;;; GNU Guix --- Functional package management for GNU ;;; Copyright © 2015, 2016, 2017, 2018, 2019, 2020, 2021 Ricardo Wurmus ;;; Copyright © 2016, 2017, 2018, 2020, 2021 Roel Janssen ;;; Copyright © 2016 Pjotr Prins ;;; Copyright © 2016 Ben Woodcroft ;;; Copyright © 2017 Efraim Flashner ;;; Copyright © 2017, 2018, 2019, 2020, 2021 Tobias Geerinckx-Rice ;;; Copyright © 2019, 2020, 2021 Simon Tournier ;;; Copyright © 2020 Peter Lo ;;; Copyright © 2020, 2021 Mădălin Ionel Patrașcu ;;; Copyright © 2020 Jakub Kądziołka ;;; Copyright © 2021 Hong Li ;;; Copyright © 2021 Tim Howes ;;; ;;; 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 boost) #:use-module (gnu packages cran) #:use-module (gnu packages compression) #:use-module (gnu packages curl) #:use-module (gnu packages docker) #:use-module (gnu packages gcc) #:use-module (gnu packages graph) #:use-module (gnu packages graphviz) #:use-module (gnu packages haskell-xyz) #:use-module (gnu packages image) #:use-module (gnu packages 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-org-eck12-eg-db (package (name "r-org-eck12-eg-db") (version "3.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.EcK12.eg.db" version 'annotation)) (sha256 (base32 "0c4p6jr83k0gm6pvn760yr8xf33wggrfcr6fg7a42a96bcf817gs")))) (properties `((upstream-name . 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(define-public r-deconstructsigs (package (name "r-deconstructsigs") (version "1.8.0") (source (origin (method url-fetch) (uri (cran-uri "deconstructSigs" version)) (sha256 (base32 "014x0nb23jb98666kaav2phkvmkr38pi38jv0dqd4jv7zp0gdf1a")))) (properties `((upstream-name . "deconstructSigs"))) (build-system r-build-system) (propagated-inputs `(("r-bsgenome" ,r-bsgenome) ("r-bsgenome-hsapiens-ucsc-hg19" ,r-bsgenome-hsapiens-ucsc-hg19) ("r-genomeinfodb" ,r-genomeinfodb) ("r-reshape2" ,r-reshape2))) (home-page "https://github.com/raerose01/deconstructSigs") (synopsis "Identifies signatures present in a tumor sample") (description "This package takes sample information in the form of the fraction of mutations in each of 96 trinucleotide contexts and identifies the weighted combination of published signatures that, when summed, most closely reconstructs the mutational profile.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on Bioconductor packages. 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Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization.") (license license:artistic2.0))) (define-public r-edger (package (name "r-edger") (version "3.34.1") (source (origin (method url-fetch) (uri (bioconductor-uri "edgeR" version)) (sha256 (base32 "0f6apsjq6cn794840ls9y2n0hix1gyhvkdgxch1v22qr4sq0c86k")))) (properties `((upstream-name . "edgeR"))) (build-system r-build-system) (propagated-inputs `(("r-limma" ,r-limma) ("r-locfit" ,r-locfit) ("r-rcpp" ,r-rcpp) ("r-statmod" ,r-statmod))) ;for estimateDisp (home-page "http://bioinf.wehi.edu.au/edgeR") (synopsis "EdgeR does empirical analysis of digital gene expression data") (description "This package can do differential expression analysis of RNA-seq expression profiles with biological replication. It implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. It be applied to differential signal analysis of other types of genomic data that produce counts, including ChIP-seq, SAGE and CAGE.") (license license:gpl2+))) (define-public r-ensembldb (package (name "r-ensembldb") (version "2.16.4") (source (origin (method url-fetch) (uri (bioconductor-uri "ensembldb" version)) (sha256 (base32 "15yllkxr6sj5pfvkvv285nk3q5374nzq1iz8ywmnrq910k3xagd8")))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-annotationfilter" ,r-annotationfilter) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-curl" ,r-curl) ("r-dbi" ,r-dbi) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-protgenerics" ,r-protgenerics) ("r-rsamtools" ,r-rsamtools) ("r-rsqlite" ,r-rsqlite) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/jotsetung/ensembldb") (synopsis "Utilities to create and use Ensembl-based annotation databases") (description "The package provides functions to create and use transcript-centric annotation databases/packages. The annotation for the databases are directly fetched from Ensembl using their Perl API. 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It can segment data from DNA microarrays and data from next generation sequencing for example to detect copy number segments. Further it can segment data from RNA microarrays like tiling arrays to identify transcripts. Most generally, it can segment data given as a matrix or as a vector. Various data formats can be used as input to fastseg like expression set objects for microarrays or GRanges for sequencing data.") (license license:lgpl2.0+))) (define-public r-gage (package (name "r-gage") (version "2.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gage" version)) (sha256 (base32 "0z7hrwdm6my6p7z04bcpfhqk72pd0s1bdzvsiiym59qj79fbvb83")))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-go-db" ,r-go-db) ("r-graph" ,r-graph) ("r-keggrest" ,r-keggrest))) (home-page (string-append "https://bmcbioinformatics.biomedcentral.com/" "articles/10.1186/1471-2105-10-161")) (synopsis "Generally applicable gene-set enrichment for pathway analysis") (description "GAGE is a published method for gene set (enrichment or GSEA) or pathway analysis. GAGE is generally applicable independent of microarray or RNA-Seq data attributes including sample sizes, experimental designs, assay platforms, and other types of heterogeneity. The gage package provides functions for basic GAGE analysis, result processing and presentation. In addition, it provides demo microarray data and commonly used gene set data based on KEGG pathways and GO terms. These functions and data are also useful for gene set analysis using other methods.") (license license:gpl2+))) (define-public r-genefilter (package (name "r-genefilter") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "genefilter" version)) (sha256 (base32 "0dy9pmlb0pc9b4ks5fb9zgnmhc9f2mkqmsdlb7f5z88xmj68y4qk")))) (build-system r-build-system) (native-inputs `(("gfortran" ,gfortran) ("r-knitr" ,r-knitr))) (propagated-inputs `(("r-annotate" ,r-annotate) ("r-annotationdbi" ,r-annotationdbi) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-survival" ,r-survival))) (home-page "https://bioconductor.org/packages/genefilter") (synopsis "Filter genes from high-throughput experiments") (description "This package provides basic functions for filtering genes from high-throughput sequencing experiments.") 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The package is designed to deal with sequencing data from @dfn{Reduced representation bisulfite sequencing} (RRBS) and its variants, but also target-capture methods and whole genome bisulfite sequencing. It also has functions to analyze base-pair resolution 5hmC data from experimental protocols such as oxBS-Seq and TAB-Seq.") (license license:artistic2.0))) (define-public r-motifrg (package (name "r-motifrg") (version "1.31.0") (source (origin (method url-fetch) (uri (bioconductor-uri "motifRG" version)) (sha256 (base32 "1ml6zyzlk8yjbnfhga2qnw8nl43rankvka0kc1yljxr2b66aqbhn")))) (properties `((upstream-name . 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(license license:artistic2.0))) (define-public r-mutationalpatterns (package (name "r-mutationalpatterns") (version "3.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MutationalPatterns" version)) (sha256 (base32 "0433i4xbz8hrfaj8fxgzps3x8dqrl5vgwzg7qmp4cy5sb1lw5wvs")))) (build-system r-build-system) (native-inputs `(("r-knitr" ,r-knitr))) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ;; These two packages are suggested packages ("r-bsgenome-hsapiens-1000g" ,r-bsgenome-hsapiens-1000genomes-hs37d5) ("r-bsgenome-hsapiens-ucsc-hg19" ,r-bsgenome-hsapiens-ucsc-hg19) ("r-cowplot" ,r-cowplot) ("r-dplyr" ,r-dplyr) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-ggalluvial" ,r-ggalluvial) ("r-ggdendro" ,r-ggdendro) ("r-ggplot2" ,r-ggplot2) ("r-iranges" ,r-iranges) ("r-magrittr" ,r-magrittr) ("r-nmf" ,r-nmf) ("r-pracma" ,r-pracma) ("r-purrr" ,r-purrr) ("r-s4vectors" ,r-s4vectors) ("r-stringr" ,r-stringr) ("r-tibble" ,r-tibble) ("r-tidyr" ,r-tidyr) ("r-variantannotation" ,r-variantannotation))) (home-page "https://bioconductor.org/packages/MutationalPatterns/") (synopsis "Extract and visualize mutational patterns in genomic data") (description "This package provides an extensive toolset for the characterization and visualization of a wide range of mutational patterns in SNV base substitution data.") (license license:expat))) (define-public r-msnbase (package (name "r-msnbase") (version "2.