uds-helms/BEclear") (synopsis "Correction of batch effects in DNA methylation data") (description "This package provides functions to detect and correct for batch effects in DNA methylation data. The core function is based on latent factor models and can also be used to predict missing values in any other matrix containing real numbers.") (license license:gpl3))) (define-public r-bgeecall (package (name "r-bgeecall") (version "1.18.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BgeeCall" version)) (sha256 (base32 "1ipypkyfqx6mahiwl0gzdsi7z9j9cm5rgfw4ybgh6blfq8kg9qyk")))) (properties `((upstream-name . "BgeeCall"))) (build-system r-build-system) (propagated-inputs (list kallisto r-biomart r-biostrings r-data-table r-dplyr r-genomicfeatures r-jsonlite r-rhdf5 r-rslurm r-rtracklayer r-sjmisc r-tximport)) (native-inputs (list r-knitr)) (home-page "https://github.com/BgeeDB/BgeeCall") (synopsis "RNA-Seq present/absent gene expression calls generation") (description "BgeeCall allows generating present/absent gene expression calls without using an arbitrary cutoff like TPM<1. Calls are generated based on reference intergenic sequences. These sequences are generated based on expression of all RNA-Seq libraries of each species integrated in Bgee.") (license license:gpl3))) (define-public r-bgeedb (package (name "r-bgeedb") (version "2.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BgeeDB" version)) (sha256 (base32 "1ahip21wihwg9yhq0ya1cyzd2cq423hz9pd6iql6y3yhld4j5rnn")))) (properties `((upstream-name . "BgeeDB"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-curl r-data-table r-digest r-dplyr r-graph r-r-utils r-rcurl r-rsqlite r-tidyr r-topgo)) (native-inputs (list r-knitr)) (home-page "https://github.com/BgeeDB/BgeeDB_R") (synopsis "Annotation and gene expression data retrieval from Bgee database") (description "This package provides a package for the annotation and gene expression data download from Bgee database, and TopAnat analysis: GO-like enrichment of anatomical terms, mapped to genes by expression patterns.") (license license:gpl3))) (define-public r-biobtreer (package (name "r-biobtreer") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biobtreeR" version)) (sha256 (base32 "18p5r67ppkw8wxxkrj76q68ljlhdbhar5hc89ffdsgr3zzdyk875")))) (properties `((upstream-name . "biobtreeR"))) (build-system r-build-system) (propagated-inputs (list r-httpuv r-httr r-jsonlite r-stringi)) (native-inputs (list r-knitr)) (home-page "https://github.com/tamerh/biobtreeR") (synopsis "Use biobtree tool from R") (description "The biobtreeR package provides an interface to biobtree, a tool which covers large sets of bioinformatics datasets and allows search and chain mappings functionalities.") (license license:expat))) (define-public r-minet (package (name "r-minet") (version "3.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "minet" version)) (sha256 (base32 "17v2x7cyw74h0zfsz33pyl1kqk976pdzw7mrgprz9l7w5120niw5")))) (properties `((upstream-name . "minet"))) (build-system r-build-system) (propagated-inputs (list r-infotheo)) (home-page "http://minet.meyerp.com") (synopsis "Mutual information networks") (description "This package implements various algorithms for inferring mutual information networks from data.") (license license:artistic2.0))) (define-public r-genetclassifier (package (name "r-genetclassifier") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "geNetClassifier" version)) (sha256 (base32 "1k61aka780xmf1vhqm6zvzjr2626hv71f8gp1s81az939crxlrqd")))) (properties `((upstream-name . "geNetClassifier"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-e1071 r-ebarrays r-minet)) (home-page "https://www.cicancer.org") (synopsis "Classify diseases and build gene networks using expression profiles") (description "This is a comprehensive package to automatically train and validate a multi-class SVM classifier based on gene expression data. It provides transparent selection of gene markers, their coexpression networks, and an interface to query the classifier.") (license license:gpl2+))) (define-public r-dir-expiry (package (name "r-dir-expiry") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "dir.expiry" version)) (sha256 (base32 "191b8qhldxvsw09l2c0ffc1ldmx0mqxgsx6m074f28l01d3c1d9q")))) (properties `((upstream-name . "dir.expiry"))) (build-system r-build-system) (propagated-inputs (list r-filelock)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/dir.expiry") (synopsis "Managing expiration for cache directories") (description "This package implements an expiration system for access to versioned directories. Directories that have not been accessed by a registered function within a certain time frame are