;;; GNU Guix --- Functional package management for GNU ;;; Copyright © 2015-2023 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 autotools) #:use-module (gnu packages base) #:use-module (gnu packages bioinformatics) #:use-module (gnu packages boost) #: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 maths) #: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 statistics) #:use-module (gnu packages web) #:use-module (gnu packages xml) #:use-module (srfi srfi-1)) ;;; Annotations (define-public r-org-eck12-eg-db (package (name "r-org-eck12-eg-db") (version "3.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.EcK12.eg.db" version 'annotation)) (sha256 (base32 "0c4p6jr83k0gm6pvn760yr8xf33wggrfcr6fg7a42a96bcf817gs")))) (properties `((upstream-name . 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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 "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "alpine" version)) (sha256 (base32 "0rjnwljh4c2f7ml0m14pllns4pvyjwwf23qsn6zjygm5x04bapf0")))) (properties `((upstream-name . 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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 "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "decoupleR" version)) (sha256 (base32 "1872pi2v9gymdpqdhab10ash4b2w8sbk1p635lf0p6s4679syhdi")))) (properties `((upstream-name . 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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-delayedarray (package (name "r-delayedarray") (version "0.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DelayedArray" version)) (sha256 (base32 "0nl1v0mxb759wiia2rsxay0cv0q631gqyzgaa10s175lhzsb8r6p")))) (properties `((upstream-name . 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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 "2.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IRanges" version)) (sha256 (base32 "0jvavhl6p2di0n5176gg7shfmpg79rngl2gaw423icswdf8kay89")))) (properties `((upstream-name . 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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 "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mzID" version)) (sha256 (base32 "0h5w5ykbziaif6m61pa5x92f2rblfgldvj9vajfhkmxj1b2ks9za")))) (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 "2.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mzR" version)) (sha256 (base32 "0p7mkvvaf25si95lpwpr65jm3dzxmgs9i0wilyb2mbxkdcz9vm71")) (modules '((guix build utils))) (snippet '(delete-file-recursively "src/boost")))) (properties `((upstream-name . "mzR"))) (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 "1.2.1") (source (origin (method url-fetch) (uri (cran-uri "numbat" version)) (sha256 (base32 "1jkz24j99cd333mvisp8x5swwr0iyix1kc962d2yx3mv5cn28xdb")))) (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 "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Organism.dplyr" version)) (sha256 (base32 "1hawn8pp63kal5ml0sm3h1j1wnkq02z64sliyaf6apv7vl60ja9g")))) (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 "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "OrganismDbi" version)) (sha256 (base32 "11l1xqwbqs129vxd6lxdaizpp6j08spyh6799rv5wqmlymap1ykw")))) (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)) (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-pcaexplorer (package (name "r-pcaexplorer") (version "2.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pcaExplorer" version)) (sha256 (base32 "0gs4az4h5mwnr3s8fq7im5p3mm4mhc0x5amjr2badqkw1fih3jp7")))) (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 "1.90.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pcaMethods" version)) (sha256 (base32 "1cjmkfpbbfzkx6bi3r9jjx54iwkm4gl8hqa1776hxicq2x2c83s4")))) (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+))) ;; 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-protgenerics (package (name "r-protgenerics") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ProtGenerics" version)) (sha256 (base32 "1k5pg0zbhz9mjsl5i3j33p7qv2adax2lf7yqv6qz229fxxaxs5li")))) (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 "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RBGL" version)) (sha256 (base32 "0dccxsynfnhjzjk22hr5kg068zbg33g6kyhlhlhqh78582181j9m")))) (properties `((upstream-name . "RBGL"))) (build-system r-build-system) (propagated-inputs (list r-bh r-graph)) (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 "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RCAS" version)) (sha256 (base32 "0wja7m3b3zr0m8nwcq5m5appsr09jdwkvvvxzh2r5mhksn0abs6p")))) (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-rsqlite r-rtracklayer r-rmarkdown 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-regioner (package (name "r-regioner") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "regioneR" version)) (sha256 (base32 "01anwhz0axdl0g2zsaqz1qdxswxrryarbw6pmn5kmlpz4ipiq049")))) (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 "2.