;;; GNU Guix --- Functional package management for GNU ;;; Copyright © 2016, 2017, 2018, 2019, 2020 Ricardo Wurmus ;;; Copyright © 2016, 2017, 2018, 2020 Roel Janssen ;;; Copyright © 2017, 2018, 2019 Tobias Geerinckx-Rice ;;; Copyright © 2019 Simon Tournier ;;; ;;; 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 git-download) #:use-module (guix build-system r) #:use-module (gnu packages) #:use-module (gnu packages base) #:use-module (gnu packages bioinformatics) #:use-module (gnu packages cran) #:use-module (gnu packages compression) #: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 maths) #:use-module (gnu packages netpbm) #: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-reactome-db (package (name "r-reactome-db") (version "1.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "reactome.db" version 'annotation)) (sha256 (base32 "05wc4fp0faq6h3kq5rwafnips043as31yq11mrjngfxvf5i10srg")))) (properties `((upstream-name . 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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 "1.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annotate" version)) (sha256 (base32 "1ivszqknryq6n5a85z8zj12fvgcs6zz3zlza8q08pl6cs4m5rm4w")))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-dbi" ,r-dbi) ("r-rcurl" ,r-rcurl) ("r-xml" ,r-xml) ("r-xtable" ,r-xtable))) (home-page "https://bioconductor.org/packages/annotate") (synopsis "Annotation for microarrays") (description "This package provides R environments for the annotation of microarrays.") 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(license license:lgpl2.0+))) (define-public r-qvalue (package (name "r-qvalue") (version "2.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "qvalue" version)) (sha256 (base32 "1hndmdr9niagbr4ry0vbhffvjzjg9im27kdbn0sa774k6r5b4z3f")))) (build-system r-build-system) (propagated-inputs `(("r-ggplot2" ,r-ggplot2) ("r-reshape2" ,r-reshape2))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "http://github.com/jdstorey/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-public r-diffbind (package (name "r-diffbind") (version "2.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DiffBind" version)) (sha256 (base32 "1mwqgljya1c7r2dfrdds3nswn9bn1l3ak1wavbpv4lbv3nkmykn5")))) (properties `((upstream-name . 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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-multtest (package (name "r-multtest") (version "2.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "multtest" version)) (sha256 (base32 "12li7nzzygm3sjfx472095irqpawixk48d0k591wlnrms6sxchx2")))) (build-system r-build-system) (propagated-inputs `(("r-survival" ,r-survival) ("r-biocgenerics" ,r-biocgenerics) ("r-biobase" ,r-biobase) ("r-mass" ,r-mass))) (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.") 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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-biocsingular (package (name "r-biocsingular") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocSingular" version)) (sha256 (base32 "0368a9xj4cvicqkxmhh12ln46q9gnxla70s1dqrxxfn3b6k525ih")))) (properties `((upstream-name . 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(license license:artistic2.0))) (define-public r-icobra (package (name "r-icobra") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "iCOBRA" version)) (sha256 (base32 "0cvklagby3i221dlhyb51cciv0b3ch4a8z0wpm67q5n6n3k0cil1")))) (properties `((upstream-name . "iCOBRA"))) (build-system r-build-system) (propagated-inputs `(("r-dplyr" ,r-dplyr) ("r-dt" ,r-dt) ("r-ggplot2" ,r-ggplot2) ("r-limma" ,r-limma) ("r-reshape2" ,r-reshape2) ("r-rocr" ,r-rocr) ("r-scales" ,r-scales) ("r-shiny" ,r-shiny) ("r-shinybs" ,r-shinybs) ("r-shinydashboard" ,r-shinydashboard) ("r-upsetr" ,r-upsetr))) (native-inputs `(("r-knitr" ,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. 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(license license:gpl2+))) (define-public r-monocle (package (name "r-monocle") (version "2.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "monocle" version)) (sha256 (base32 "1vziidavlyhixmx6j7lf29qx8xcjwrc9q3x2f63gcff41q3jf9xd")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biocviews" ,r-biocviews) ("r-cluster" ,r-cluster) ("r-combinat" ,r-combinat) ("r-ddrtree" ,r-ddrtree) ("r-densityclust" ,r-densityclust) ("r-dplyr" ,r-dplyr) ("r-fastica" ,r-fastica) ("r-ggplot2" ,r-ggplot2) ("r-hsmmsinglecell" ,r-hsmmsinglecell) ("r-igraph" ,r-igraph) ("r-irlba" ,r-irlba) ("r-limma" ,r-limma) ("r-mass" ,r-mass) ("r-matrix" ,r-matrix) ("r-matrixstats" ,r-matrixstats) ("r-pheatmap" ,r-pheatmap) ("r-plyr" ,r-plyr) ("r-proxy" ,r-proxy) ("r-qlcmatrix" ,r-qlcmatrix) ("r-rann" ,r-rann) ("r-rcpp" ,r-rcpp) ("r-reshape2" ,r-reshape2) ("r-rtsne" ,r-rtsne) ("r-slam" ,r-slam) ("r-stringr" ,r-stringr) ("r-tibble" ,r-tibble) ("r-vgam" ,r-vgam) ("r-viridis" ,r-viridis))) (native-inputs `(("r-knitr" ,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. 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(license license:expat))) (define-public r-noiseq (package (name "r-noiseq") (version "2.31.0") (source (origin (method url-fetch) (uri (bioconductor-uri "NOISeq" version)) (sha256 (base32 "0lg3za0km6v9l6dxigbxx6nsx9y6m3dyzh9srngi53s8387vhj33")))) (properties `((upstream-name . "NOISeq"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-matrix" ,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 "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scDD" version)) (sha256 (base32 "19q01jksxpv4p26wp2c6faa4fffkjnqlbcds2x955pk35jkqknxx")))) (properties `((upstream-name . "scDD"))) (build-system r-build-system) (propagated-inputs `(("r-arm" ,r-arm) ("r-biocparallel" ,r-biocparallel) ("r-ebseq" ,r-ebseq) ("r-fields" ,r-fields) ("r-ggplot2" ,r-ggplot2) ("r-mclust" ,r-mclust) ("r-outliers" ,r-outliers) ("r-s4vectors" ,r-s4vectors) ("r-scran" ,r-scran) ("r-singlecellexperiment" ,r-singlecellexperiment) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,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. 