deleted. This aims to reduce disk usage by eliminating obsolete caches generated by old versions of packages.") (license license:gpl3))) (define-public r-basic4cseq (package (name "r-basic4cseq") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Basic4Cseq" version)) (sha256 (base32 "1vlrrkg885w77w34m2q8hngr95hhh5bkw9hrzyhnp39igjkcwqx4")))) (properties `((upstream-name . "Basic4Cseq"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-bsgenome-ecoli-ncbi-20080805 r-catools r-genomicalignments r-genomicranges r-rcircos)) (home-page "https://bioconductor.org/packages/Basic4Cseq") (synopsis "Analyzing 4C-seq data") (description "Basic4Cseq is an R package for basic filtering, analysis and subsequent visualization of @acronym{4C-seq, circular chromosome conformation capture sequencing} data. Virtual fragment libraries can be created for any BSGenome package, and filter functions for both reads and fragments and basic quality controls are included. Fragment data in the vicinity of the experiment's viewpoint can be visualized as a coverage plot based on a running median approach and a multi-scale contact profile.") (license license:lgpl3))) (define-public r-basics (package (name "r-basics") (version "2.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BASiCS" version)) (sha256 (base32 "0kf215n151sxphc5w9h4i2xsk7lmysi4abwcpyz4slbwhpki3ac8")))) (properties `((upstream-name . "BASiCS"))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biobase r-biocgenerics r-biocparallel r-coda r-cowplot r-ggextra r-ggplot2 r-hexbin r-mass r-matrix r-matrixstats r-posterior r-rcpp r-rcpparmadillo r-reshape2 r-s4vectors r-scran r-scuttle r-singlecellexperiment r-summarizedexperiment r-viridis)) (native-inputs (list r-knitr)) (home-page "https://github.com/catavallejos/BASiCS") (synopsis "Bayesian analysis of single-cell sequencing data") (description "@acronym{BASiCS, Bayesian analysis of single-cell sequencing data} is an integrated Bayesian hierarchical model to perform statistical analyses of single-cell RNA sequencing datasets in the context of supervised experiments (where the groups of cells of interest are known a priori. BASiCS performs built-in data normalisation (global scaling) and technical noise quantification (based on spike-in genes). BASiCS provides an intuitive detection criterion for highly (or lowly) variable genes within a single group of cells. Additionally, BASiCS can compare gene expression patterns between two or more pre-specified groups of cells.") (license license:gpl3))) (define-public r-basicstarrseq (package (name "r-basicstarrseq") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BasicSTARRseq" version)) (sha256 (base32 "1dw6bv1qk2bn0l3m458sqgvm3s1karh4n3431pl7r0jj2r3mr6xa")))) (properties `((upstream-name . "BasicSTARRseq"))) (build-system r-build-system) (propagated-inputs (list r-genomeinfodb r-genomicalignments r-genomicranges r-iranges r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BasicSTARRseq") (synopsis "Basic peak calling on STARR-seq data") (description "This package implements a method that aims to identify enhancers on large scale. The STARR-seq data consists of two sequencing datasets of the same targets in a specifc genome. The input sequences show which regions where tested for enhancers. Significant enriched peaks i.e. a lot more sequences in one region than in the input where enhancers in the genomic DNA are, can be identified. So the approach pursued is to call peak every region in which there is a lot more (significant in a binomial model) STARR-seq signal than input signal and propose an enhancer at that very same position. Enhancers then are called weak or strong dependent of there degree of enrichment in comparison to input.") (license license:lgpl3))) (define-public r-basilisk-utils (package (name "r-basilisk-utils") (version "1.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "basilisk.utils" version)) (sha256 (base32 "19m4h90rkk6mizllkih2xmxag8nb45qss3vydkkyj62s5zjhfh27")))) (properties `((upstream-name . "basilisk.utils"))) (build-system r-build-system) (propagated-inputs (list r-dir-expiry)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/basilisk.utils") (synopsis "Basilisk installation utilities") (description "This package implements utilities for installation of the basilisk package, primarily for creation of the underlying Conda instance.") (license license:gpl3))) (define-public r-basilisk (package (name "r-basilisk") (version "1.14.2") (source (origin (method url-fetch) (uri (bioconductor-uri "basilisk" version)) (sha256 (base32 "0fi3211p7fzab0bw2zqkc7gnqzpi24sf8655wghaw3yg9g39ksdg")))) (properties `((upstream-name . "basilisk"))) (build-system r-build-system) (propagated-inputs (list r-basilisk-utils r-dir-expiry r-reticulate)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/basilisk") (synopsis "Freeze Python dependencies inside Bioconductor packages") (description "This package installs a self-contained Conda instance that is managed by the R/Bioconductor installation machinery. This aims to provide a consistent Python environment that can be used reliably by Bioconductor packages. Functions are also provided to enable smooth interoperability of multiple Python environments in a single R session.") (license license:gpl3))) (define-public r-bayesknockdown (package (name "r-bayesknockdown") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BayesKnockdown" version)) (sha256 (base32 "1argd4gfld2yb0vvpgb5k7m6agmi58712f6g5dj4gnb7kg4rp1l8")))) (properties `((upstream-name . "BayesKnockdown"))) (build-system r-build-system) (propagated-inputs (list r-biobase)) (home-page "https://bioconductor.org/packages/BayesKnockdown") (synopsis "Posterior probabilities for edges from knockdown data") (description "This package provides a simple, fast Bayesian method for computing posterior probabilities for relationships between a single predictor variable and multiple potential outcome variables, incorporating prior probabilities of relationships. In the context of knockdown experiments, the predictor variable is the knocked-down gene, while the other genes are potential targets. It can also be used for differential expression/2-class data.") (license license:gpl3))) (define-public r-bayesspace (package (name "r-bayesspace") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BayesSpace" version)) (sha256 (base32 "1mqgsylnrvf197cin5zzihjv31bm2q0m5a612ncbglys6n1jd105")))) (properties `((upstream-name . "BayesSpace"))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biocfilecache r-biocsingular r-coda r-dirichletreg r-ggplot2 r-matrix r-mclust r-purrr r-rcpp r-rcpparmadillo r-rcppdist r-rcppprogress r-rcurl r-rhdf5 r-s4vectors r-scales r-scater r-scran r-singlecellexperiment r-summarizedexperiment r-xgboost)) (native-inputs (list r-knitr)) (home-page "https://www.ezstatconsulting.com/BayesSpace/") (synopsis "Clustering and resolution enhancement of spatial transcriptomes") (description "This package provides tools for clustering and enhancing the resolution of spatial gene expression experiments. BayesSpace clusters a low-dimensional representation of the gene expression matrix, incorporating a spatial prior to encourage neighboring spots to cluster together. The method can enhance the resolution of the low-dimensional representation into \"sub-spots\", for which features such as gene expression or cell type composition can be imputed.") (license license:expat))) (define-public r-baynorm (package (name "r-baynorm") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bayNorm" version)) (sha256 (base32 "01lv4w1x43x3f9sdrqikhsr1gdvkgqzrgcd9wnjj76qsljn57ifq")))) (properties `((upstream-name . "bayNorm"))) (build-system r-build-system) (propagated-inputs (list r-bb r-biocparallel r-dosnow r-fitdistrplus r-foreach r-iterators r-locfit r-mass r-matrix r-rcpp r-rcpparmadillo r-rcppprogress r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/WT215/bayNorm") (synopsis "Single-cell RNA sequencing data normalization") (description "The bayNorm package is used for normalizing single-cell RNA-seq data. The main function is @code{bayNorm}, which is a wrapper function for gene specific prior parameter estimation and normalization. The input is a matrix of scRNA-seq data with rows different genes and coloums different cells. The output is either point estimates from posterior (2D array) or samples from posterior (3D array).") (license license:gpl2+))) (define-public r-bbcanalyzer (package (name "r-bbcanalyzer") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BBCAnalyzer" version)) (sha256 (base32 "108jcgsf5hyj348y17hcw8m3zcfjgzpx8nz4n5jgxp2lgxjyizy1")))) (properties `((upstream-name . "BBCAnalyzer"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomicranges r-iranges r-rsamtools r-summarizedexperiment r-variantannotation)) (home-page "https://bioconductor.org/packages/BBCAnalyzer") (synopsis "Visualizing base counts") (description "BBCAnalyzer is a package for visualizing the relative or absolute number of bases, deletions and insertions at defined positions in sequence alignment data available as bam files in comparison to the reference bases. Markers for the relative base frequencies, the mean quality of the detected bases, known mutations or polymorphisms and variants called in the data may additionally be included in the plots.") (license license:lgpl3))) (define-public r-bcrank (package (name "r-bcrank") (version "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BCRANK" version)) (sha256 (base32 "1m1ccacryf8wjzp0d37n9n1kpa6734ddb8nvv1sy0sz5gplrars9")))) (properties `((upstream-name . "BCRANK"))) (build-system r-build-system) (propagated-inputs (list r-biostrings)) (home-page "https://bioconductor.org/packages/BCRANK") (synopsis "Predicting binding site consensus from ranked DNA sequences") (description "This package provides functions and classes for de novo prediction of transcription factor binding consensus by heuristic search.") (license license:gpl2))) (define-public r-biocthis (package (name "r-biocthis") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biocthis" version)) (sha256 (base32 "0lxcsw70ib8wvkp3ii1l8vd4g2ddhj6g0x22dwcmwacr2myk3bg8")))) (properties `((upstream-name . "biocthis"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-biocmanager r-fs r-glue r-rlang r-styler r-usethis)) (native-inputs (list r-knitr)) (home-page "https://github.com/lcolladotor/biocthis") (synopsis "Automate package and project setup for Bioconductor packages") (description "This package expands the @code{usethis} package with the goal of helping automate the process of creating R packages for Bioconductor or making them Bioconductor-friendly.") (license license:artistic2.0))) (define-public r-biocdockermanager (package (name "r-biocdockermanager") (version "1.11.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocDockerManager" version)) (sha256 (base32 "0w393f14i253pnk0jzf2ci4g5cnxshwdjmix2r8arlnadh7spjyk")))) (properties `((upstream-name . "BiocDockerManager"))) (build-system r-build-system) (propagated-inputs (list docker r-dplyr r-httr r-memoise r-readr r-whisker)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/BiocDockerManager") (synopsis "Access and manage Bioconductor Docker images") (description "This package works analogous to BiocManager but for Docker images. Use the BiocDockerManager package to install and manage Docker images provided by the Bioconductor project.") (license license:artistic2.0))) (define-public r-biodb (package (name "r-biodb") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biodb" version)) (sha256 (base32 "18w062s0wwdisl6a9a79in6h4052x3janinc5isip0x6p9g9d9bk")))) (properties `((upstream-name . "biodb"))) (build-system r-build-system) (propagated-inputs (list r-biocfilecache r-chk r-git2r r-jsonlite r-lgr r-lifecycle r-openssl r-plyr r-progress r-r6 r-rappdirs r-rcpp r-rcurl r-rsqlite r-stringr r-testthat r-withr r-xml r-yaml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/biodb") (synopsis "Library for connecting to chemical and biological databases") (description "The biodb package provides access to standard remote chemical and biological databases (ChEBI, KEGG, HMDB, ...), as well as to in-house local database files (CSV, SQLite), with easy retrieval of entries, access to web services, search of compounds by mass and/or name, and mass spectra matching for LCMS and MSMS. Its architecture as a development framework facilitates the development of new database connectors for local projects or inside separate published packages.") (license license:agpl3+))) (define-public r-biomformat (package (name "r-biomformat") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biomformat" version)) (sha256 (base32 "1ccnrz8rkg533kil3sc8wnjqsmiyrpqqmk7av7ls01avglcjdjq1")))) (properties `((upstream-name . "biomformat"))) (build-system r-build-system) (propagated-inputs (list r-jsonlite r-matrix r-plyr r-rhdf5)) (native-inputs (list r-knitr)) (home-page "https://github.com/joey711/biomformat/") (synopsis "Interface package for the BIOM file format") (description "This is an R package for interfacing with the BIOM format. This package includes basic tools for reading biom-format files, accessing and subsetting data tables from a biom object (which is more complex than a single table), as well as limited support for writing a biom-object back to a biom-format file. The design of this API is intended to match the Python API and other tools included with the biom-format project, but with a decidedly \"R flavor\" that should be familiar to R users. This includes S4 classes and methods, as well as extensions of common core functions/methods.") (license license:gpl2))) (define-public r-mvcclass (package (name "r-mvcclass") (version "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MVCClass" version)) (sha256 (base32 "16finp6q89n6x5q2v1khpfp5ys7d4dvlh3kacv5qbdh1bsb3fpax")))) (properties `((upstream-name . "MVCClass"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/MVCClass") (synopsis "Model-View-Controller (MVC) classes") (description "This package contains classes used in model-view-controller (MVC) design.") (license license:lgpl2.1+))) (define-public r-biomvcclass (package (name "r-biomvcclass") (version "1.