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MSnbase" version)) (sha256 (base32 "1z7s17j6zgb70m0khyf9icqlnbnzlivca7vw7j0vxyw417ld9lkr")))) (properties `((upstream-name . "MSnbase"))) (build-system r-build-system) (propagated-inputs `(("r-affy" ,r-affy) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biocparallel" ,r-biocparallel) ("r-digest" ,r-digest) ("r-ggplot2" ,r-ggplot2) ("r-impute" ,r-impute) ("r-iranges" ,r-iranges) ("r-lattice" ,r-lattice) ("r-maldiquant" ,r-maldiquant) ("r-mass" ,r-mass) ("r-mscoreutils" ,r-mscoreutils) ("r-mzid" ,r-mzid) ("r-mzr" ,r-mzr) ("r-pcamethods" ,r-pcamethods) ("r-plyr" ,r-plyr) ("r-protgenerics" ,r-protgenerics) ("r-rcpp" ,r-rcpp) ("r-s4vectors" ,r-s4vectors) ("r-scales" ,r-scales) ("r-vsn" ,r-vsn) ("r-xml" ,r-xml))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/lgatto/MSnbase") (synopsis "Base functions and classes for MS-based proteomics") (description "This package provides basic plotting, data manipulation and processing of mass spectrometry based proteomics data.") (license license:artistic2.0))) (define-public r-msnid (package (name "r-msnid") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MSnID" version)) (sha256 (base32 "0r3vgigf4fk0xzfg8gcvad01jdh0fysh6x22m9qy77x6glyrxcj2")))) (properties `((upstream-name . "MSnID"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-annotationhub" ,r-annotationhub) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biocstyle" ,r-biocstyle) ("r-biostrings" ,r-biostrings) ("r-data-table" ,r-data-table) ("r-doparallel" ,r-doparallel) ("r-dplyr" ,r-dplyr) ("r-foreach" ,r-foreach) ("r-ggplot2" ,r-ggplot2) ("r-iterators" ,r-iterators) ("r-msnbase" ,r-msnbase) ("r-msmstests" ,r-msmstests) ("r-mzid" ,r-mzid) ("r-mzr" ,r-mzr) ("r-protgenerics" ,r-protgenerics) ("r-purrr" ,r-purrr) ("r-r-cache" ,r-r-cache) ("r-rcpp" ,r-rcpp) ("r-reshape2" ,r-reshape2) ("r-rlang" ,r-rlang) ("r-runit" ,r-runit) ("r-stringr" ,r-stringr) ("r-tibble" ,r-tibble) ("r-xtable" ,r-xtable))) (home-page "https://bioconductor.org/packages/MSnID") (synopsis "Utilities for LC-MSn proteomics identifications") (description "This package extracts @dfn{tandem mass spectrometry} (MS/MS) ID data from mzIdentML (leveraging the mzID package) or text files. After collating the search results from multiple datasets it assesses their identification quality and optimize filtering criteria to achieve the maximum number of identifications while not exceeding a specified false discovery rate. It also contains a number of utilities to explore the MS/MS results and assess missed and irregular enzymatic cleavages, mass measurement accuracy, etc.") (license license:artistic2.0))) (define-public r-mzid (package (name "r-mzid") (version "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mzID" version)) (sha256 (base32 "1wsy6frxa5602jqb1nlqv39mzgpid8wfyvb9m2jb6srv7p59rgys")))) (properties `((upstream-name . "mzID"))) (build-system r-build-system) (propagated-inputs `(("r-doparallel" ,r-doparallel) ("r-foreach" ,r-foreach) ("r-iterators" ,r-iterators) ("r-plyr" ,r-plyr) ("r-protgenerics" ,r-protgenerics) ("r-xml" ,r-xml))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/mzID") (synopsis "Parser for mzIdentML files") (description "This package provides a parser for mzIdentML files implemented using the XML package. The parser tries to be general and able to handle all types of mzIdentML files with the drawback of having less pretty output than a vendor specific parser.") (license license:gpl2+))) (define-public r-mzr (package (name "r-mzr") (version "2.26.1") (source (origin (method url-fetch) (uri (bioconductor-uri "mzR" version)) (sha256 (base32 "0z4cz6lir9gwzy0hxwv03wv36fkkfdb97p9wv4af020k0zkp3ipr")) (modules '((guix build utils))) (snippet '(begin (delete-file-recursively "src/boost") #t)))) (properties `((upstream-name . "mzR"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'use-system-boost (lambda _ (substitute* "src/Makevars" (("\\./boost/libs.*") "") (("PKG_LIBS=") "PKG_LIBS=$(BOOST_LIBS) ") (("\\ARCH_OBJS=" line) (string-append line "\nBOOST_LIBS=-lboost_system -lboost_regex \ -lboost_iostreams -lboost_thread -lboost_filesystem -lboost_chrono\n"))) #t))))) (inputs `(;; Our default boost package won't work here, unfortunately, even with ;; mzR version 2.26.1. ("boost" ,boost-for-mysql) ; use this instead of the bundled boost sources ("zlib" ,zlib))) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-ncdf4" ,r-ncdf4) ("r-protgenerics" ,r-protgenerics) ("r-rcpp" ,r-rcpp) ("r-rhdf5lib" ,r-rhdf5lib) ("r-zlibbioc" ,r-zlibbioc))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/sneumann/mzR/") (synopsis "Parser for mass spectrometry data files") (description "The mzR package provides a unified API to the common file formats and parsers available for mass spectrometry data. It comes with a wrapper for the ISB random access parser for mass spectrometry mzXML, mzData and mzML files. The package contains the original code written by the ISB, and a subset of the proteowizard library for mzML and mzIdentML. The netCDF reading code has previously been used in XCMS.") (license license:artistic2.0))) (define-public r-organismdbi (package (name "r-organismdbi") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "OrganismDbi" version)) (sha256 (base32 "0p8ccpdchdwci4kv9y07wdadzgms8nipvg6rm1rll35jcflnnkxi")))) (properties `((upstream-name . "OrganismDbi"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biocmanager" ,r-biocmanager) ("r-dbi" ,r-dbi) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-graph" ,r-graph) ("r-iranges" ,r-iranges) ("r-rbgl" ,r-rbgl) ("r-s4vectors" ,r-s4vectors))) (home-page "https://bioconductor.org/packages/OrganismDbi") (synopsis "Software to enable the smooth interfacing of database packages") (description "The package enables a simple unified interface to several annotation packages each of which has its own schema by taking advantage of the fact that each of these packages implements a select methods.") (license license:artistic2.0))) (define-public r-pcamethods (package (name "r-pcamethods") (version "1.84.0") (source (origin (method url-fetch) (uri (bioconductor-uri "pcaMethods" version)) (sha256 (base32 "1ccqsxn487dy92c2d1iffh9917z4zq5ia92zv2h6pi00jjc6ymb5")))) (properties `((upstream-name . "pcaMethods"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-mass" ,r-mass) ("r-rcpp" ,r-rcpp))) (home-page "https://github.com/hredestig/pcamethods") (synopsis "Collection of PCA methods") (description "This package provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a common interface to the PCA results.") (license license:gpl3+))) (define-public r-protgenerics (package (name "r-protgenerics") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ProtGenerics" version)) (sha256 (base32 "1c79k8nc28782w5gxi7pkm8jmddq1hdw6khs9kgsp8dyk60ak6fq")))) (properties `((upstream-name . "ProtGenerics"))) (build-system r-build-system) (home-page "https://github.com/lgatto/ProtGenerics") (synopsis "S4 generic functions for proteomics infrastructure") (description "This package provides S4 generic functions needed by Bioconductor proteomics packages.") (license license:artistic2.0))) (define-public r-rbgl (package (name "r-rbgl") (version "1.68.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RBGL" version)) (sha256 (base32 "0l40ibf8g5s4ay83s92l198jjqc5l09hcmxqcjrpifvp5pjf9yy5")))) (properties `((upstream-name . "RBGL"))) (build-system r-build-system) (propagated-inputs `(("r-bh" ,r-bh) ("r-graph" ,r-graph))) (home-page "https://www.bioconductor.org/packages/RBGL") (synopsis "Interface to the Boost graph library") (description "This package provides a fairly extensive and comprehensive interface to the graph algorithms contained in the Boost library.") (license license:artistic2.0))) (define-public r-rcas (package (name "r-rcas") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RCAS" version)) (sha256 (base32 "0l92v870ndna8zjqwzf22fb9vyhkh6942v4gaiqr1yc4qr521p5p")))) (properties `((upstream-name . "RCAS"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ("r-bsgenome-hsapiens-ucsc-hg19" ,r-bsgenome-hsapiens-ucsc-hg19) ("r-cowplot" ,r-cowplot) ("r-data-table" ,r-data-table) ("r-dt" ,r-dt) ("r-genomation" ,r-genomation) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-ggseqlogo" ,r-ggseqlogo) ("r-gprofiler2" ,r-gprofiler2) ("r-iranges" ,r-iranges) ("r-knitr" ,r-knitr) ("r-pbapply" ,r-pbapply) ("r-pheatmap" ,r-pheatmap) ("r-plotly" ,r-plotly) ("r-plotrix" ,r-plotrix) ("r-proxy" ,r-proxy) ("r-ranger" ,r-ranger) ("r-rsqlite" ,r-rsqlite) ("r-rtracklayer" ,r-rtracklayer) ("r-rmarkdown" ,r-rmarkdown) ("r-s4vectors" ,r-s4vectors) ("pandoc" ,pandoc))) (native-inputs `(("r-knitr" ,r-knitr))) (synopsis "RNA-centric annotation system") (description "RCAS aims to be a standalone RNA-centric annotation system that provides intuitive reports and publication-ready graphics. This package provides the R library implementing most of the pipeline's features.") (home-page "https://github.com/BIMSBbioinfo/RCAS") (license license:artistic2.0))) (define-public r-regioner (package (name "r-regioner") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "regioneR" version)) (sha256 (base32 "0xzzaz3cl6pyxfsg0d931v8k15wbd05s5mnsb7igxldc5qqg3nsl")))) (properties `((upstream-name . "regioneR"))) (build-system r-build-system) (propagated-inputs `(("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-memoise" ,r-memoise) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/regioneR/") (synopsis "Association analysis of genomic regions") (description "This package offers a statistical framework based on customizable permutation tests to assess the association between genomic region sets and other genomic features.") (license license:artistic2.0))) (define-public r-reportingtools (package (name "r-reportingtools") (version "2.32.1") (source (origin (method url-fetch) (uri (bioconductor-uri "ReportingTools" version)) (sha256 (base32 "0wq9y649dh1am6djzz0xlz42428xsgw2bdx1dknhdw2xbydmmx47")))) (properties `((upstream-name . "ReportingTools"))) (build-system r-build-system) (propagated-inputs `(("r-annotate" ,r-annotate) ("r-annotationdbi" ,r-annotationdbi) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-category" ,r-category) ("r-deseq2" ,r-deseq2) ("r-edger" ,r-edger) ("r-ggbio" ,r-ggbio) ("r-ggplot2" ,r-ggplot2) ("r-gostats" ,r-gostats) ("r-gseabase" ,r-gseabase) ("r-hwriter" ,r-hwriter) ("r-iranges" ,r-iranges) ("r-knitr" ,r-knitr) ("r-lattice" ,r-lattice) ("r-limma" ,r-limma) ("r-pfam-db" ,r-pfam-db) ("r-r-utils" ,r-r-utils) ("r-xml" ,r-xml))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/ReportingTools/") (synopsis "Tools for making reports in various formats") (description "The ReportingTools package enables users to easily display reports of analysis results generated from sources such as microarray and sequencing data. The package allows users to create HTML pages that may be viewed on a web browser, or in other formats. Users can generate tables with sortable and filterable columns, make and display plots, and link table entries to other data sources such as NCBI or larger plots within the HTML page. Using the package, users can also produce a table of contents page to link various reports together for a particular project that can be viewed in a web browser.") (license license:artistic2.0))) (define-public r-rhdf5 (package (name "r-rhdf5") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rhdf5" version)) (sha256 (base32 "1a5kw9ry9cr258al0x3q0ss5xn1ymscdypx51vzzgzamhy7dqakz")))) (build-system r-build-system) (propagated-inputs `(("r-rhdf5filters" ,r-rhdf5filters) ("r-rhdf5lib" ,r-rhdf5lib))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/rhdf5") (synopsis "HDF5 interface to R") (description "This R/Bioconductor package provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on mass storage (disk) through a completely portable file format. The rhdf5 package is thus suited for the exchange of large and/or complex datasets between R and other software package, and for letting R applications work on datasets that are larger than the available RAM.") (license license:artistic2.0))) (define-public r-rhdf5filters (package (name "r-rhdf5filters") (version "1.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "rhdf5filters" version)) (sha256 (base32 "133v0s452acspi4dbf6gsa2xrr0qza86jdjjbpwhdv6zfd1djbgc")))) (properties `((upstream-name . "rhdf5filters"))) (build-system r-build-system) (propagated-inputs `(("r-rhdf5lib" ,r-rhdf5lib))) (inputs `(("zlib" ,zlib))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/grimbough/rhdf5filters") (synopsis "HDF5 compression filters") (description "This package provides a collection of compression filters for use with HDF5 datasets.") (license license:bsd-2))) (define-public r-rsamtools (package (name "r-rsamtools") (version "2.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rsamtools" version)) (sha256 (base32 "0arhh5bbx3pmxmkh5sjgczcswqy83d35r7cjhd2knpczdvrixaq5")))) (properties `((upstream-name . "Rsamtools"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'use-system-zlib (lambda _ (substitute* "DESCRIPTION" (("zlibbioc, ") "")) (substitute* "NAMESPACE" (("import\\(zlibbioc\\)") ""))))))) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biocparallel" ,r-biocparallel) ("r-biostrings" ,r-biostrings) ("r-bitops" ,r-bitops) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-rhtslib" ,r-rhtslib) ("r-s4vectors" ,r-s4vectors) ("r-xvector" ,r-xvector))) (home-page "https://bioconductor.org/packages/release/bioc/html/Rsamtools.html") (synopsis "Interface to samtools, bcftools, and tabix") (description "This package provides an interface to the @code{samtools}, @code{bcftools}, and @code{tabix} utilities for manipulating SAM (Sequence Alignment / Map), FASTA, binary variant call (BCF) and compressed indexed tab-delimited (tabix) files.") (license license:expat))) ;; This is a CRAN package, but it depends on a Bioconductor package: ;; s4vectors. (define-public r-restfulr (package (name "r-restfulr") (version "0.0.13") (source (origin (method url-fetch) (uri (cran-uri "restfulr" version)) (sha256 (base32 "1dk45mzrr6ka92yjz7hfhkj12kpx1wg4szv1h1mg80mgga4ganbv")))) (properties `((upstream-name . "restfulr"))) (build-system r-build-system) (propagated-inputs `(("r-rcurl" ,r-rcurl) ("r-rjson" ,r-rjson) ("r-s4vectors" ,r-s4vectors) ("r-xml" ,r-xml) ("r-yaml" ,r-yaml))) (home-page "https://cran.r-project.org/package=restfulr") (synopsis "R interface to RESTful web services") (description "This package models a RESTful service as if it were a nested R list.") (license license:artistic2.0))) (define-public r-rtracklayer (package (name "r-rtracklayer") (version "1.52.1") (source (origin (method url-fetch) (uri (bioconductor-uri "rtracklayer" version)) (sha256 (base32 "11w6dx09pb49lin1gr9q88xn7ixh9jd5z6m9z27djchm0nw10lx9")))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'use-system-zlib (lambda _ (substitute* "DESCRIPTION" ((" zlibbioc,") "")) (substitute* "NAMESPACE" (("import\\(zlibbioc\\)") ""))))))) (native-inputs `(("pkg-config" ,pkg-config))) (inputs `(("zlib" ,zlib))) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biocio" ,r-biocio) ("r-biostrings" ,r-biostrings) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicalignments" ,r-genomicalignments) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-rcurl" ,r-rcurl) ("r-restfulr" ,r-restfulr) ("r-rsamtools" ,r-rsamtools) ("r-s4vectors" ,r-s4vectors) ("r-xml" ,r-xml) ("r-xvector" ,r-xvector) ("r-zlibbioc" ,r-zlibbioc))) (home-page "https://bioconductor.org/packages/rtracklayer") (synopsis "R interface to genome browsers and their annotation tracks") (description "rtracklayer is an extensible framework for interacting with multiple genome browsers (currently UCSC built-in) and manipulating annotation tracks in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit built-in). The user may export/import tracks to/from the supported browsers, as well as query and modify the browser state, such as the current viewport.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-samr (package (name "r-samr") (version "3.0") (source (origin (method url-fetch) (uri (cran-uri "samr" version)) (sha256 (base32 "01km0f7qgm73x19vbvsxl083hs1dq4dj8qm5h64cxbf20b08my15")))) (properties `((upstream-name . "samr"))) (build-system r-build-system) (propagated-inputs `(("r-gsa" ,r-gsa) ("r-impute" ,r-impute) ("r-matrixstats" ,r-matrixstats) ("r-openxlsx" ,r-openxlsx) ("r-shiny" ,r-shiny) ("r-shinyfiles" ,r-shinyfiles))) (native-inputs `(("gfortran" ,gfortran))) (home-page "https://statweb.stanford.edu/~tibs/SAM/") (synopsis "Significance analysis of Microarrays") (description "This is a package for significance analysis of Microarrays for differential expression analysis, RNAseq data and related problems.") ;; Any version of the LGPL (license license:lgpl3+))) (define-public r-seqlogo (package (name "r-seqlogo") (version "1.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "seqLogo" version)) (sha256 (base32 "1253sj1hc6bbrff0iv5xa3v9znqvisll0fy6fdjka9c778fn4mcp")))) (properties `((upstream-name . 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The package also contains legacy support for early single-end, ungapped alignment formats.") (license license:artistic2.0))) (define-public r-simplifyenrichment (package (name "r-simplifyenrichment") (version "1.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "simplifyEnrichment" version)) (sha256 (base32 "0rqa414kvyjjmj4932zk39rqa14z13b57rkrxdrf16jmq2r437vh")))) (properties `((upstream-name . 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(license license:expat))) (define-public r-trajectoryutils (package (name "r-trajectoryutils") (version "1.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "TrajectoryUtils" version)) (sha256 (base32 "1b7mg3ypp1ay98cav47h9vn692lx0n9b5b0hpansgnkr5prb823b")))) (properties `((upstream-name . "TrajectoryUtils"))) (build-system r-build-system) (propagated-inputs `(("r-igraph" ,r-igraph) ("r-matrix" ,r-matrix) ("r-s4vectors" ,r-s4vectors) ("r-singlecellexperiment" ,r-singlecellexperiment) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/TrajectoryUtils") (synopsis "Single-cell trajectory analysis utilities") (description "This package implements low-level utilities for single-cell trajectory analysis, primarily intended for re-use inside higher-level packages. It includes a function to create a cluster-level minimum spanning tree and data structures to hold pseudotime inference results.") (license license:gpl3))) (define-public r-slingshot (package (name "r-slingshot") (version "2.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "slingshot" version)) (sha256 (base32 "1aqsz2kxwax8d8d5iv3zk5hlyk5aya1wbxs1wky2rgccw4d35whx")))) (build-system r-build-system) (propagated-inputs `(("r-igraph" ,r-igraph) ("r-matrixstats" ,r-matrixstats) ("r-princurve" ,r-princurve) ("r-s4vectors" ,r-s4vectors) ("r-singlecellexperiment" ,r-singlecellexperiment) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-trajectoryutils" ,r-trajectoryutils))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/slingshot") (synopsis "Tools for ordering single-cell sequencing") (description "This package provides functions for inferring continuous, branching lineage structures in low-dimensional data. Slingshot was designed to model developmental trajectories in single-cell RNA sequencing data and serve as a component in an analysis pipeline after dimensionality reduction and clustering. It is flexible enough to handle arbitrarily many branching events and allows for the incorporation of prior knowledge through supervised graph construction.") 