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(license license:gpl2))) (define-public r-illuminaio (package (name "r-illuminaio") (version "0.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "illuminaio" version)) (sha256 (base32 "0i587r1v5aa25w0jm1zvh7spc1gqmvza49i2kv00g1qzj8whq67c")))) (build-system r-build-system) (propagated-inputs `(("r-base64" ,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 "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "siggenes" version)) (sha256 (base32 "0i4y1hgq1ljxkf6sypb6c8yp412a8q5v5z68cx1zrgxnccvp0mfy")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-multtest" ,r-multtest) ("r-scrime" ,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 "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bumphunter" version)) (sha256 (base32 "04y6spdx89j3bsq2xniqd3sbfmakwc0klbpzjlp1q2xs9kywr4dq")))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-biocgenerics" ,r-biocgenerics) ("r-dorng" ,r-dorng) ("r-foreach" ,r-foreach) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-iterators" ,r-iterators) ("r-limma" ,r-limma) ("r-locfit" ,r-locfit) ("r-matrixstats" ,r-matrixstats) ("r-s4vectors" ,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.") 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(license license:artistic2.0))) (define-public r-methylumi (package (name "r-methylumi") (version "2.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "methylumi" version)) (sha256 (base32 "0phb2dyndnk9rv79nx246cn1sc9wbzdqqbgl6402knc7dgh799wr")))) (build-system r-build-system) (propagated-inputs `(("r-annotate" ,r-annotate) ("r-annotationdbi" ,r-annotationdbi) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-fdb-infiniummethylation-hg19" ,r-fdb-infiniummethylation-hg19) ("r-genefilter" ,r-genefilter) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-illuminaio" ,r-illuminaio) ("r-iranges" ,r-iranges) ("r-lattice" ,r-lattice) ("r-matrixstats" ,r-matrixstats) ("r-minfi" ,r-minfi) ("r-reshape2" ,r-reshape2) ("r-s4vectors" ,r-s4vectors) ("r-scales" ,r-scales) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,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-lumi (package (name "r-lumi") (version "2.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "lumi" version)) (sha256 (base32 "196izc4mdh8j4f04fsf8cqm99w1inzpwy34kwvhz6zvxj2ywn1i9")))) (build-system r-build-system) (propagated-inputs `(("r-affy" ,r-affy) ("r-annotate" ,r-annotate) ("r-annotationdbi" ,r-annotationdbi) ("r-biobase" ,r-biobase) ("r-dbi" ,r-dbi) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-kernsmooth" ,r-kernsmooth) ("r-lattice" ,r-lattice) ("r-mass" ,r-mass) ("r-methylumi" ,r-methylumi) ("r-mgcv" ,r-mgcv) ("r-nleqslv" ,r-nleqslv) ("r-preprocesscore" ,r-preprocesscore) ("r-rsqlite" ,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 "2.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Linnorm" version)) (sha256 (base32 "143hdfswp5sda5al1igrm5gyn7a6mp1j7hjm5jsc300335lm3kgp")))) (properties `((upstream-name . 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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 "2.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IONiseR" version)) (sha256 (base32 "05fndlblczabva60gn6h0dijqxyn0wknrv8a925fgc4bn415g31w")))) (properties `((upstream-name . 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(license license:expat))) ;; This is a CRAN package, but it depends on packages from Bioconductor. (define-public r-gkmsvm (package (name "r-gkmsvm") (version "0.80.0") (source (origin (method url-fetch) (uri (cran-uri "gkmSVM" version)) (sha256 (base32 "0ljcga246ad0ql8x3drvrdsyp0f20mgp3p6lnl79xb76qgfdnm0p")))) (properties `((upstream-name . "gkmSVM"))) (build-system r-build-system) (propagated-inputs `(("r-kernlab" ,r-kernlab) ("r-rcpp" ,r-rcpp) ("r-rocr" ,r-rocr) ("r-seqinr" ,r-seqinr))) (home-page "https://cran.r-project.org/web/packages/gkmSVM") (synopsis "Gapped-kmer support vector machine") (description "This R package provides tools for training gapped-kmer SVM classifiers for DNA and protein sequences. This package supports several sequence kernels, including: gkmSVM, kmer-SVM, mismatch kernel and wildcard kernel.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on multtest from Bioconductor. 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"MotIV"))) (build-system r-build-system) (inputs `(("gsl" ,gsl))) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-lattice" ,r-lattice) ("r-rgadem" ,r-rgadem) ("r-s4vectors" ,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 "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MotifDb" version)) (sha256 (base32 "0ixmdqp0s0xv9ar85n2wirbbssrzlk8a892wam55jdsf9y8aabkm")))) (properties `((upstream-name . "MotifDb"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors) ("r-splitstackshape" ,r-splitstackshape))) (native-inputs `(("r-knitr" ,r-knitr))) (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 "2.