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ReportingTools" version)) (sha256 (base32 "1nrgnb002qv0yzmrvg59i9b5wzxda0fdkrmdi6vr15g0g7j3yry0")))) (properties `((upstream-name . "ReportingTools"))) (build-system r-build-system) (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 r-knitr)) (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 "2.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rhdf5" version)) (sha256 (base32 "1vxs227d1295fz8irr6fsv603cw96a801j8njhblvs0cry38d087")))) (build-system r-build-system) (propagated-inputs (list r-rhdf5filters r-rhdf5lib)) (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 "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rhdf5filters" version)) (sha256 (base32 "17x2a3122mm3z9qnalw25am2x08cfpm17nwhigabid3ha3d2mgz1")))) (properties `((upstream-name . 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"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)) (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-rtracklayer (package (name "r-rtracklayer") (version "1.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rtracklayer" version)) (sha256 (base32 "1qxr0ffmmkbfkbijz7pbks3kvms9k4a5rmma4j9p7ar477fxvlmk")))) (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 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-scannotatr (package (name "r-scannotatr") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scAnnotatR" version)) (sha256 (base32 "0rc035kzbzrxvlcpphzg0yg7q82jvlxpi9xjq8q59hvbpyg1sz93")))) (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 "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scDblFinder" version)) (sha256 (base32 "0gslh28rycx0p6a6fmzbsqy1hg2sn3pp5blxgw01qk9f0ank7szi")))) (properties `((upstream-name . 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(define-public r-scistreer (package (name "r-scistreer") (version "1.1.0") (source (origin (method url-fetch) (uri (cran-uri "scistreer" version)) (sha256 (base32 "0cdp26ngfp5rxa21nqnj6j2098f6996368g4msb3shh7n75np4s9")))) (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).") 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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-scry (package (name "r-scry") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scry" version)) (sha256 (base32 "0vx6fi8hnxms6d3hm3qxkrdx1qpyd7vhwdk7ds98ads070miqr21")))) (properties `((upstream-name . 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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 "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TrajectoryUtils" version)) (sha256 (base32 "130w4vpsmrkg458n3wbhvlchg171gjqybvs2w14bxa608f3fzw03")))) (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.") 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(license license:expat))) (define-public r-slingshot (package (name "r-slingshot") (version "2.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "slingshot" version)) (sha256 (base32 "00h9iid2z9r55l4hlaa1q0nkbcfq0f7k2afkw4ymjwhm1b8yqj33")))) (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-stager (package (name "r-stager") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "stageR" version)) (sha256 (base32 "1layvv9akzijw2br9jzw6cwxn2rimha4m48fm8wn465n1nqcns0m")))) (properties `((upstream-name . 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(license license:gpl2))) (define-public r-structuralvariantannotation (package (name "r-structuralvariantannotation") (version "1.13.0") (source (origin (method url-fetch) (uri (bioconductor-uri "StructuralVariantAnnotation" version)) (sha256 (base32 "11z3acsbaifrxkghd7i8503ki9s1lc6c22880yna6qcfprlzb44g")))) (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 "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SummarizedExperiment" version)) (sha256 (base32 "0897v6x1ki4m7kajnd60yv5qj6xa1293sj572b4dhcnfjvsf9rcn")))) (properties `((upstream-name . 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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 "2.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "topGO" version)) (sha256 (base32 "1ripdn7mcabh96bm4p807dbwj7jv05a54kss4snhz84svqq383m4")))) (properties `((upstream-name . 