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The packages contains functions for parsing VCFs from a number of popular callers as well as functions for dealing with breakpoints involving two separate genomic loci encoded as GRanges objects.") (license license:gpl3))) (define-public r-summarizedexperiment (package (name "r-summarizedexperiment") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SummarizedExperiment" version)) (sha256 (base32 "16np5ik6jgbi68mhlib6yskywwbaa50mlr7m3sh1hqk889whfn1g")))) (properties `((upstream-name . 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(license license:artistic2.0))) (define-public r-sva (package (name "r-sva") (version "3.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "sva" version)) (sha256 (base32 "12jkcybdfspabh7x124d44l9fj1hwwg3gvcqxvz5wpkiflc2vkji")))) (build-system r-build-system) (propagated-inputs `(("r-edger" ,r-edger) ("r-genefilter" ,r-genefilter) ("r-mgcv" ,r-mgcv) ("r-biocparallel" ,r-biocparallel) ("r-matrixstats" ,r-matrixstats) ("r-limma" ,r-limma))) (home-page "https://bioconductor.org/packages/sva") (synopsis "Surrogate variable analysis") (description "This package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. It also contains functions for identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data like gene expression/RNA sequencing/methylation/brain imaging data that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise.") (license license:artistic2.0))) (define-public r-systempiper (package (name "r-systempiper") (version "1.26.3") (source (origin (method url-fetch) (uri (bioconductor-uri "systemPipeR" version)) (sha256 (base32 "01l35l5zj87qkarrbal9la6kshk3j7k8hy3iimv3gdnnz4axmvs7")))) (properties `((upstream-name . 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Important features include a uniform workflow interface across different NGS applications, automated report generation, and support for running both R and command-line software, such as NGS aligners or peak/variant callers, on local computers or compute clusters. Efficient handling of complex sample sets and experimental designs is facilitated by a consistently implemented sample annotation infrastructure.") (license license:artistic2.0))) (define-public r-topgo (package (name "r-topgo") (version "2.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "topGO" version)) (sha256 (base32 "1ggi7yrhkyi85p3sfj3yd95n9mzq1xpff28ixa4dl9yzasks1v5a")))) (properties `((upstream-name . 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(license license:lgpl2.1+))) (define-public r-tximport (package (name "r-tximport") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tximport" version)) (sha256 (base32 "0ip2yr0zspf2aagskxl4dwncr48dw5qb90an3sswnnh2dqdb82if")))) (build-system r-build-system) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/tximport") (synopsis "Import and summarize transcript-level estimates for gene-level analysis") (description "This package provides tools to import transcript-level abundance, estimated counts and transcript lengths, and to summarize them into matrices for use with downstream gene-level analysis packages. Average transcript length, weighted by sample-specific transcript abundance estimates, is provided as a matrix which can be used as an offset for different expression of gene-level counts.") 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(license license:artistic2.0))) (define-public r-vsn (package (name "r-vsn") (version "3.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "vsn" version)) (sha256 (base32 "0nppph3kv8z83368snb8s3n4vcqj829yyi1kh4q09qvq18rhvssv")))) (build-system r-build-system) (propagated-inputs `(("r-affy" ,r-affy) ("r-biobase" ,r-biobase) ("r-ggplot2" ,r-ggplot2) ("r-lattice" ,r-lattice) ("r-limma" ,r-limma))) (native-inputs `(("r-knitr" ,r-knitr))) ; for vignettes (home-page "https://bioconductor.org/packages/release/bioc/html/vsn.html") (synopsis "Variance stabilization and calibration for microarray data") (description "The package implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation. Differences between transformed intensities are analogous to \"normalized log-ratios\". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.") (license license:artistic2.0))) (define-public r-xvector (package (name "r-xvector") (version "0.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "XVector" version)) (sha256 (base32 "1cw34gd9iaspl0v737xl7rngq63zrj03a5ngai15ggrnv1sq2aqr")))) (properties `((upstream-name . 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(license license:lgpl2.0+))) (define-public r-qvalue (package (name "r-qvalue") (version "2.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "qvalue" version)) (sha256 (base32 "0xssanffh1hr7f48mnazcpwi25rdp7mxlyb9nbf4q2mp7m40jnpm")))) (build-system r-build-system) (propagated-inputs `(("r-ggplot2" ,r-ggplot2) ("r-reshape2" ,r-reshape2))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/StoreyLab/qvalue") (synopsis "Q-value estimation for false discovery rate control") (description "This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local @dfn{false discovery rate} (FDR) values. The q-value of a test measures the proportion of false positives incurred when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Various plots are automatically generated, allowing one to make sensible significance cut-offs. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.") ;; Any version of the LGPL. (license license:lgpl3+))) (define r-rcppnumerical (package (name "r-rcppnumerical") (version "0.4-0") (source (origin (method url-fetch) (uri (cran-uri "RcppNumerical" version)) (sha256 (base32 "1a92fql6mijhnr1kxkcxwivf95pk9lhgmhzkshs51h0ybfv5krik")))) (properties `((upstream-name . "RcppNumerical"))) (build-system r-build-system) (propagated-inputs `(("r-rcpp" ,r-rcpp) ("r-rcppeigen" ,r-rcppeigen))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/yixuan/RcppNumerical") (synopsis "Rcpp integration for numerical computing libraries") (description "This package provides a collection of open source libraries for numerical computing (numerical integration, optimization, etc.) and their integration with @code{Rcpp}.") (license license:gpl2+))) (define-public r-apeglm (package (name "r-apeglm") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "apeglm" version)) (sha256 (base32 "1xld6ar440achik4dbd7vhiw6jfj0sb96jm52n7hav5bv4gag3mh")))) (properties `((upstream-name . "apeglm"))) (build-system r-build-system) (propagated-inputs `(("r-emdbook" ,r-emdbook) ("r-genomicranges" ,r-genomicranges) ("r-rcpp" ,r-rcpp) ("r-rcppeigen" ,r-rcppeigen) ("r-rcppnumerical" ,r-rcppnumerical) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/apeglm") (synopsis "Approximate posterior estimation for GLM coefficients") (description "This package provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.") (license license:gpl2))) (define-public r-greylistchip (package (name "r-greylistchip") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GreyListChIP" version)) (sha256 (base32 "1g9ja8p90czx83ar0l9ran7m6aggvszdbqm714fq7z4rxq9b4hs3")))) (properties `((upstream-name . "GreyListChIP"))) (build-system r-build-system) (propagated-inputs `(("r-bsgenome" ,r-bsgenome) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicalignments" ,r-genomicalignments) ("r-genomicranges" ,r-genomicranges) ("r-mass" ,r-mass) ("r-rsamtools" ,r-rsamtools) ("r-rtracklayer" ,r-rtracklayer) ("r-summarizedexperiment" ,r-summarizedexperiment))) (home-page "https://bioconductor.org/packages/GreyListChIP") (synopsis "Greylist artefact regions based on ChIP inputs") (description "This package identifies regions of ChIP experiments with high signal in the input, that lead to spurious peaks during peak calling.") (license license:artistic2.0))) (define-public r-diffbind (package (name "r-diffbind") (version "3.2.7") (source (origin (method url-fetch) (uri (bioconductor-uri "DiffBind" version)) (sha256 (base32 "01jfxcj5c0088vvsi3pz8fs0ka6n12l2j8s1d0rpqwa1y0444x7z")))) (properties `((upstream-name . 