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "motifbreakR" version)) (sha256 (base32 "09czgmyjcycsvyvadpjddwwvqvxzd0ba3zhczh4mqc09gwa6vhlm")))) (properties `((upstream-name . "motifbreakR"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biocparallel" ,r-biocparallel) ("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-grimport" ,r-grimport) ("r-gviz" ,r-gviz) ("r-iranges" ,r-iranges) ("r-matrixstats" ,r-matrixstats) ("r-motifdb" ,r-motifdb) ("r-motifstack" ,r-motifstack) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors) ("r-stringr" ,r-stringr) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-tfmpvalue" ,r-tfmpvalue) ("r-variantannotation" ,r-variantannotation))) (native-inputs `(("r-knitr" ,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 "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "motifStack" version)) (sha256 (base32 "008f2mjcyyiz84ilrsldpqwvxy2lp93hjggrq4nrqwi78nyx3ls5")))) (properties `((upstream-name . "motifStack"))) (build-system r-build-system) (propagated-inputs `(("r-ade4" ,r-ade4) ("r-biostrings" ,r-biostrings) ("r-ggplot2" ,r-ggplot2) ("r-grimport2" ,r-grimport2) ("r-htmlwidgets" ,r-htmlwidgets) ("r-motiv" ,r-motiv) ("r-scales" ,r-scales) ("r-xml" ,r-xml))) (native-inputs `(("r-knitr" ,r-knitr))) (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 "2.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicScores" version)) (sha256 (base32 "0si2lgc37mkah4w990q1q2bf8xmshxj7cbx92bcrp0zaipjr96bb")))) (properties `((upstream-name . "GenomicScores"))) (build-system r-build-system) (propagated-inputs `(("r-annotationhub" ,r-annotationhub) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-delayedarray" ,r-delayedarray) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-hdf5array" ,r-hdf5array) ("r-iranges" ,r-iranges) ("r-rhdf5" ,r-rhdf5) ("r-s4vectors" ,r-s4vectors) ("r-xml" ,r-xml))) (native-inputs `(("r-knitr" ,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-atacseqqc (package (name "r-atacseqqc") (version "1.12.3") (source (origin (method url-fetch) (uri (bioconductor-uri "ATACseqQC" version)) (sha256 (base32 "12710c4024pndwwqiiqr6dhrd360z26fc8r3fxhs739gyd0ddk9r")))) (properties `((upstream-name . "ATACseqQC"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ("r-chippeakanno" ,r-chippeakanno) ("r-edger" ,r-edger) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicalignments" ,r-genomicalignments) ("r-genomicranges" ,r-genomicranges) ("r-genomicscores" ,r-genomicscores) ("r-iranges" ,r-iranges) ("r-kernsmooth" ,r-kernsmooth) ("r-limma" ,r-limma) ("r-motifstack" ,r-motifstack) ("r-preseqr" ,r-preseqr) ("r-randomforest" ,r-randomforest) ("r-rsamtools" ,r-rsamtools) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors))) (native-inputs `(("r-knitr" ,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 "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GOfuncR" version)) (sha256 (base32 "1ixjkqb9wpwqfzxsg0h96c6fa63wrk72sfh6x4pq0kpyrcc0ind1")))) (properties `((upstream-name . "GOfuncR"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-genomicranges" ,r-genomicranges) ("r-gtools" ,r-gtools) ("r-iranges" ,r-iranges) ("r-mapplots" ,r-mapplots) ("r-rcpp" ,r-rcpp) ("r-vioplot" ,r-vioplot))) (native-inputs `(("r-knitr" ,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 "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ABAEnrichment" version)) (sha256 (base32 "09ihbgxrhpcz2q7svldhm710a0yrhiqk9p0q0myv11c2w50ymwkw")))) (properties `((upstream-name . "ABAEnrichment"))) (build-system r-build-system) (propagated-inputs `(("r-abadata" ,r-abadata) ("r-data-table" ,r-data-table) ("r-gofuncr" ,r-gofuncr) ("r-gplots" ,r-gplots) ("r-gtools" ,r-gtools) ("r-rcpp" ,r-rcpp))) (native-inputs `(("r-knitr" ,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 "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationFuncs" version)) (sha256 (base32 "1yfsxzn7s1nlc3xz2yj39j6hmdfapc9qj9h0cd71gkaxj53ial7d")))) (properties `((upstream-name . "AnnotationFuncs"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-dbi" ,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 "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annotationTools" version)) (sha256 (base32 "1b1yfnknr9vbn4y2mxdfyx57i5jbabhp9pwx8axlg2a7lawkfmdk")))) (properties `((upstream-name . "annotationTools"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,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 "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AllelicImbalance" version)) (sha256 (base32 "0irn4xdlvazdkv0055f45693y6zvqaz7j3vml5xscnh45ls6vmqr")))) (properties `((upstream-name . "AllelicImbalance"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicalignments" ,r-genomicalignments) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-gridextra" ,r-gridextra) ("r-gviz" ,r-gviz) ("r-iranges" ,r-iranges) ("r-lattice" ,r-lattice) ("r-latticeextra" ,r-latticeextra) ("r-nlme" ,r-nlme) ("r-rsamtools" ,r-rsamtools) ("r-s4vectors" ,r-s4vectors) ("r-seqinr" ,r-seqinr) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-variantannotation" ,r-variantannotation))) (native-inputs `(("r-knitr" ,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 "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AUCell" version)) (sha256 (base32 "0fgqkgjhf92vkljkwn44lm8cjvzq1lvk80nk6xhsp5q6s5isbmns")))) (properties `((upstream-name . "AUCell"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-data-table" ,r-data-table) ("r-gseabase" ,r-gseabase) ("r-mixtools" ,r-mixtools) ("r-r-utils" ,r-r-utils) ("r-s4vectors" ,r-s4vectors) ("r-shiny" ,r-shiny) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,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 "4.