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioMVCClass" version)) (sha256 (base32 "04ckv1y5iqawd0dvnn0bbpnmyys0ivcmf0my6dld3hib3idjzwfx")))) (properties `((upstream-name . "BioMVCClass"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-graph r-mvcclass r-rgraphviz)) (home-page "https://bioconductor.org/packages/BioMVCClass") (synopsis "Model-View-Controller (MVC) classes that use Biobase") (description "This package contains classes used in model-view-controller (MVC) design.") (license license:lgpl2.1+))) (define-public r-biomvrcns (package (name "r-biomvrcns") (version "1.42.2") (source (origin (method url-fetch) (uri (bioconductor-uri "biomvRCNS" version)) (sha256 (base32 "1imni8lpjzf53w2q34ql0j9rwq6drbzxvs0nhzf6s172iqym2hq3")))) (properties `((upstream-name . "biomvRCNS"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'patch-constants (lambda _ (substitute* "src/biomvRCNS.c" (("DOUBLE_XMIN") "DBL_MIN") (("DOUBLE_XMAX") "DBL_MAX"))))))) (propagated-inputs (list r-genomicranges r-gviz r-iranges r-mvtnorm)) (home-page "https://bioconductor.org/packages/biomvRCNS") (synopsis "Copy number study and segmentation for multivariate biological data") (description "In this package, a @dfn{Hidden Semi Markov Model} (HSMM) and one homogeneous segmentation model are designed and implemented for segmentation genomic data, with the aim of assisting in transcripts detection using high throughput technology like RNA-seq or tiling array, and copy number analysis using aCGH or sequencing.") (license license:gpl2+))) (define-public r-bionero (package (name "r-bionero") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioNERO" version)) (sha256 (base32 "0pq5fiacb2x8l5jk3p6bnha9bcwg91grpklgx2nirrlwwr80gf2h")))) (properties `((upstream-name . "BioNERO"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-complexheatmap r-dynamictreecut r-genie3 r-ggdendro r-ggnetwork r-ggplot2 r-ggrepel r-igraph r-intergraph r-matrixstats r-minet r-netrep r-patchwork r-rcolorbrewer r-reshape2 r-rlang r-summarizedexperiment r-sva r-wgcna)) (native-inputs (list r-knitr)) (home-page "https://github.com/almeidasilvaf/BioNERO") (synopsis "Biological network reconstruction omnibus") (description "BioNERO aims to integrate all aspects of biological network inference in a single package, including data preprocessing, exploratory analyses, network inference, and analyses for biological interpretations. BioNERO can be used to infer gene coexpression networks (GCNs) and gene regulatory networks (GRNs) from gene expression data. Additionally, it can be used to explore topological properties of protein-protein interaction (PPI) networks. GCN inference relies on the popular WGCNA algorithm. GRN inference is based on the \"wisdom of the crowds\" principle, which consists in inferring GRNs with multiple algorithms (here, CLR, GENIE3 and ARACNE) and calculating the average rank for each interaction pair. As all steps of network analyses are included in this package, BioNERO makes users avoid having to learn the syntaxes of several packages and how to communicate between them. Finally, users can also identify consensus modules across independent expression sets and calculate intra and interspecies module preservation statistics between different networks.") (license license:gpl3))) (define-public r-bionet (package (name "r-bionet") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioNet" version)) (sha256 (base32 "122rj6rg4j9q9brhxyrbkc91fml3davk044s2yxwyjnwn2yjw0bq")))) (properties `((upstream-name . "BioNet"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biobase r-graph r-igraph r-rbgl)) (home-page "http://bioconductor.org/packages/release/bioc/html/BioNet.html") (synopsis "Functional analysis of biological networks") (description "This package provides functions for the integrated analysis of protein-protein interaction networks and the detection of functional modules. Different datasets can be integrated into the network by assigning p-values of statistical tests to the nodes of the network. E.g. p-values obtained from the differential expression of the genes from an Affymetrix array are assigned to the nodes of the network. By fitting a beta-uniform mixture model and calculating scores from the p-values, overall scores of network regions can be calculated and an integer linear programming algorithm identifies the maximum scoring subnetwork.") (license license:gpl2+))) (define-public r-bionetstat (package (name "r-bionetstat") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioNetStat" version)) (sha256 (base32 "1rbb36v64b9xbk2dsf6wsyrhwwbkysrj8fp1g22y3gisdk170sg8")) (snippet '(delete-file "inst/datatables/js/jquery.dataTables.min.js")))) (properties `((upstream-name . "BioNetStat"))) (build-system r-build-system) (arguments (list #:phases '(modify-phases %standard-phases (add-after 'unpack 'process-javascript (lambda _ (with-directory-excursion "inst/datatables/js/" (invoke "esbuild" "jquery.dataTables.js" "--minify" "--outfile=jquery.dataTables.min.js"))))))) (propagated-inputs (list r-biocparallel r-dt r-ggplot2 r-hmisc r-igraph r-knitr r-markdown r-pathview r-pheatmap r-plyr r-psych r-rcolorbrewer r-rjsonio r-rmarkdown r-shiny r-shinybs r-whisker r-yaml)) (native-inputs (list esbuild r-knitr r-rmarkdown)) (home-page "https://github.com/jardimViniciusC/BioNetStat") (synopsis "Biological network analysis") (description "This package provides a package to perform differential network analysis, differential node analysis (differential coexpression analysis), network and metabolic pathways view.") (license license:gpl3+))) (define-public r-bioqc (package (name "r-bioqc") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioQC" version)) (sha256 (base32 "15kmg102259h2yl3b6ncq2p545kdac4hk4kwm1s5492y5rg7qkla")))) (properties `((upstream-name . "BioQC"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-edger r-rcpp)) (native-inputs (list r-knitr)) (home-page "https://accio.github.io/BioQC/") (synopsis "Detect tissue heterogeneity in expression profiles with gene sets") (description "BioQC performs quality control of high-throughput expression data based on tissue gene signatures. It can detect tissue heterogeneity in gene expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is optimised for high performance.") (license license:gpl3+))) (define-public r-biotip (package (name "r-biotip") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioTIP" version)) (sha256 (base32 "1bbjfv3bi20xlk8h7r5ipav6mfs27lmj0zjb5mk1gmp071dmnk0y")))) (properties `((upstream-name . "BioTIP"))) (build-system r-build-system) (propagated-inputs (list r-cluster r-genomicranges r-igraph r-mass r-psych r-scran r-stringr)) (native-inputs (list r-knitr)) (home-page "https://github.com/xyang2uchicago/BioTIP") (synopsis "R package for characterization of biological tipping-point") (description "This package adopts tipping-point theory to transcriptome profiles to help unravel disease regulatory trajectory.") (license license:gpl2))) (define-public r-biotmle (package (name "r-biotmle") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biotmle" version)) (sha256 (base32 "0h796sxv7fvwx9m8ikamf3bvaac7rimp33lv1j3ngsjifigdkvfy")))) (properties `((upstream-name . "biotmle"))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biocgenerics r-biocparallel r-dplyr r-drtmle r-ggplot2 r-ggsci r-limma r-s4vectors r-summarizedexperiment r-superheat r-tibble)) (native-inputs (list r-knitr)) (home-page "https://code.nimahejazi.org/biotmle/") (synopsis "Targeted learning with moderated statistics for biomarker discovery") (description "This package provides tools for differential expression biomarker discovery based on microarray and next-generation sequencing data that leverage efficient semiparametric estimators of the average treatment effect for variable importance analysis. Estimation and inference of the (marginal) average treatment effects of potential biomarkers are computed by targeted minimum loss-based estimation, with joint, stable inference constructed across all biomarkers using a generalization of moderated statistics for use with the estimated efficient influence function. The procedure accommodates the use of ensemble machine learning for the estimation of nuisance functions.") (license license:expat))) (define-public r-bsseq (package (name "r-bsseq") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bsseq" version)) (sha256 (base32 "0afpzr52mf2ab7gr9swdf6609787ymw8s8wksis0d4ap0y0wdgg0")))) (properties `((upstream-name . "bsseq"))) (build-system r-build-system) (propagated-inputs (list r-beachmat r-biobase r-biocgenerics r-biocparallel r-biostrings r-bsgenome r-data-table r-delayedarray r-delayedmatrixstats r-genomeinfodb r-genomicranges r-gtools r-hdf5array r-iranges r-limma r-locfit r-permute r-r-utils r-rcpp r-rhdf5 r-s4vectors r-scales r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/hansenlab/bsseq") (synopsis "Analyze, manage and store bisulfite sequencing data") (description "This package provides a collection of tools for analyzing and visualizing bisulfite sequencing data.") (license license:artistic2.0))) (define-public r-dada2 (package (name "r-dada2") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "dada2" version)) (sha256 (base32 "0rvnwbknvwksm50f4rw9965gnhy13rjgdfvv428xsqixgkkkyrf6")))) (properties `((upstream-name . "dada2"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biostrings r-ggplot2 r-iranges r-rcpp r-rcppparallel r-reshape2 r-shortread r-xvector)) (native-inputs (list r-knitr)) (home-page "https://benjjneb.github.io/dada2/") (synopsis "Accurate, high-resolution sample inference from amplicon sequencing data") (description "The dada2 package infers exact @dfn{amplicon sequence variants} (ASVs) from high-throughput amplicon sequencing data, replacing the coarser and less accurate OTU clustering approach. The dada2 pipeline takes as input demultiplexed fastq files, and outputs the sequence variants and their sample-wise abundances after removing substitution and chimera errors. Taxonomic classification is available via a native implementation of the RDP naive Bayesian classifier, and species-level assignment to 16S rRNA gene fragments by exact matching.") (license license:lgpl2.0))) (define-public r-dmrseq (package (name "r-dmrseq") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "dmrseq" version)) (sha256 (base32 "0z53vh5qirkyn7yw3g2m2kj6dzii96l81vc8j59n2dl7p602l9a2")))) (properties `((upstream-name . "dmrseq"))) (build-system r-build-system) (propagated-inputs (list r-annotationhub r-annotatr r-biocparallel r-bsseq r-bumphunter r-delayedmatrixstats r-genomeinfodb r-genomicranges r-ggplot2 r-iranges r-locfit r-matrixstats r-nlme r-outliers r-rcolorbrewer r-rtracklayer r-s4vectors)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/dmrseq") (synopsis "Detection and inference of differentially methylated regions") (description "This package implements an approach for scanning the genome to detect and perform accurate inference on differentially methylated regions from Whole Genome Bisulfite Sequencing data. The method is based on comparing detected regions to a pooled null distribution, that can be implemented even when as few as two samples per population are available. Region-level statistics are obtained by fitting a @dfn{generalized least squares} (GLS) regression model with a nested autoregressive correlated error structure for the effect of interest on transformed methylation proportions.") (license license:expat))) (define-public r-omicade4 (package (name "r-omicade4") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "omicade4" version)) (sha256 (base32 "0i4ln95ayl1irr8sr3639x35ilysdi663kksw7g93q1ry91yav8r")))) (properties `((upstream-name . "omicade4"))) (build-system r-build-system) (propagated-inputs (list r-ade4 r-biobase r-made4)) (home-page "https://bioconductor.org/packages/omicade4") (synopsis "Multiple co-inertia analysis of omics datasets") (description "This package performes multiple co-inertia analysis of omics datasets.") (license license:gpl2))) (define-public r-omnipathr (package (name "r-omnipathr") (version "3.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "OmnipathR" version)) (sha256 (base32 "1wbzb4kh7bzsvixr3vxzih9rfkpjx00f33i0yl0dqj0yixnrghwr")))) (properties `((upstream-name . "OmnipathR"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-checkmate r-crayon r-curl r-digest r-dplyr r-httr r-igraph r-jsonlite r-later r-logger r-lubridate r-magrittr r-progress r-purrr r-rappdirs r-readr r-readxl r-rlang r-rmarkdown r-rvest r-stringi r-stringr r-tibble r-tidyr r-tidyselect r-withr r-xml2 r-yaml)) (native-inputs (list r-knitr)) (home-page "https://saezlab.github.io/OmnipathR/") (synopsis "OmniPath web service client and more") (description "This package provides a client for the OmniPath web service and many other resources. It also includes functions to transform and pretty print some of the downloaded data, functions to access a number of other resources. Furthermore, OmnipathR features a close integration with the NicheNet method for ligand activity prediction from transcriptomics data.") (license license:expat))) (define-public r-biscuiteer (package (name "r-biscuiteer") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biscuiteer" version)) (sha256 (base32 "1q90p14qj5plz6cbvwxq875y29in6jg7adyni5wd33pf9i4gsxzi")))) (properties `((upstream-name . "biscuiteer"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocparallel r-biscuiteerdata r-bsseq r-data-table r-delayedmatrixstats r-dmrseq r-genomeinfodb r-genomicranges r-gtools r-hdf5array r-homo-sapiens r-impute r-iranges r-matrix r-matrixstats r-mus-musculus r-qdnaseq r-qualv r-r-utils r-readr r-rsamtools r-rtracklayer r-s4vectors r-summarizedexperiment r-variantannotation)) (native-inputs (list r-knitr)) (home-page "https://github.com/trichelab/biscuiteer") (synopsis "Convenience functions for the Biscuit package") (description "This package provides a test harness for bsseq loading of Biscuit output, summarization of WGBS data over defined regions and in mappable samples, with or without imputation, dropping of mostly-NA rows, age estimates, etc.") (license license:gpl3))) (define-public r-tcgabiolinks (package (name "r-tcgabiolinks") (version "2.