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Also enables occupancy (overlap) analysis and plotting functions.") (license license:artistic2.0))) (define-public r-ripseeker (package (name "r-ripseeker") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RIPSeeker" version)) (sha256 (base32 "1wyv9mfrbxzklysfjcnwb8yils71janyyxa982jn0zxx4p9cl3vs")))) (properties `((upstream-name . "RIPSeeker"))) (build-system r-build-system) (propagated-inputs `(("r-s4vectors" ,r-s4vectors) ("r-iranges" ,r-iranges) ("r-genomicranges" ,r-genomicranges) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-rsamtools" ,r-rsamtools) ("r-genomicalignments" ,r-genomicalignments) ("r-rtracklayer" ,r-rtracklayer))) (home-page "https://bioconductor.org/packages/RIPSeeker") (synopsis "Identifying protein-associated transcripts from RIP-seq experiments") (description "This package infers and discriminates RIP peaks from RIP-seq alignments using two-state HMM with negative binomial emission probability. While RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.") (license license:gpl2))) (define-public r-mbkmeans (package (name "r-mbkmeans") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mbkmeans" version)) (sha256 (base32 "1k7ngpx4s50jplrsv19zzjr7izpdl9wwppb218ih5cp0ki1gcc2n")))) (build-system r-build-system) (native-inputs `(("r-knitr" ,r-knitr))) (propagated-inputs `(("r-beachmat" ,r-beachmat) ("r-benchmarkme" ,r-benchmarkme) ("r-biocparallel" ,r-biocparallel) ("r-clusterr" ,r-clusterr) ("r-delayedarray" ,r-delayedarray) ("r-matrix" ,r-matrix) ("r-rcpp" ,r-rcpp) ("r-rcpparmadillo" ,r-rcpparmadillo) ("r-rhdf5lib" ,r-rhdf5lib) ("r-s4vectors" ,r-s4vectors) ("r-singlecellexperiment" ,r-singlecellexperiment) ("r-summarizedexperiment" ,r-summarizedexperiment))) (home-page "https://bioconductor.org/packages/mbkmeans") (synopsis "Mini-batch k-means clustering for single-cell RNA-seq") (description "This package implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.") (license license:expat))) (define-public r-multtest (package (name "r-multtest") (version "2.48.0") (source (origin (method url-fetch) (uri (bioconductor-uri "multtest" version)) (sha256 (base32 "1wi15v4llgv11hpb2j9h4a35nrnawnmvbz5d5dvgy8lhqrlq8w9a")))) (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.") (license license:lgpl3))) (define-public r-graph (package (name "r-graph") (version "1.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "graph" version)) (sha256 (base32 "1i7s198d5kw4gk6nqqsd3vqaknj4493p822f2za8q95gv6x02rxa")))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics))) (home-page "https://bioconductor.org/packages/graph") (synopsis "Handle graph data structures in R") (description "This package implements some simple graph handling capabilities for R.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-ggm (package (name "r-ggm") (version "2.5") (source (origin (method url-fetch) (uri (cran-uri "ggm" version)) (sha256 (base32 "11wc6k2kj2ydy0dyks5mbvbhxm1r43id87anl1jg6dn0yv4m78di")))) (properties `((upstream-name . "ggm"))) (build-system r-build-system) (propagated-inputs `(("r-graph" ,r-graph) ("r-igraph" ,r-igraph))) (home-page "https://cran.r-project.org/package=ggm") (synopsis "Functions for graphical Markov models") (description "This package provides functions and datasets for maximum likelihood fitting of some classes of graphical Markov models.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on a Bioconductor package, r-graph. (define-public r-perfmeas (package (name "r-perfmeas") (version "1.2.1") (source (origin (method url-fetch) (uri (cran-uri "PerfMeas" version)) (sha256 (base32 "1x7ancmb41zd1js24rx94plgbssyc71z2bvpic6mg34xjkwdjw93")))) (properties `((upstream-name . "PerfMeas"))) (build-system r-build-system) (propagated-inputs `(("r-graph" ,r-graph) ("r-limma" ,r-limma) ("r-rbgl" ,r-rbgl))) (home-page "https://cran.r-project.org/web/packages/PerfMeas/") (synopsis "Performance measures for ranking and classification tasks") (description "This package implements different performance measures for classification and ranking tasks. @dfn{Area under curve} (AUC), precision at a given recall, F-score for single and multiple classes are available.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-codedepends (package (name "r-codedepends") (version "0.6.5") (source (origin (method url-fetch) (uri (cran-uri "CodeDepends" version)) (sha256 (base32 "0l7kiv3awx50glf5cs841b4zzsff1ml90f0zr868ygvwsr4ps1hq")))) (properties `((upstream-name . "CodeDepends"))) (build-system r-build-system) (propagated-inputs `(("r-codetools" ,r-codetools) ("r-graph" ,r-graph) ("r-xml" ,r-xml))) (home-page "https://cran.r-project.org/web/packages/CodeDepends") (synopsis "Analysis of R code for reproducible research and code comprehension") (description "This package provides tools for analyzing R expressions or blocks of code and determining the dependencies between them. It focuses on R scripts, but can be used on the bodies of functions. There are many facilities including the ability to summarize or get a high-level view of code, determining dependencies between variables, code improvement suggestions.") ;; Any version of the GPL (license (list license:gpl2+ license:gpl3+)))) (define-public r-chippeakanno (package (name "r-chippeakanno") (version "3.26.4") (source (origin (method url-fetch) (uri (bioconductor-uri "ChIPpeakAnno" version)) (sha256 (base32 "1iqzm7pifl9zrw3s06i6h85n1p01pd06vh1a93izyfhgybxn262d")))) (properties `((upstream-name . "ChIPpeakAnno"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-biocgenerics" ,r-biocgenerics) ("r-biomart" ,r-biomart) ("r-biostrings" ,r-biostrings) ("r-dbi" ,r-dbi) ("r-dplyr" ,r-dplyr) ("r-ensembldb" ,r-ensembldb) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicalignments" ,r-genomicalignments) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-graph" ,r-graph) ("r-interactionset" ,r-interactionset) ("r-iranges" ,r-iranges) ("r-keggrest" ,r-keggrest) ("r-matrixstats" ,r-matrixstats) ("r-multtest" ,r-multtest) ("r-rbgl" ,r-rbgl) ("r-regioner" ,r-regioner) ("r-rsamtools" ,r-rsamtools) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-venndiagram" ,r-venndiagram))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/ChIPpeakAnno") (synopsis "Peaks annotation from ChIP-seq and ChIP-chip experiments") (description "The package includes functions to retrieve the sequences around the peak, obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or custom features such as most conserved elements and other transcription factor binding sites supplied by users. Starting 2.0.5, new functions have been added for finding the peaks with bi-directional promoters with summary statistics (peaksNearBDP), for summarizing the occurrence of motifs in peaks (summarizePatternInPeaks) and for adding other IDs to annotated peaks or enrichedGO (addGeneIDs).") (license license:gpl2+))) (define-public r-matrixgenerics (package (name "r-matrixgenerics") (version "1.4.3") (source (origin (method url-fetch) (uri (bioconductor-uri "MatrixGenerics" version)) (sha256 (base32 "1yir3rwhz5vf0pdn3fpvlc57c75k98gvv8gapajbvymz3lyghijv")))) (properties `((upstream-name . "MatrixGenerics"))) (build-system r-build-system) (propagated-inputs `(("r-matrixstats" ,r-matrixstats))) (home-page "https://bioconductor.org/packages/MatrixGenerics") (synopsis "S4 generic summary statistic functions for matrix-like objects") (description "This package provides S4 generic functions modeled after the @code{matrixStats} API for alternative matrix implementations. Packages with alternative matrix implementation can depend on this package and implement the generic functions that are defined here for a useful set of row and column summary statistics. Other package developers can import this package and handle a different matrix implementations without worrying about incompatibilities.") (license license:artistic2.0))) (define-public r-marray (package (name "r-marray") (version "1.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "marray" version)) (sha256 (base32 "0wpmrhqpyv27h1hn31hzz21r74r7yqx79ljv8i8gn6ix8lf5ca56")))) (build-system r-build-system) (propagated-inputs `(("r-limma" ,r-limma))) (home-page "https://bioconductor.org/packages/marray") (synopsis "Exploratory analysis for two-color spotted microarray data") (description "This package contains class definitions for two-color spotted microarray data. It also includes functions for data input, diagnostic plots, normalization and quality checking.") (license license:lgpl2.0+))) (define-public r-cghbase (package (name "r-cghbase") (version "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CGHbase" version)) (sha256 (base32 "1p87k4vw981k97d9bckmprrfg55jwd91658rgxzjj8hnschf28a4")))) (properties `((upstream-name . "CGHbase"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-marray" ,r-marray))) (home-page "https://bioconductor.org/packages/CGHbase") (synopsis "Base functions and classes for arrayCGH data analysis") (description "This package contains functions and classes that are needed by the @code{arrayCGH} packages.") (license license:gpl2+))) (define-public r-cghcall (package (name "r-cghcall") (version "2.54.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CGHcall" version)) (sha256 (base32 "1zik04y2q0anzy85l0b4ryzkxpfx2fnmpwp5s7akyk1jfl2r8gw7")))) (properties `((upstream-name . 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(license license:gpl2+))) (define-public r-bayseq (package (name "r-bayseq") (version "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "baySeq" version)) (sha256 (base32 "0hyc0sl2nf18bz0jxbzim0v41zwh2rnnr7l3p6zkk9wnw5gn7bbc")))) (properties `((upstream-name . "baySeq"))) (build-system r-build-system) (propagated-inputs `(("r-abind" ,r-abind) ("r-edger" ,r-edger) ("r-genomicranges" ,r-genomicranges))) (home-page "https://bioconductor.org/packages/baySeq/") (synopsis "Bayesian analysis of differential expression patterns in count data") (description "This package identifies differential expression in high-throughput count data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.") (license license:gpl3))) (define-public r-chipcomp (package (name "r-chipcomp") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ChIPComp" version)) (sha256 (base32 "1kfxjh1mynrgqsy2q6byf03cbymqc8w7l7672iyd0wj5qzlif4h5")))) (properties `((upstream-name . "ChIPComp"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-bsgenome-hsapiens-ucsc-hg19" ,r-bsgenome-hsapiens-ucsc-hg19) ("r-bsgenome-mmusculus-ucsc-mm9" ,r-bsgenome-mmusculus-ucsc-mm9) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-limma" ,r-limma) ("r-rsamtools" ,r-rsamtools) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors))) (home-page "https://bioconductor.org/packages/ChIPComp") (synopsis "Quantitative comparison of multiple ChIP-seq datasets") (description "ChIPComp implements a statistical method for quantitative comparison of multiple ChIP-seq datasets. It detects differentially bound sharp binding sites across multiple conditions considering matching control in ChIP-seq datasets.") ;; Any version of the GPL. (license license:gpl3+))) (define-public r-riboprofiling (package (name "r-riboprofiling") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RiboProfiling" version)) (sha256 (base32 "1jmd8yrv7p7hn4gdibg3svmhqxjyrnfp7cgsqg8zv862lgd75zsl")))) (properties `((upstream-name . 