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EBImage" version)) (sha256 (base32 "13amrbh545hwk7sygndzyv7wpa0m2y0lzlwj89jm1xm62x577w9v")))) (properties `((upstream-name . "EBImage"))) (build-system r-build-system) (propagated-inputs `(("r-abind" ,r-abind) ("r-biocgenerics" ,r-biocgenerics) ("r-fftwtools" ,r-fftwtools) ("r-htmltools" ,r-htmltools) ("r-htmlwidgets" ,r-htmlwidgets) ("r-jpeg" ,r-jpeg) ("r-locfit" ,r-locfit) ("r-png" ,r-png) ("r-rcurl" ,r-rcurl) ("r-tiff" ,r-tiff))) (native-inputs `(("r-knitr" ,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 "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yamss" version)) (sha256 (base32 "00x2lnssgzbmhy5bb2m0f8rq2nsz3lb5xlp2vhkcagza39h3xb0c")))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-data-table" ,r-data-table) ("r-ebimage" ,r-ebimage) ("r-iranges" ,r-iranges) ("r-limma" ,r-limma) ("r-matrix" ,r-matrix) ("r-mzr" ,r-mzr) ("r-s4vectors" ,r-s4vectors) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,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 "1.20.1") (source (origin (method url-fetch) (uri (bioconductor-uri "gtrellis" version)) (sha256 (base32 "1v2l7r945xx4cf9s8m19csj7716n2ayxy05adkl8zqgxk0gxzqm1")))) (build-system r-build-system) (propagated-inputs `(("r-circlize" ,r-circlize) ("r-genomicranges" ,r-genomicranges) ("r-getoptlong" ,r-getoptlong) ("r-iranges" ,r-iranges))) (native-inputs `(("r-knitr" ,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 "2.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SomaticSignatures" version)) (sha256 (base32 "0d34mss73w1jdnmilk060a1fywlfmqbnlir089q9m3q1p3x0j4c1")))) (properties `((upstream-name . "SomaticSignatures"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biostrings" ,r-biostrings) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-ggbio" ,r-ggbio) ("r-ggplot2" ,r-ggplot2) ("r-iranges" ,r-iranges) ("r-nmf" ,r-nmf) ("r-pcamethods" ,r-pcamethods) ("r-proxy" ,r-proxy) ("r-reshape2" ,r-reshape2) ("r-s4vectors" ,r-s4vectors) ("r-variantannotation" ,r-variantannotation))) (native-inputs `(("r-knitr" ,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 "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "YAPSA" version)) (sha256 (base32 "06lkf01vl4fyhj82srx8k870fhw76a1han0kp4jglh43b1c19c1k")))) (properties `((upstream-name . "YAPSA"))) (build-system r-build-system) (propagated-inputs `(("r-biostrings" ,r-biostrings) ("r-bsgenome-hsapiens-ucsc-hg19" ,r-bsgenome-hsapiens-ucsc-hg19) ("r-circlize" ,r-circlize) ("r-complexheatmap" ,r-complexheatmap) ("r-corrplot" ,r-corrplot) ("r-dendextend" ,r-dendextend) ("r-doparallel" ,r-doparallel) ("r-dplyr" ,r-dplyr) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-getoptlong" ,r-getoptlong) ("r-ggbeeswarm" ,r-ggbeeswarm) ("r-ggplot2" ,r-ggplot2) ("r-gridextra" ,r-gridextra) ("r-gtrellis" ,r-gtrellis) ("r-keggrest" ,r-keggrest) ("r-lsei" ,r-lsei) ("r-magrittr" ,r-magrittr) ("r-pmcmr" ,r-pmcmr) ("r-pracma" ,r-pracma) ("r-reshape2" ,r-reshape2) ("r-somaticsignatures" ,r-somaticsignatures) ("r-variantannotation" ,r-variantannotation))) (native-inputs `(("r-knitr" ,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 "2.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gcrma" version)) (sha256 (base32 "1klbnygc1i5ac1x00bsk0rjw5h5dn6pn65fa3y9r09q47gpy1c5g")))) (build-system r-build-system) (propagated-inputs `(("r-affy" ,r-affy) ("r-affyio" ,r-affyio) ("r-biobase" ,r-biobase) ("r-biocmanager" ,r-biocmanager) ("r-biostrings" ,r-biostrings) ("r-xvector" ,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 bidning is expected.") ;; Any version of the LGPL (license license:lgpl2.1+))) (define-public r-simpleaffy (package (name "r-simpleaffy") (version "2.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "simpleaffy" version)) (sha256 (base32 "040043spblr8v67lkn3nnxhgfmfh2iwaizph4fnms1ik6qz662x7")))) (build-system r-build-system) (propagated-inputs `(("r-affy" ,r-affy) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-gcrma" ,r-gcrma) ("r-genefilter" ,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. 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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 "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yarn" version)) (sha256 (base32 "1xdjwy1gkfg8lhgq4iwwmbi01903qljjs7yd96cvacmvgn8z6qvx")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biomart" ,r-biomart) ("r-downloader" ,r-downloader) ("r-edger" ,r-edger) ("r-gplots" ,r-gplots) ("r-limma" ,r-limma) ("r-matrixstats" ,r-matrixstats) ("r-preprocesscore" ,r-preprocesscore) ("r-quantro" ,r-quantro) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-readr" ,r-readr))) (native-inputs `(("r-knitr" ,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. 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(license license:artistic2.0))) (define-public r-roar (package (name "r-roar") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "roar" version)) (sha256 (base32 "069g887migvk70n0377dqr0fk7wjbz3w0asgk42bwhp8xpjfym6f")))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicalignments" ,r-genomicalignments) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors) ("r-summarizedexperiment" ,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.") 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(license license:lgpl3+))) (define-public r-webbioc (package (name "r-webbioc") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "webbioc" version)) (sha256 (base32 "16376ya5a5x2hwkl1v9y4r7np1drdwm912knnqg2dn90zmrdwr5f")))) (build-system r-build-system) (inputs `(("netpbm" ,netpbm) ("perl" ,perl))) (propagated-inputs `(("r-affy" ,r-affy) ("r-annaffy" ,r-annaffy) ("r-biobase" ,r-biobase) ("r-biocmanager" ,r-biocmanager) ("r-gcrma" ,r-gcrma) ("r-multtest" ,r-multtest) ("r-qvalue" ,r-qvalue) ("r-vsn" ,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.") 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(license license:gpl3))) (define-public r-rbowtie2 (package (name "r-rbowtie2") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rbowtie2" version)) (sha256 (base32 "1z2dn0q3wcw8b9ibx388kh7p5km16i71sw9miqj3daw7g0v5bxp3")))) (properties `((upstream-name . "Rbowtie2"))) (build-system r-build-system) (inputs `(("zlib" ,zlib))) (native-inputs `(("r-knitr" ,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.") 