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TCGAbiolinks" version)) (sha256 (base32 "1k8xiv4bmil420176ckfda2r6y0s46dk1cm8dbywav86q28bmzzx")))) (properties `((upstream-name . "TCGAbiolinks"))) (build-system r-build-system) (propagated-inputs (list r-biomart r-data-table r-downloader r-dplyr r-genomicranges r-ggplot2 r-httr r-iranges r-jsonlite r-knitr r-plyr r-purrr r-r-utils r-readr r-rvest r-s4vectors r-stringr r-summarizedexperiment r-tcgabiolinksgui-data r-tibble r-tidyr r-xml r-xml2)) (native-inputs (list r-knitr)) (home-page "https://github.com/BioinformaticsFMRP/TCGAbiolinks") (synopsis "Integrative analysis with GDC data") (description "The aim of TCGAbiolinks is: @enumerate @item facilitate GDC open-access data retrieval; @item prepare the data using the appropriate pre-processing strategies; @item provide the means to carry out different standard analyses, and; @item to easily reproduce earlier research results. @end enumerate In more detail, the package provides multiple methods for analysis (e.g., differential expression analysis, identifying differentially methylated regions) and methods for visualization (e.g., survival plots, volcano plots, starburst plots) in order to easily develop complete analysis pipelines.") (license license:gpl3+))) (define-public r-tricycle (package (name "r-tricycle") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tricycle" version)) (sha256 (base32 "1dawkp681pz9hf7fp2nag9pcfxx5rq0z4j9czlalf0sylsjbirkd")))) (properties `((upstream-name . "tricycle"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-circular r-dplyr r-genomicranges r-ggnewscale r-ggplot2 r-iranges r-rcolorbrewer r-s4vectors r-scater r-scattermore r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/hansenlab/tricycle") (synopsis "Transferable representation and inference of cell cycle") (description "The package contains functions to infer and visualize cell cycle process using Single-cell RNA-Seq data. It exploits the idea of transfer learning, projecting new data to the previous learned biologically interpretable space. The @code{tricycle} provides a pre-learned cell cycle space, which could be used to infer cell cycle time of human and mouse single cell samples. In addition, it also offer functions to visualize cell cycle time on different embeddings and functions to build new reference.") (license license:gpl3))) (define-public r-tximeta (package (name "r-tximeta") (version "1.20.2") (source (origin (method url-fetch) (uri (bioconductor-uri "tximeta" version)) (sha256 (base32 "1i6d1kw8wqcdzdhzlix29jl5ka8p54nb4b5zyn9ca356nkxf755q")))) (properties `((upstream-name . "tximeta"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-annotationhub r-biocfilecache r-biostrings r-ensembldb r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-jsonlite r-matrix r-s4vectors r-summarizedexperiment r-tibble r-tximport)) (native-inputs (list r-knitr)) (home-page "https://github.com/mikelove/tximeta") (synopsis "Transcript quantification import with automatic metadata") (description "This package implements transcript quantification import from Salmon and alevin with automatic attachment of transcript ranges and release information, and other associated metadata. De novo transcriptomes can be linked to the appropriate sources with linkedTxomes and shared for computational reproducibility.") (license license:gpl2))) (define-public r-phyloseq (package (name "r-phyloseq") (version "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "phyloseq" version)) (sha256 (base32 "06gnpjcniqm8i52xh9xl3nn0wm9nn9rkqd3w3fjv7ii142xypjln")))) (properties `((upstream-name . "phyloseq"))) (build-system r-build-system) (propagated-inputs (list r-ade4 r-ape r-biobase r-biocgenerics r-biomformat r-biostrings r-cluster r-data-table r-foreach r-ggplot2 r-igraph r-multtest r-plyr r-reshape2 r-scales r-vegan)) (native-inputs (list r-knitr)) (home-page "https://github.com/joey711/phyloseq") (synopsis "Handling and analysis of high-throughput microbiome census data") (description "Phyloseq provides a set of classes and tools to facilitate the import, storage, analysis, and graphical display of microbiome census data.") (license license:agpl3))) ;;; ;;; Avoid adding new packages to the end of this file. To reduce the chances ;;; of a merge conflict, place them above by existing packages with similar ;;; functionality or similar names. ;;;