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(license license:gpl3))) (define-public r-riboseqr (package (name "r-riboseqr") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "riboSeqR" version)) (sha256 (base32 "1m5w2j35wr0lzwir4s58z757vrcsj5mglsqrkvs241k0hlmn06qa")))) (properties `((upstream-name . "riboSeqR"))) (build-system r-build-system) (propagated-inputs `(("r-abind" ,r-abind) ("r-bayseq" ,r-bayseq) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-rsamtools" ,r-rsamtools) ("r-seqlogo" ,r-seqlogo))) (home-page "https://bioconductor.org/packages/riboSeqR/") (synopsis "Analysis of sequencing data from ribosome profiling experiments") (description "This package provides plotting functions, frameshift detection and parsing of genetic sequencing data from ribosome profiling experiments.") (license license:gpl3))) (define-public r-interactionset (package (name "r-interactionset") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "InteractionSet" version)) (sha256 (base32 "034xidjmn67n1471fnpdmz7gjm6p05cj8sp9nssc3gxdzn54a6xb")))) (properties `((upstream-name . 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(license license:gpl3))) (define-public r-genomicinteractions (package (name "r-genomicinteractions") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomicInteractions" version)) (sha256 (base32 "0zjl7rp5fk14kqsx0bkbpq6hqahbkiyvwa9aggp4kfb8hnmz9qal")))) (properties `((upstream-name . 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It mimics many R base graphics functions coupling them with a coordinate change function automatically mapping the chromosome and data coordinates into the plot coordinates.") (license license:artistic2.0))) (define-public r-lpsymphony (package (name "r-lpsymphony") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "lpsymphony" version)) (sha256 (base32 "0aw4b3p5z8ys7zlwy8s3bsqk03xwx42311yxr7q14w3f7sn3shzn")))) (build-system r-build-system) (inputs `(("zlib" ,zlib))) (native-inputs `(("pkg-config" ,pkg-config) ("r-knitr" ,r-knitr))) (home-page "https://r-forge.r-project.org/projects/rsymphony") (synopsis "Symphony integer linear programming solver in R") (description "This package was derived from Rsymphony. The package provides an R interface to SYMPHONY, a linear programming solver written in C++. 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(license license:artistic2.0))) (define-public r-icobra (package (name "r-icobra") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "iCOBRA" version)) (sha256 (base32 "190rkx3sivj68in36hhin5v535yd6fvlvm7l90w1bl38zpb7p6jn")))) (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. It also contains a Shiny application for interactive exploration of results.") (license license:gpl2+))) (define-public r-residualmatrix (package (name "r-residualmatrix") (version "1.2.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ResidualMatrix" version)) (sha256 (base32 "0p7va19aw0j6anx7ck879kbi5cn7dy712h5ia94adr38ssismv1v")))) (properties `((upstream-name . "ResidualMatrix"))) (build-system r-build-system) (propagated-inputs `(("r-delayedarray" ,r-delayedarray) ("r-matrix" ,r-matrix) ("r-s4vectors" ,r-s4vectors))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/LTLA/ResidualMatrix") (synopsis "Create a DelayedMatrix of regression residuals") (description "This package implements tools for delayed computation of a matrix of residuals after fitting a linear model to each column of an input matrix. It also supports partial computation of residuals where selected factors are to be preserved in the output matrix. 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This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression values. Functions are also provided to perform global rescaling to remove differences in depth between batches, and to perform a principal components analysis that is robust to differences in the numbers of cells across batches.") (license license:gpl3))) (define-public r-mast (package (name "r-mast") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MAST" version)) (sha256 (base32 "1gkpagam5rap36viyr3n4psa658x9vckrxap1h67jasiiyrcfz2d")))) (properties `((upstream-name . 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(license license:gpl2+))) (define-public r-monocle (package (name "r-monocle") (version "2.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "monocle" version)) (sha256 (base32 "05j1vc51f39xalggdq27y7218gkr3zq7fh7jhzsb4jj7fpn837ry")))) (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:gpl3+)))) (define-public r-monocle3 (package (name "r-monocle3") (version "1.0.0") (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/cole-trapnell-lab/monocle3") (commit version))) (file-name (git-file-name name version)) (sha256 (base32 "16vpvlbms8fdvpfwzcig0rkg2mxnsq1h80d2l7q3953wm91qc9x4")))) (build-system r-build-system) (propagated-inputs `(("r-assertthat" ,r-assertthat) ("r-batchelor" ,r-batchelor) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-delayedmatrixstats" ,r-delayedmatrixstats) ("r-dplyr" ,r-dplyr) ("r-ggplot2" ,r-ggplot2) ("r-ggrepel" ,r-ggrepel) ("r-grr" ,r-grr) ("r-htmlwidgets" ,r-htmlwidgets) ("r-igraph" ,r-igraph) ("r-irlba" ,r-irlba) ("r-leidenbase" ,r-leidenbase) ("r-limma" ,r-limma) ("r-lmtest" ,r-lmtest) ("r-mass" ,r-mass) ("r-matrix" ,r-matrix) ("r-matrix-utils" ,r-matrix-utils) ("r-pbapply" ,r-pbapply) ("r-pbmcapply" ,r-pbmcapply) ("r-pheatmap" ,r-pheatmap) ("r-plotly" ,r-plotly) ("r-pryr" ,r-pryr) ("r-proxy" ,r-proxy) ("r-pscl" ,r-pscl) ("r-purrr" ,r-purrr) ("r-rann" ,r-rann) ("r-rcpp" ,r-rcpp) ("r-rcppparallel" ,r-rcppparallel) ("r-reshape2" ,r-reshape2) ("r-reticulate" ,r-reticulate) ("r-rhpcblasctl" ,r-rhpcblasctl) ("r-rsample" ,r-rsample) ("r-rtsne" ,r-rtsne) ("r-shiny" ,r-shiny) ("r-slam" ,r-slam) ("r-spdep" ,r-spdep) ("r-speedglm" ,r-speedglm) ("r-stringr" ,r-stringr) ("r-singlecellexperiment" ,r-singlecellexperiment) ("r-tibble" ,r-tibble) ("r-tidyr" ,r-tidyr) ("r-uwot" ,r-uwot) ("r-viridis" ,r-viridis))) (home-page "https://github.com/cole-trapnell-lab/monocle3") (synopsis "Analysis toolkit for single-cell RNA-Seq data") (description "Monocle 3 is an analysis toolkit for single-cell RNA-Seq experiments.") (license license:expat))) (define-public r-noiseq (package (name "r-noiseq") (version "2.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "NOISeq" version)) (sha256 (base32 "18d51dv2ygsm7kkwal341f1wrwrazyns0045j00vld367kic8jiz")))) (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 "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scDD" version)) (sha256 (base32 "1dw9m3m99apmbs32461c6lnmy81n5hxbhz3p8jk419gajkh4v1ji")))) (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. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.") 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(license license:artistic2.0))) (define-public r-methylumi (package (name "r-methylumi") (version "2.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "methylumi" version)) (sha256 (base32 "1941rc524ssx8gwhmwk40mgfrhddfs6hgldvs7bi22r29gm4y7qj")))) (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 "2.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "lumi" version)) (sha256 (base32 "0qjdxjdzfnnxcm07bf51v38388s5qf1i03l1sdb9jf3gxdh8yh02")))) (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 "2.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Linnorm" version)) (sha256 (base32 "035hrniycqadmkwg8rmzw8szv0amhy31390izy91rfrld31v2yy7")))) (properties `((upstream-name . "Linnorm"))) (build-system r-build-system) (propagated-inputs `(("r-amap" ,r-amap) ("r-apcluster" ,r-apcluster) ("r-ellipse" ,r-ellipse) ("r-fastcluster" ,r-fastcluster) ("r-fpc" ,r-fpc) ("r-ggdendro" ,r-ggdendro) ("r-ggplot2" ,r-ggplot2) ("r-gmodels" ,r-gmodels) ("r-igraph" ,r-igraph) ("r-limma" ,r-limma) ("r-mass" ,r-mass) ("r-mclust" ,r-mclust) ("r-rcpp" ,r-rcpp) ("r-rcpparmadillo" ,r-rcpparmadillo) ("r-rtsne" ,r-rtsne) ("r-statmod" ,r-statmod) ("r-vegan" ,r-vegan) ("r-zoo" ,r-zoo))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "http://www.jjwanglab.org/Linnorm/") (synopsis "Linear model and normality based transformation method") (description "Linnorm is an R package for the analysis of RNA-seq, scRNA-seq, ChIP-seq count data or any large scale count data. It transforms such datasets for parametric tests. In addition to the transformtion function (@code{Linnorm}), the following pipelines are implemented: @enumerate @item Library size/batch effect normalization (@code{Linnorm.Norm}) @item Cell subpopluation analysis and visualization using t-SNE or PCA K-means clustering or hierarchical clustering (@code{Linnorm.tSNE}, @code{Linnorm.PCA}, @code{Linnorm.HClust}) @item Differential expression analysis or differential peak detection using limma (@code{Linnorm.limma}) @item Highly variable gene discovery and visualization (@code{Linnorm.HVar}) @item Gene correlation network analysis and visualization (@code{Linnorm.Cor}) @item Stable gene selection for scRNA-seq data; for users without or who do not want to rely on spike-in genes (@code{Linnorm.SGenes}) @item Data imputation (@code{Linnorm.DataImput}). @end enumerate Linnorm can work with raw count, CPM, RPKM, FPKM and TPM. Additionally, the @code{RnaXSim} function is included for simulating RNA-seq data for the evaluation of DEG analysis methods.") (license license:expat))) (define-public r-ioniser (package (name "r-ioniser") (version "2.