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(license license:asl2.0))) (define-public r-arrmnormalization (package (name "r-arrmnormalization") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ARRmNormalization" version)) (sha256 (base32 "0zhhvr051fmh6g0bqrl525mkf094j1jnc57j201jlzmvdpkydlpv")))) (properties `((upstream-name . "ARRmNormalization"))) (build-system r-build-system) (propagated-inputs `(("r-arrmdata" ,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.") 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(license license:artistic2.0))) (define-public r-iclusterplus (package (name "r-iclusterplus") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "iClusterPlus" version)) (sha256 (base32 "0j987xvxixdz0wnhgp4kgfcgz5jffrcdhmldrgpgv582qmf4r94w")))) (properties `((upstream-name . "iClusterPlus"))) (build-system r-build-system) (native-inputs `(("gfortran" ,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. 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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 `(("r-biobase" ,r-biobase) ("r-limma" ,r-limma) ("r-mass" ,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 "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MultiDataSet" version)) (sha256 (base32 "0hjnj32m9wwlh2krdpdyl5jk1cakvlgki80z51mabhc62pajzf39")))) (properties `((upstream-name . 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(license license:expat))) (define-public r-ropls (package (name "r-ropls") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ropls" version)) (sha256 (base32 "1drww1mr0nira3qplyga6s3mljpjxshjgbn524kzxi0nrfbcvmnx")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-multidataset" ,r-multidataset))) (native-inputs `(("r-knitr" ,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 "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biosigner" version)) (sha256 (base32 "1v760q7hzaybkf2q9230rmr4phi8hglm59qwsjzvncxrhs3dpj06")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-e1071" ,r-e1071) ("r-multidataset" ,r-multidataset) ("r-randomforest" ,r-randomforest) ("r-ropls" ,r-ropls))) (native-inputs `(("r-knitr" ,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.") 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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 "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowUtils" version)) (sha256 (base32 "03jj4zyffm9kwzrg4vbsk6clc2v2m95wgalgqwzi31n9a2zyaza4")))) (properties `((upstream-name . "flowUtils"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-corpcor" ,r-corpcor) ("r-flowcore" ,r-flowcore) ("r-graph" ,r-graph) ("r-runit" ,r-runit) ("r-xml" ,r-xml))) (home-page "https://github.com/jspidlen/flowUtils") (synopsis "Utilities for flow cytometry") (description "This package provides utilities for flow cytometry data.") 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(license license:gpl2))) (define-public r-cytolib (package (name "r-cytolib") (version "2.0.3") (source (origin (method url-fetch) (uri (bioconductor-uri "cytolib" version)) (sha256 (base32 "123d1wlymq8r8d83as380h1dgw6v4s317acyvp1lsg2cpfp3gslj")))) (properties `((upstream-name . "cytolib"))) (build-system r-build-system) (inputs `(("zlib" ,zlib))) (native-inputs `(("r-knitr" ,r-knitr))) (propagated-inputs `(("r-bh" ,r-bh) ("r-rcpp" ,r-rcpp) ("r-rcpparmadillo" ,r-rcpparmadillo) ("r-rcppparallel" ,r-rcppparallel) ("r-rhdf5lib" ,r-rhdf5lib) ("r-rprotobuflib" ,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 "2.0.1") (source (origin (method url-fetch) (uri (bioconductor-uri "flowCore" version)) (sha256 (base32 "1xalndmfidfzqwlppdanx7cnm4ysznq21ingmykhxni86s42kd8p")))) (properties `((upstream-name . "flowCore"))) (build-system r-build-system) (propagated-inputs `(("r-bh" ,r-bh) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-cytolib" ,r-cytolib) ("r-matrixstats" ,r-matrixstats) ("r-rcpp" ,r-rcpp) ("r-rcpparmadillo" ,r-rcpparmadillo) ("r-rprotobuflib" ,r-rprotobuflib))) (native-inputs `(("r-knitr" ,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 "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowMeans" version)) (sha256 (base32 "1sv5vpwm3qdhkn1gdrk3n674harjcni91g63sqzfmybiwq8dlym7")))) (properties `((upstream-name . "flowMeans"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-feature" ,r-feature) ("r-flowcore" ,r-flowcore) ("r-rrcov" ,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 "2.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ncdfFlow" version)) (sha256 (base32 "0avxn2abh4fk1gkncrxz7jwzgvd90m3m0ly318q0z38cjhsw3j9f")))) (properties `((upstream-name . "ncdfFlow"))) (build-system r-build-system) (inputs `(("zlib" ,zlib))) (propagated-inputs `(("r-bh" ,r-bh) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-flowcore" ,r-flowcore) ("r-rcpp" ,r-rcpp) ("r-rcpparmadillo" ,r-rcpparmadillo) ("r-rhdf5lib" ,r-rhdf5lib) ("r-zlibbioc" ,r-zlibbioc))) (native-inputs `(("r-knitr" ,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 "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ggcyto" version)) (sha256 (base32 "1ih6ggay7jjxnx8blc2sk95g8d40gkim145jllkk8sqwl02g44p0")))) (properties `((upstream-name . "ggcyto"))) (build-system r-build-system) (propagated-inputs `(("r-data-table" ,r-data-table) ("r-flowcore" ,r-flowcore) ("r-flowworkspace" ,r-flowworkspace) ("r-ggplot2" ,r-ggplot2) ("r-gridextra" ,r-gridextra) ("r-hexbin" ,r-hexbin) ("r-ncdfflow" ,r-ncdfflow) ("r-plyr" ,r-plyr) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-rlang" ,r-rlang) ("r-scales" ,r-scales))) (native-inputs `(("r-knitr" ,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 "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowViz" version)) (sha256 (base32 "0f3jfwdmaq9wrgl737blk5gmpc29l9kb6nadqhxpvbjwqsnzx0yq")))) (properties `((upstream-name . "flowViz"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-flowcore" ,r-flowcore) ("r-hexbin" ,r-hexbin) ("r-idpmisc" ,r-idpmisc) ("r-kernsmooth" ,r-kernsmooth) ("r-lattice" ,r-lattice) ("r-latticeextra" ,r-latticeextra) ("r-mass" ,r-mass) ("r-rcolorbrewer" ,r-rcolorbrewer))) (native-inputs `(("r-knitr" ,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 "3.