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(license license:lgpl2.1+))) (define-public r-tximport (package (name "r-tximport") (version "1.26.1") (source (origin (method url-fetch) (uri (bioconductor-uri "tximport" version)) (sha256 (base32 "1r67q4nb2bx9nqycyr2gnfmh4gizl0c7l510vmlcdvplv3yi73yn")))) (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 "0.6.6") (source (origin (method url-fetch) (uri (cran-uri "valr" version)) (sha256 (base32 "0w3j8fkssp9s4ybaw8hvqbmsh5m991xkgr4nji3zar2pgmgk3qph")))) (build-system r-build-system) (propagated-inputs (list r-broom r-cli r-dplyr r-ggplot2 r-rcpp r-readr r-rlang r-rtracklayer ;bioconductor package 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 "1.44.1") (source (origin (method url-fetch) (uri (bioconductor-uri "VariantAnnotation" version)) (sha256 (base32 "13zim7dglsd5w39v22d2qa3d1h5dx33c1r4fz3vzri64kac0lhzx")))) (properties `((upstream-name . "VariantAnnotation"))) (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-summarizedexperiment r-rhtslib r-rsamtools r-rtracklayer r-s4vectors r-xvector r-zlibbioc)) (build-system r-build-system) (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 "3.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "vsn" version)) (sha256 (base32 "1k77rg5jf646m1pn59qhlsbb9fzhlpnrj4dzxagknawcbpnnjl0z")))) (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. 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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 "1.56.0") (source (origin (method url-fetch) (uri (bioconductor-uri "xmapbridge" version)) (sha256 (base32 "0wxr3db2daj4xlr9df6iqwm00m71kln7rhqnq2ckdsricblanhs7")))) (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. 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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 "1.26.3") (source (origin (method url-fetch) (uri (bioconductor-uri "lpsymphony" version)) (sha256 (base32 "0iqc6km4pw50li2q35km8jpa0p3i6a6way910wcz56yd2jjbjyz5")))) (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 "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IHW" version)) (sha256 (base32 "04vbf42bzqydf5mi4mqmcyh0xdx4phs4cjhsm6fimhmjhxm8jyry")))) (properties `((upstream-name . 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(license license:gpl2+))) (define-public r-residualmatrix (package (name "r-residualmatrix") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ResidualMatrix" version)) (sha256 (base32 "0zqifr1zhsfhrkjlp0ajqiqc9f96yz8zr13yhl19lvw30pwg9rj9")))) (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 "1.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "batchelor" version)) (sha256 (base32 "1yj84ba6px14hbqg8526527vfcxmzvmly34f7hba4vybdm1jscfm")))) (properties `((upstream-name . 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(license license:gpl3))) (define-public r-mast (package (name "r-mast") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MAST" version)) (sha256 (base32 "133ijkw5sd0gl38dfr7qfqvvp2df7lg6j8vkvy54zlpamkg6l2x1")))) (properties `((upstream-name . "MAST"))) (build-system r-build-system) (propagated-inputs (list r-abind r-biobase r-biocgenerics r-data-table r-ggplot2 r-plyr r-progress r-reshape2 r-s4vectors r-singlecellexperiment r-stringr r-summarizedexperiment)) (native-inputs (list 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 "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "monocle" version)) (sha256 (base32 "1d3xgh9xgqa28bgyd06zkjmg75lq7hdah3d140l1bqq2ii1bv62g")))) (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 . 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(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.") 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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))) (define-public r-milor (package (name "r-milor") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "miloR" version)) (sha256 (base32 "07p9rs1jmgxqaahjbrnvvs94c142n2qfw8ip3qqkr6mhzwr19ly3")))) (properties `((upstream-name . 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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 "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annotatr" version)) (sha256 (base32 "08f3xikgb0z1j7n8i04yn1dlfj8rxc76nmf5b7i5ljcp0jqiv07n")))) (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 "2.12.2") (source (origin (method url-fetch) (uri (bioconductor-uri "Rsubread" version)) (sha256 (base32 "1gvd8vmglvzc3bixqxrm4k7yikl2as5l4x6bvvvnwsgx2i7vz7dm")))) (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-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 "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ConsensusClusterPlus" version)) (sha256 (base32 "15cz3bbl21vzf5xn5xb791sy2yvzir7h4fdqm0a5anhbh8jg0iaq")))) (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)))) (define-public r-cytolib (package (name "r-cytolib") (version "2.