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IONiseR" version)) (sha256 (base32 "0fknlwdfd49v09zspg0337b0zzc8hqza3563yrw51viw3g35d6q3")))) (properties `((upstream-name . "IONiseR"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-biocparallel" ,r-biocparallel) ("r-biostrings" ,r-biostrings) ("r-bit64" ,r-bit64) ("r-dplyr" ,r-dplyr) ("r-ggplot2" ,r-ggplot2) ("r-magrittr" ,r-magrittr) ("r-rhdf5" ,r-rhdf5) ("r-shortread" ,r-shortread) ("r-stringr" ,r-stringr) ("r-tibble" ,r-tibble) ("r-tidyr" ,r-tidyr) ("r-xvector" ,r-xvector))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/IONiseR/") (synopsis "Quality assessment tools for Oxford Nanopore MinION data") (description "IONiseR provides tools for the quality assessment of Oxford Nanopore MinION data. It extracts summary statistics from a set of fast5 files and can be used either before or after base calling. In addition to standard summaries of the read-types produced, it provides a number of plots for visualising metrics relative to experiment run time or spatially over the surface of a flowcell.") (license license:expat))) ;; This is a CRAN package, but it depends on multtest from Bioconductor. (define-public r-mutoss (package (name "r-mutoss") (version "0.1-12") (source (origin (method url-fetch) (uri (cran-uri "mutoss" version)) (sha256 (base32 "1yk7p7pb2xm38d3j19ysgwmix48lvimbhkhjjwk5jmr1a0ysx298")))) (properties `((upstream-name . "mutoss"))) (build-system r-build-system) (propagated-inputs `(("r-multcomp" ,r-multcomp) ("r-multtest" ,r-multtest) ("r-mvtnorm" ,r-mvtnorm) ("r-plotrix" ,r-plotrix))) (home-page "https://github.com/kornl/mutoss/") (synopsis "Unified multiple testing procedures") (description "This package is designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying mutossGUI package.") ;; Any version of the GPL. (license (list license:gpl2+ license:gpl3+)))) ;; This is a CRAN package, but it depends on mutoss, which depends on multtest ;; from Bioconductor, so we put it here. (define-public r-metap (package (name "r-metap") (version "1.3") (source (origin (method url-fetch) (uri (cran-uri "metap" version)) (sha256 (base32 "1jmmmmjiklaxfl604hwqil193ydaghvd5jv8xsr4bx3pzn5i9kvz")))) (build-system r-build-system) (propagated-inputs `(("r-lattice" ,r-lattice) ("r-mutoss" ,r-mutoss) ("r-rdpack" ,r-rdpack) ("r-tfisher" ,r-tfisher))) (home-page "http://www.dewey.myzen.co.uk/meta/meta.html") (synopsis "Meta-analysis of significance values") (description "The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and a routine for graphical display.") (license license:gpl2))) (define-public r-tradeseq (package (name "r-tradeseq") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tradeSeq" version)) (sha256 (base32 "0fgmb309pvqf3chdhqgbd4lzhahcj5g71sica33nzn98qhipldx7")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocparallel" ,r-biocparallel) ("r-edger" ,r-edger) ("r-ggplot2" ,r-ggplot2) ("r-igraph" ,r-igraph) ("r-magrittr" ,r-magrittr) ("r-matrix" ,r-matrix) ("r-matrixstats" ,r-matrixstats) ("r-mgcv" ,r-mgcv) ("r-monocle" ,r-monocle) ("r-pbapply" ,r-pbapply) ("r-princurve" ,r-princurve) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-s4vectors" ,r-s4vectors) ("r-singlecellexperiment" ,r-singlecellexperiment) ("r-slingshot" ,r-slingshot) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-tibble" ,r-tibble) ("r-viridis" ,r-viridis))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://statomics.github.io/tradeSeq/index.html") (synopsis "Trajectory-based differential expression analysis") (description "This package provides a flexible method for fitting regression models that can be used to find genes that are differentially expressed along one or multiple lineages in a trajectory. Based on the fitted models, it uses a variety of tests suited to answer different questions of interest, e.g. the discovery of genes for which expression is associated with pseudotime, or which are differentially expressed (in a specific region) along the trajectory. It fits a negative binomial generalized additive model (GAM) for each gene, and performs inference on the parameters of the GAM.") (license license:expat))) (define-public r-triform (package (name "r-triform") (version "1.29.0") (source (origin (method url-fetch) (uri (bioconductor-uri "triform" version)) (sha256 (base32 "089b7f6dwpi9abj0ncswbi4s30k45996zb99sh43avw6jcb6qj60")))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-iranges" ,r-iranges) ("r-yaml" ,r-yaml))) (home-page "https://bioconductor.org/packages/triform/") (synopsis "Find enriched regions in transcription factor ChIP-sequencing data") (description "The Triform algorithm uses model-free statistics to identify peak-like distributions of TF ChIP sequencing reads, taking advantage of an improved peak definition in combination with known profile characteristics.") (license license:gpl2))) (define-public r-varianttools (package (name "r-varianttools") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "VariantTools" version)) (sha256 (base32 "1gpzrln2clfrja8rzxhsis6bi1xqglh3h2lhvqlnrx4lqxhbkv9c")))) (properties `((upstream-name . 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The user is expected to have already aligned the reads with a separate tool, e.g., GSNAP via gmapR.") (license license:artistic2.0))) (define-public r-heatplus (package (name "r-heatplus") (version "3.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Heatplus" version)) (sha256 (base32 "0xwg3sxmihg3p6v3nxgrqy0nrqxi6razg3b3rjh2gcb2vv8gcqng")))) (properties `((upstream-name . "Heatplus"))) (build-system r-build-system) (propagated-inputs `(("r-rcolorbrewer" ,r-rcolorbrewer))) (home-page "https://github.com/alexploner/Heatplus") (synopsis "Heatmaps with row and/or column covariates and colored clusters") (description "This package provides tools to display a rectangular heatmap (intensity plot) of a data matrix. By default, both samples (columns) and features (row) of the matrix are sorted according to a hierarchical clustering, and the corresponding dendrogram is plotted. Optionally, panels with additional information about samples and features can be added to the plot.") (license license:gpl2+))) (define-public r-gosemsim (package (name "r-gosemsim") (version "2.18.1") (source (origin (method url-fetch) (uri (bioconductor-uri "GOSemSim" version)) (sha256 (base32 "00dbgkiv9x7g2i0anzcxpycwqqqry0y7jl3ad93lhvi31qnqq1sm")))) (properties `((upstream-name . "GOSemSim"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-go-db" ,r-go-db) ("r-rcpp" ,r-rcpp))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://guangchuangyu.github.io/software/GOSemSim") (synopsis "GO-terms semantic similarity measures") (description "The semantic comparisons of @dfn{Gene Ontology} (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. GOSemSim is an R package for semantic similarity computation among GO terms, sets of GO terms, gene products and gene clusters.") (license license:artistic2.0))) (define-public r-anota (package (name "r-anota") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "anota" version)) (sha256 (base32 "039bmcv5l44gszb6xapbihp3mfqdaaa8mfc05y702p78i7x93g5y")))) (build-system r-build-system) (propagated-inputs `(("r-multtest" ,r-multtest) ("r-qvalue" ,r-qvalue))) (home-page "https://bioconductor.org/packages/anota/") (synopsis "Analysis of translational activity") (description "Genome wide studies of translational control is emerging as a tool to study various biological conditions. The output from such analysis is both the mRNA level (e.g. cytosolic mRNA level) and the level of mRNA actively involved in translation (the actively translating mRNA level) for each mRNA. The standard analysis of such data strives towards identifying differential translational between two or more sample classes - i.e. differences in actively translated mRNA levels that are independent of underlying differences in cytosolic mRNA levels. This package allows for such analysis using partial variances and the random variance model. As 10s of thousands of mRNAs are analyzed in parallel the library performs a number of tests to assure that the data set is suitable for such analysis.") (license license:gpl3))) (define-public r-sigpathway (package (name "r-sigpathway") (version "1.60.0") (source (origin (method url-fetch) (uri (bioconductor-uri "sigPathway" version)) (sha256 (base32 "1xz5nbw5dzyah8az7mpwj8m27fsvpi2jjhfg3n27dsv8rvdncqi8")))) (properties `((upstream-name . 