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowClust" version)) (sha256 (base32 "06mkq9y41jax07x4knhvhzgrkgqdvpvcw604bxdk6bv9wx3ipq5b")))) (properties `((upstream-name . "flowClust"))) (build-system r-build-system) (arguments `(#:configure-flags (list "--configure-args=--enable-bundled-gsl=no"))) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-clue" ,r-clue) ("r-corpcor" ,r-corpcor) ("r-ellipse" ,r-ellipse) ("r-flowcore" ,r-flowcore) ("r-flowviz" ,r-flowviz) ("r-graph" ,r-graph) ("r-mnormt" ,r-mnormt))) (inputs `(("gsl" ,gsl))) (native-inputs `(("pkg-config" ,pkg-config) ("r-knitr" ,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 "2.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RProtoBufLib" version)) (sha256 (base32 "0kfinf9vzc1i5qxmaw832id557gr1vqdi1m8yiaxz83g37wh8vps")))) (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-3.10.0.tar.gz")) #t))))) (native-inputs `(("r-knitr" ,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 "4.0.3") (source (origin (method url-fetch) (uri (bioconductor-uri "flowWorkspace" version)) (sha256 (base32 "1fi76m6r5x4w390996989rignffdzl11k3prpimpwjd3566c276w")))) (properties `((upstream-name . 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(license license:artistic2.0))) (define-public r-opencyto (package (name "r-opencyto") (version "2.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "openCyto" version)) (sha256 (base32 "10dyd6dddskv70vhpwfbsqdb8pb9i3ka0fgvl1h51wqlckbsj89m")))) (properties `((upstream-name . 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(license license:artistic2.0))) (define-public r-cytoml (package (name "r-cytoml") (version "2.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CytoML" version)) (sha256 (base32 "0zpq2j4y9i5lls1kj2w4spl8qjp3076idsr2a2rjvy1fykzlp01q")))) (properties `((upstream-name . "CytoML"))) (build-system r-build-system) (inputs `(("libxml2" ,libxml2))) (propagated-inputs `(("r-base64enc" ,r-base64enc) ("r-bh" ,r-bh) ("r-biobase" ,r-biobase) ("r-corpcor" ,r-corpcor) ("r-cytolib" ,r-cytolib) ("r-data-table" ,r-data-table) ("r-dplyr" ,r-dplyr) ("r-flowcore" ,r-flowcore) ("r-flowworkspace" ,r-flowworkspace) ("r-ggcyto" ,r-ggcyto) ("r-graph" ,r-graph) ("r-jsonlite" ,r-jsonlite) ("r-lattice" ,r-lattice) ("r-opencyto" ,r-opencyto) ("r-plyr" ,r-plyr) ("r-rbgl" ,r-rbgl) ("r-rcpp" ,r-rcpp) ("r-rcpparmadillo" ,r-rcpparmadillo) ("r-rcppparallel" ,r-rcppparallel) ("r-rgraphviz" ,r-rgraphviz) ("r-rhdf5lib" ,r-rhdf5lib) ("r-rprotobuflib" ,r-rprotobuflib) ("r-runit" ,r-runit) ("r-tibble" ,r-tibble) ("r-xml" ,r-xml) ("r-yaml" ,r-yaml))) (native-inputs `(("r-knitr" ,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 "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FlowSOM" version)) (sha256 (base32 "1p17jv4q1dbcc47jpjy9hbcvzpwrx8waq7qpcj778jsyz6z6jh78")))) (properties `((upstream-name . "FlowSOM"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-consensusclusterplus" ,r-consensusclusterplus) ("r-cytoml" ,r-cytoml) ("r-flowcore" ,r-flowcore) ("r-flowworkspace" ,r-flowworkspace) ("r-igraph" ,r-igraph) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-tsne" ,r-tsne) ("r-xml" ,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 "6.12.1") (source (origin (method url-fetch) (uri (bioconductor-uri "mixOmics" version)) (sha256 (base32 "13kq9l5xwhwp30y5gfqfh5f11n63vn8rk195mb2y2mww4cwi6lv4")))) (properties `((upstream-name . "mixOmics"))) (build-system r-build-system) (propagated-inputs `(("r-corpcor" ,r-corpcor) ("r-dplyr" ,r-dplyr) ("r-ellipse" ,r-ellipse) ("r-ggplot2" ,r-ggplot2) ("r-gridextra" ,r-gridextra) ("r-igraph" ,r-igraph) ("r-lattice" ,r-lattice) ("r-mass" ,r-mass) ("r-matrixstats" ,r-matrixstats) ("r-rarpack" ,r-rarpack) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-reshape2" ,r-reshape2) ("r-tidyr" ,r-tidyr))) (native-inputs `(("r-knitr" ,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 (name "r-depecher") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DepecheR" version)) (sha256 (base32 "0nmx04qybzf6nhfngmdxwpbbz9x32v34mbnpg8jq7a2cgchzsj9s")))) (properties `((upstream-name . "DepecheR"))) (build-system r-build-system) (propagated-inputs `(("r-beanplot" ,r-beanplot) ("r-dosnow" ,r-dosnow) ("r-dplyr" ,r-dplyr) ("r-fnn" ,r-fnn) ("r-foreach" ,r-foreach) ("r-ggplot2" ,r-ggplot2) ("r-gplots" ,r-gplots) ("r-mass" ,r-mass) ("r-matrixstats" ,r-matrixstats) ("r-mixomics" ,r-mixomics) ("r-moments" ,r-moments) ("r-rcpp" ,r-rcpp) ("r-rcppeigen" ,r-rcppeigen) ("r-reshape2" ,r-reshape2) ("r-robustbase" ,r-robustbase) ("r-viridis" ,r-viridis))) (native-inputs `(("r-knitr" ,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 "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RcisTarget" version)) (sha256 (base32 "1lvi873dv0vhw53s1pmcilw8qwlywm9p2ybphcl168nzh6w31r4i")))) (properties `((upstream-name . "RcisTarget"))) (build-system r-build-system) (propagated-inputs `(("r-aucell" ,r-aucell) ("r-biocgenerics" ,r-biocgenerics) ("r-data-table" ,r-data-table) ("r-feather" ,r-feather) ("r-gseabase" ,r-gseabase) ("r-r-utils" ,r-r-utils) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,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-cicero (package (name "r-cicero") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "cicero" version)) (sha256 (base32 "0n78lf5hz6zzl550dbf4imis43pv91zicfff8y4lspckljhz9z75")))) (build-system r-build-system) (propagated-inputs `(("r-assertthat" ,r-assertthat) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-data-table" ,r-data-table) ("r-dplyr" ,r-dplyr) ("r-fnn" ,r-fnn) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-glasso" ,r-glasso) ("r-gviz" ,r-gviz) ("r-igraph" ,r-igraph) ("r-iranges" ,r-iranges) ("r-matrix" ,r-matrix) ("r-monocle" ,r-monocle) ("r-plyr" ,r-plyr) ("r-reshape2" ,r-reshape2) ("r-s4vectors" ,r-s4vectors) ("r-stringr" ,r-stringr) ("r-tibble" ,r-tibble) ("r-tidyr" ,r-tidyr) ("r-vgam" ,r-vgam))) (native-inputs `(("r-knitr" ,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.git") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "077yza93wdhi08n40md20jwk55k9lw1f3y0063qkk90cpz60wi0c")))) (propagated-inputs `(("r-monocle3" ,r-monocle3) ,@(alist-delete "r-monocle" (package-propagated-inputs r-cicero))))))) (define-public r-cistopic (let ((commit "29abd8df9afb60ff27ac3f0a590930debe926950") (revision "0")) (package (name "r-cistopic") (version (git-version "0.2.1" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/aertslab/cisTopic.git") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "0s8irpsv5d2zcv4ihanvsf1vrpignzliscxnvs4519af3jmx78h8")))) (build-system r-build-system) (propagated-inputs `(("r-aucell" ,r-aucell) ("r-data-table" ,r-data-table) ("r-dplyr" ,r-dplyr) ("r-dosnow" ,r-dosnow) ("r-dt" ,r-dt) ("r-feather" ,r-feather) ("r-fitdistrplus" ,r-fitdistrplus) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-lda" ,r-lda) ("r-matrix" ,r-matrix) ("r-plyr" ,r-plyr) ("r-rcistarget" ,r-rcistarget) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,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-genie3 (package (name "r-genie3") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GENIE3" version)) (sha256 (base32 "1bsm0gxracsyg1wnaw3whvskghfpbgbm9navr8wdmxj2hjp3dqs7")))) (properties `((upstream-name . "GENIE3"))) (build-system r-build-system) (propagated-inputs `(("r-reshape2" ,r-reshape2))) (native-inputs `(("r-knitr" ,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 "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ROC" version)) (sha256 (base32 "0gmx3r77yl5fqrj5j2hamwynbis75qd62q28964kx16z33xfgx89")))) (properties `((upstream-name . "ROC"))) (build-system r-build-system) (propagated-inputs `(("r-knitr" ,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-illuminahumanmethylation450kanno-ilmn12-hg19 (package (name "r-illuminahumanmethylation450kanno-ilmn12-hg19") (version "0.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IlluminaHumanMethylation450kanno.ilmn12.hg19" version 'annotation)) (sha256 (base32 "059vlxsx3p3fcnywwirahsc6mlk813zpqnbv0jsrag6x5bb8z6r4")))) (properties `((upstream-name . "IlluminaHumanMethylation450kanno.ilmn12.hg19"))) (build-system r-build-system) (propagated-inputs `(("r-minfi" ,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-watermelon (package (name "r-watermelon") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wateRmelon" version)) (sha256 (base32 "1c3a6bq3ggmv8kmdfrgiar6nwgircgzjrbgd9z9dqiin7j13gxwn")))) (properties `((upstream-name . "wateRmelon"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-illuminahumanmethylation450kanno-ilmn12-hg19" ,r-illuminahumanmethylation450kanno-ilmn12-hg19) ("r-illuminaio" ,r-illuminaio) ("r-limma" ,r-limma) ("r-lumi" ,r-lumi) ("r-matrixstats" ,r-matrixstats) ("r-methylumi" ,r-methylumi) ("r-roc" ,r-roc))) (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 "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gdsfmt" version)) (sha256 (base32 "00hggma0i15w03xi9jr02v2593jbqkcxyfcvpp7mdzrshn99m9p6")) (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 ">"))) #t)))) (properties `((upstream-name . "gdsfmt"))) (build-system r-build-system) (inputs `(("lz4" ,lz4) ("xz" ,xz) ("zlib" ,zlib))) (native-inputs `(("r-knitr" ,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 "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bigmelon" version)) (sha256 (base32 "1cryjhbiacm45g097rpqgbva49hs5vdx4y4h5h2v1gw4k78hwb4y")))) (properties `((upstream-name . "bigmelon"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-gdsfmt" ,r-gdsfmt) ("r-geoquery" ,r-geoquery) ("r-methylumi" ,r-methylumi) ("r-minfi" ,r-minfi) ("r-watermelon" ,r-watermelon))) (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 "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "seqbias" version)) (sha256 (base32 "0sy2fv98x4qfz9llns28jh1n4bi991jj856y8a5fbzpx7y990lai")))) (properties `((upstream-name . "seqbias"))) (build-system r-build-system) (propagated-inputs `(("r-biostrings" ,r-biostrings) ("r-genomicranges" ,r-genomicranges) ("r-rhtslib" ,r-rhtslib))) (inputs `(("zlib" ,zlib))) ; This comes from 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-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 `(("r-biocgenerics" ,r-biocgenerics) ("r-s4vectors" ,r-s4vectors) ("r-iranges" ,r-iranges) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-bsgenome" ,r-bsgenome) ("r-biostrings" ,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-reqon (package (name "r-reqon") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ReQON" version)) (sha256 (base32 "06m0hd4aqsxjyzhs8b1zys7lz8289qgwn7jp2dpln1j7cf02q4bz")))) (properties `((upstream-name . "ReQON"))) (build-system r-build-system) (propagated-inputs `(("r-rjava" ,r-rjava) ("r-rsamtools" ,r-rsamtools) ("r-seqbias" ,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 "2.