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "cytolib" version)) (sha256 (base32 "0rgqlqasil75b03c8c4nyg71ybysrsbqb0bwk6hbnaw8rljxdmi5")))) (properties `((upstream-name . "cytolib"))) (build-system r-build-system) (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 "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowCore" version)) (sha256 (base32 "0j0ryyz3vcih964is5gdm2jp39ssdli9q6r03q6rj9nwzplq5asj")))) (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 "1.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowMeans" version)) (sha256 (base32 "1hmr2i5svg1wvdgqhnp25k1c21p2pdd0ia9py5kp9sm5qvc9vngw")))) (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 "2.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ncdfFlow" version)) (sha256 (base32 "0ak1rrd0r899nz4zdg9v3pkvlp94sbcc3q6xl249krgbx0a3sizm")))) (properties `((upstream-name . "ncdfFlow"))) (build-system r-build-system) (propagated-inputs (list r-bh r-biobase r-biocgenerics r-flowcore r-rcpp r-rcpparmadillo 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 "1.26.4") (source (origin (method url-fetch) (uri (bioconductor-uri "ggcyto" version)) (sha256 (base32 "1pj1v0bhvckvwn1p826phskqz9lv71c1913cz5w0fd87dzdbpzpj")))) (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 "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowViz" version)) (sha256 (base32 "0yz2b3l0bv5i7vrr893wrs3jl215i17m2hr92iisdc6mh9i0lpz8")))) (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 "3.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowClust" version)) (sha256 (base32 "1l1lfgm6x06gyzda36m6gvqmb91zbrz8m83b1fnfzpxkhqha20yq")))) (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 "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RProtoBufLib" version)) (sha256 (base32 "07d5skr8cp0hyjbs7whw4h8scrf2w4hyn0wzj3khqdss53zmmr2m")))) (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 "4.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "flowWorkspace" version)) (sha256 (base32 "0jmbfclkfm0n2mshk94906kivii7awlskf7l7ydn8ki8wrpzxqg4")))) (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 "4.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowStats" version)) (sha256 (base32 "10xq0rfnshvam2yh34566ywmsby44aa1fg8wqwmllm202rhcgl2p")))) (properties `((upstream-name . "flowStats"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics 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 "2.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "openCyto" version)) (sha256 (base32 "16wsa9dhnz8gz1siyhfxvnbfg142g7fmhxiqxr7n69qpq9w8yhr0")))) (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 "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CytoML" version)) (sha256 (base32 "105vdmwwglknwk7x7cb6b2jf6bngbxsly0ymjf8175p2lfv98jsa")))) (properties `((upstream-name . "CytoML"))) (build-system r-build-system) (inputs (list libxml2 zlib)) (propagated-inputs (list r-base64enc r-bh r-biobase r-corpcor r-cytolib r-data-table r-dplyr r-flowcore r-flowworkspace r-ggcyto r-graph r-jsonlite r-lattice r-opencyto r-plyr r-rbgl r-rcpp r-rcpparmadillo r-rcppparallel r-rgraphviz r-rhdf5lib r-rprotobuflib r-runit r-tibble r-xml r-xml2 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 "2.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FlowSOM" version)) (sha256 (base32 "1s7xilhhc55igq0zmvpfzhnh5df8bzmm3daknz75xhzhhg5b7z1c")))) (properties `((upstream-name . "FlowSOM"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-colorramps r-consensusclusterplus r-cytoml r-dplyr r-flowcore r-flowworkspace r-ggforce r-ggnewscale r-ggplot2 r-ggpointdensity r-ggpubr r-ggrepel r-igraph r-magrittr r-pheatmap r-rcolorbrewer r-rlang r-rtsne r-scattermore 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 "6.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mixOmics" version)) (sha256 (base32 "0w6shihvnvkjycba1hy8drd8wcxxcl2rimkrb4vdl8aygdifrarx")))) (properties `((upstream-name . "mixOmics"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-corpcor r-dplyr r-ellipse r-ggrepel r-ggplot2 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 "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DepecheR" version)) (sha256 (base32 "1j4gxgw1s3a0nm888k02qi1smxqsplc42827ks666md025h9bxcj")))) (properties `((upstream-name . "DepecheR"))) (build-system r-build-system) (propagated-inputs (list r-beanplot 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 "1.18.2") (source (origin (method url-fetch) (uri (bioconductor-uri "RcisTarget" version)) (sha256 (base32 "02lz2m2zhwy1dvmjvlss6qg0dh574qhnvn7al3wx7ck1hkz0dgi2")))) (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 "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Chicago" version)) (sha256 (base32 "1b24iiy6d5kzpixgpdkg4s1cb50jdrmgn9sjgvwr1qinckwz6zdn")))) (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 "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "cicero" version)) (sha256 (base32 "0grzp9k06dz04bw07nf9qka19mara1kplyd24y8mg8208wk949f6")))) (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 "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "circRNAprofiler" version)) (sha256 (base32 "07l8vaqbw36hvs8pyn1gk6dglnmkcmbafvd4rdrhg2wqwnlpsf40")))) (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 "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GENIE3" version)) (sha256 (base32 "096crx7n75x60s9sx3l7nld3yvrsqs0clvjsdarxc6bbn2qxk81i")))) (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 "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ROC" version)) (sha256 (base32 "00pw6xmxjzprbx8wskq6gbyqkfak764vic5yxrzs6wpram352vmv")))) (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 "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wateRmelon" version)) (sha256 (base32 "0m8mra0jb6sgm13dagqn1pj81dha4dyj65xc6r2sh0yc3pyjb20h")))) (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 "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gdsfmt" version)) (sha256 (base32 "1ck3qq4vhjp6vvicpldr7d2rkpspp5albjkbqjbshnbq11fhrk06")) (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"))) (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 "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bigmelon" version)) (sha256 (base32 "094d43yv8af8sijp43ndcaincnsf3ng32vgwh6bfazlq5d601r6y")))) (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 "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "seqbias" version)) (sha256 (base32 "0mc6lv7vkch138n46gk1q1hfhv37mfxjij39q36wa0jy7s8cagfa")))) (properties `((upstream-name . "seqbias"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-genomicranges r-rhtslib)) (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 "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ReQON" version)) (sha256 (base32 "1r4dzwnqv6a4zy5q9l3axqq23sbk9pjfb2y3fmwxjvdwq6c1qnp0")))) (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 "2.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wavClusteR" version)) (sha256 (base32 "1z7y3wnrqr2xqrvs2xwmv419aqlizq0az17dpxmj1hg9knyls1bx")))) (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 "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tilingArray" version)) (sha256 (base32 "19bkgblpkcp3w3sdyn82c37gkz1sv3r4d546zpbnh36q2pi3l4zd")))) (properties `((upstream-name . 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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 . 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(license license:artistic2.0))) (define-public r-wavetiling (package (name "r-wavetiling") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "waveTiling" version)) (sha256 (base32 "0d7l559zlmly8mncmh1zhkqmsml0bwwfpm7ccp8l26y852vwf7hf")))) (properties `((upstream-name . "waveTiling"))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-biostrings r-genomegraphs r-genomicranges r-iranges r-oligo r-oligoclasses r-preprocesscore r-waveslim)) (home-page "https://r-forge.r-project.org/projects/wavetiling/") (synopsis "Wavelet-based models for tiling array transcriptome analysis") (description "This package is designed to conduct transcriptome analysis for tiling arrays based on fast wavelet-based functional models.") 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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 "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "HTqPCR" version)) (sha256 (base32 "1kclvh8f2sf534cjw07ry9nx74n6p7r0vmc3mk2nr37yvpf26b3q")))) (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. 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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 "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ACE" version)) (sha256 (base32 "12gmdkzm9wnrq793xqvw3mzwmmsm1vkh36llapr7m7q4dmcfgxr0")))) (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 "1.76.0") (source (origin (method url-fetch) (uri (bioconductor-uri "aCGH" version)) (sha256 (base32 "05q303bf8acvhbdzqxqk2gf12vg0fdqknlxryn2cs8nijx40zp46")))) (properties `((upstream-name . 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To reduce the chances ;;; of a merge conflict, place them above by existing packages with similar ;;; functionality or similar names. ;;;