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wavClusteR" version)) (sha256 (base32 "0204czqjmkwhd6gznwxzb0vj3dg3aif628g8c30085aa2jljn9bk")))) (properties `((upstream-name . "wavClusteR"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-foreach" ,r-foreach) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-hmisc" ,r-hmisc) ("r-iranges" ,r-iranges) ("r-mclust" ,r-mclust) ("r-rsamtools" ,r-rsamtools) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors) ("r-seqinr" ,r-seqinr) ("r-stringr" ,r-stringr) ("r-wmtsa" ,r-wmtsa))) (native-inputs `(("r-knitr" ,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-timeseriesexperiment (package (name "r-timeseriesexperiment") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TimeSeriesExperiment" version)) (sha256 (base32 "1k0djvcsyjj1ayncvmi8nlqi3jdn5qp41y3fwsqg1cp0qsvx7zv3")))) (properties `((upstream-name . "TimeSeriesExperiment"))) (build-system r-build-system) (propagated-inputs `(("r-deseq2" ,r-deseq2) ("r-dplyr" ,r-dplyr) ("r-dynamictreecut" ,r-dynamictreecut) ("r-edger" ,r-edger) ("r-ggplot2" ,r-ggplot2) ("r-hmisc" ,r-hmisc) ("r-limma" ,r-limma) ("r-magrittr" ,r-magrittr) ("r-proxy" ,r-proxy) ("r-s4vectors" ,r-s4vectors) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-tibble" ,r-tibble) ("r-tidyr" ,r-tidyr) ("r-vegan" ,r-vegan) ("r-viridis" ,r-viridis))) (native-inputs `(("r-knitr" ,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.") 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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 "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BicARE" version)) (sha256 (base32 "0llckbl3l26lf6wgjg7rxs8k1yrk043vvdhnkc6ncg33sydj383y")))) (properties `((upstream-name . "BicARE"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-gseabase" ,r-gseabase) ("r-multtest" ,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.") 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(license license:artistic2.0))) (define-public r-biobroom (package (name "r-biobroom") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biobroom" version)) (sha256 (base32 "06qcrprn58kbrr5kyw1jl6z88b9w9g8xs6rkhrbnz8k7rv373fhf")))) (properties `((upstream-name . "biobroom"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-broom" ,r-broom) ("r-dplyr" ,r-dplyr) ("r-tidyr" ,r-tidyr))) (native-inputs `(("r-knitr" ,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 "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "graphite" version)) (sha256 (base32 "0rc9cw3picz1y0lwhbzpk03ciij8kij74m15qgzh2ykla7zprb2p")))) (properties `((upstream-name . "graphite"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-checkmate" ,r-checkmate) ("r-graph" ,r-graph) ("r-httr" ,r-httr) ("r-rappdirs" ,r-rappdirs))) (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 "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ReactomePA" version)) (sha256 (base32 "1ngilyn1mihwxs4sh5gk9y829xghdmh277cfw3vfgflz9sgwy21x")))) (properties `((upstream-name . "ReactomePA"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-dose" ,r-dose) ("r-enrichplot" ,r-enrichplot) ("r-ggplot2" ,r-ggplot2) ("r-ggraph" ,r-ggraph) ("r-graphite" ,r-graphite) ("r-igraph" ,r-igraph) ("r-reactome-db" ,r-reactome-db))) (native-inputs `(("r-knitr" ,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 "2.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EBarrays" version)) (sha256 (base32 "063rhsdp8x0f881kslq06zxfp6b2qabrz4vmfrn8a4v3pd3n7s13")))) (properties `((upstream-name . "EBarrays"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-cluster" ,r-cluster) ("r-lattice" ,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-bioccasestudies (package (name "r-bioccasestudies") (version "1.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocCaseStudies" version)) (sha256 (base32 "1sg9vxs24zfz3dg9y0qlrdsq43y0pbahbvcfxzlxjzjw80xzxpbd")))) (properties `((upstream-name . 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(license license:artistic2.0))) (define-public r-multiassayexperiment (package (name "r-multiassayexperiment") (version "1.12.6") (source (origin (method url-fetch) (uri (bioconductor-uri "MultiAssayExperiment" version)) (sha256 (base32 "174vzlxsyayb5il77cb3zzgszxl3l0wkprc9w6pgz4yv5ix13adi")))) (properties `((upstream-name . "MultiAssayExperiment"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-s4vectors" ,r-s4vectors) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-tidyr" ,r-tidyr))) (native-inputs `(("r-knitr" ,r-knitr))) (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 "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocOncoTK" version)) (sha256 (base32 "0rnah6c01a33yb9663jim9iclan61rpcwprb56mykgn1pf5hywbj")))) (properties `((upstream-name . 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(license license:artistic2.0))) (define-public r-biocor (package (name "r-biocor") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioCor" version)) (sha256 (base32 "1bjw02rwmz2d715sgpfp08njb15200ch7cmipsf9hd5835ppg1jl")))) (properties `((upstream-name . "BioCor"))) (build-system r-build-system) (propagated-inputs `(("r-biocparallel" ,r-biocparallel) ("r-gseabase" ,r-gseabase) ("r-matrix" ,r-matrix))) (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 "1.4.6") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocPkgTools" version)) (sha256 (base32 "0grwnmncmpqcplbfw3j210m1a8f7mmdizklh4zksg4ic21dpjj1a")))) (properties `((upstream-name . 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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 "1.0.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocSet" version)) (sha256 (base32 "1xcksnvjflrdarn8xqmgf0n6wbsjkq9jazqwp35i52vqcq4ic1j9")))) (properties `((upstream-name . "BiocSet"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-dplyr" ,r-dplyr) ("r-keggrest" ,r-keggrest) ("r-plyr" ,r-plyr) ("r-rlang" ,r-rlang) ("r-rtracklayer" ,r-rtracklayer) ("r-tibble" ,r-tibble))) (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 "1.12.1") (source (origin (method url-fetch) (uri (bioconductor-uri "BiocWorkflowTools" version)) (sha256 (base32 "0z28s572wg9qxv52dmixxz1xf1z3fyp2j7kzk0k32fp628918wr6")))) (properties `((upstream-name . 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"bioDist"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-kernsmooth" ,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)))