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(license license:gpl2))) (define-public r-fgsea (package (name "r-fgsea") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "fgsea" version)) (sha256 (base32 "1mhdgy46nxgv7v54bk9bqfy0vgjzl1law7zy718swdd762xn6g9d")))) (build-system r-build-system) (propagated-inputs `(("r-bh" ,r-bh) ("r-biocparallel" ,r-biocparallel) ("r-data-table" ,r-data-table) ("r-fastmatch" ,r-fastmatch) ("r-ggplot2" ,r-ggplot2) ("r-gridextra" ,r-gridextra) ("r-matrix" ,r-matrix) ("r-rcpp" ,r-rcpp))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/ctlab/fgsea/") (synopsis "Fast gene set enrichment analysis") (description "The package implements an algorithm for fast gene set enrichment analysis. Using the fast algorithm makes more permutations and gets more fine grained p-values, which allows using accurate standard approaches to multiple hypothesis correction.") (license license:expat))) (define-public r-dose (package (name "r-dose") (version "3.18.2") (source (origin (method url-fetch) (uri (bioconductor-uri "DOSE" version)) (sha256 (base32 "0kp6j42mpxrpd02cjrzqmrx3rvvpi90xiy4gc5km6ny3vxbhlaqw")))) (properties `((upstream-name . "DOSE"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-biocparallel" ,r-biocparallel) ("r-do-db" ,r-do-db) ("r-fgsea" ,r-fgsea) ("r-ggplot2" ,r-ggplot2) ("r-gosemsim" ,r-gosemsim) ("r-qvalue" ,r-qvalue) ("r-reshape2" ,r-reshape2))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://guangchuangyu.github.io/software/DOSE/") (synopsis "Disease ontology semantic and enrichment analysis") (description "This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang, respectively, for measuring semantic similarities among @dfn{Disease ontology} (DO) terms and gene products. Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data.") (license license:artistic2.0))) (define-public r-enrichplot (package (name "r-enrichplot") (version "1.12.2") (source (origin (method url-fetch) (uri (bioconductor-uri "enrichplot" version)) (sha256 (base32 "194sfmcnjfi3fvvfpljg1f80f44vvvxiij336b8z1dgzki6bqa3r")))) (build-system r-build-system) (propagated-inputs `(("r-cowplot" ,r-cowplot) ("r-dose" ,r-dose) ("r-ggplot2" ,r-ggplot2) ("r-ggraph" ,r-ggraph) ("r-ggtree" ,r-ggtree) ("r-gosemsim" ,r-gosemsim) ("r-igraph" ,r-igraph) ("r-magrittr" ,r-magrittr) ("r-plyr" ,r-plyr) ("r-purrr" ,r-purrr) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-reshape2" ,r-reshape2) ("r-scatterpie" ,r-scatterpie) ("r-shadowtext" ,r-shadowtext))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/GuangchuangYu/enrichplot") (synopsis "Visualization of functional enrichment result") (description "The enrichplot package implements several visualization methods for interpreting functional enrichment results obtained from ORA or GSEA analyses. All the visualization methods are developed based on ggplot2 graphics.") (license license:artistic2.0))) (define-public r-clusterprofiler (package (name "r-clusterprofiler") (version "4.0.5") (source (origin (method url-fetch) (uri (bioconductor-uri "clusterProfiler" version)) (sha256 (base32 "1dccrl2ffhgmv3iqlmpln7z86ahpf0j9ma194fnknsgi3cd9rhrl")))) (properties `((upstream-name . 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(license license:gpl2+))) (define-public r-abaenrichment (package (name "r-abaenrichment") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ABAEnrichment" version)) (sha256 (base32 "15v5n6d3mnj9d86swkh9agfvrsd065dldaywm1adwmkhhk525wmd")))) (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 "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AnnotationFuncs" version)) (sha256 (base32 "0xsm7741zm81bi4c9hy0zaacnk8a6bahdpc6srqzrbsz0pfzdyhr")))) (properties `((upstream-name . "AnnotationFuncs"))) (build-system r-build-system) (propagated-inputs `(("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 "1.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "annotationTools" version)) (sha256 (base32 "18dd8saqx17fplvv5sbfz4p9fy7ksy3n9348rd3qlczihcrh9i3w")))) (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 "1.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AllelicImbalance" version)) (sha256 (base32 "1mn6975npncmfjlpjs3s2pgsrm32xgvnyl2vh1922l6vra97dkrc")))) (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 "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "AUCell" version)) (sha256 (base32 "0qdac3qalcki20r90k40cc8d0lfywzn9pffg9d719yvs7nrsfdjr")))) (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 "4.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "EBImage" version)) (sha256 (base32 "1z3cxxg593d66nczz5hh2hdj1d87wc0lxrzc5sn6bp43n351q8h3")))) (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 "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yamss" version)) (sha256 (base32 "1al615x778h17jqiyhiyf6djaq9iygs1hlbrna6y4xc0f2kvgxld")))) (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 "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gtrellis" version)) (sha256 (base32 "0l5271cpzjlm4m0v6xcdg2vxlbhn53x1fd59ynb9jwll93av5h1f")))) (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 "2.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SomaticSignatures" version)) (sha256 (base32 "0jr11c9hz7m49xc8pi6xrr5fhbv68vafvqpzhr0pmm51vvr1vfs9")))) (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 "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "YAPSA" version)) (sha256 (base32 "1xfkgjlm0rxz82qcaqzx95cwirxifd9dsswjg3zcqmz03v7a0gz2")))) (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-limsolve" ,r-limsolve) ("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 "2.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gcrma" version)) (sha256 (base32 "1z4abw9s2hs3csnx25nli7fpvb3rh3l0swzl0wfqp087fcs78pxi")))) (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 binding is expected.") ;; Any version of the LGPL (license license:lgpl2.1+))) (define-public r-simpleaffy (package (name "r-simpleaffy") (version "2.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "simpleaffy" version)) (sha256 (base32 "04a11dsqd5y4b39nny94acnh0qhdazjc6d1803izza4vrgmw2csb")))) (build-system r-build-system) (propagated-inputs `(("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. It makes heavy use of the @code{affy} library. It also has some basic scatter plot functions and mechanisms for generating high resolution journal figures.") (license license:gpl2+))) (define-public r-yaqcaffy (package (name "r-yaqcaffy") (version "1.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yaqcaffy" version)) (sha256 (base32 "18gphcjj15iivrahp52186bvdg07yd2dvrykfjdd4r1vyf33im96")))) (build-system r-build-system) (propagated-inputs `(("r-simpleaffy" ,r-simpleaffy))) (home-page "https://bioconductor.org/packages/yaqcaffy/") (synopsis "Affymetrix quality control and reproducibility analysis") (description "This is a package that can be used for quality control of Affymetrix GeneChip expression data and reproducibility analysis of human whole genome chips with the MAQC reference datasets.") (license license:artistic2.0))) (define-public r-quantro (package (name "r-quantro") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "quantro" version)) (sha256 (base32 "1fkma2ic448h2lrlza8ipg65gpfsz4fhlxcnjpmzhhmzp2xi2p4a")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-doparallel" ,r-doparallel) ("r-foreach" ,r-foreach) ("r-ggplot2" ,r-ggplot2) ("r-iterators" ,r-iterators) ("r-minfi" ,r-minfi) ("r-rcolorbrewer" ,r-rcolorbrewer))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/quantro/") (synopsis "Test for when to use quantile normalization") (description "This package provides a data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.") (license license:gpl3+))) (define-public r-yarn (package (name "r-yarn") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "yarn" version)) (sha256 (base32 "1x07l255x52z6cgdc2j8285shqszhr034xm5686rp6d35vah55ji")))) (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. YARN is meant to make it easier for the user in performing basic mis-annotation quality control, filtering, and condition-aware normalization. YARN leverages many Bioconductor tools and statistical techniques to account for the large heterogeneity and sparsity found in very large RNA-seq experiments.") (license license:artistic2.0))) (define-public r-roar (package (name "r-roar") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "roar" version)) (sha256 (base32 "0vp0n90rvjm8rzwkbrxa3fasb9val56bz2srz72xwsl3jzb5yk6w")))) (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.") (license license:gpl3))) (define-public r-xbseq (package (name "r-xbseq") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "XBSeq" version)) (sha256 (base32 "1dvk2jpsdynqw5071z54yd5j0ddprhc1ppk834cz9liibd72d7vz")))) (properties `((upstream-name . "XBSeq"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-deseq2" ,r-deseq2) ("r-dplyr" ,r-dplyr) ("r-ggplot2" ,r-ggplot2) ("r-locfit" ,r-locfit) ("r-magrittr" ,r-magrittr) ("r-matrixstats" ,r-matrixstats) ("r-pracma" ,r-pracma) ("r-roar" ,r-roar))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/Liuy12/XBSeq") (synopsis "Test for differential expression for RNA-seq data") (description "XBSeq is a novel algorithm for testing RNA-seq @dfn{differential expression} (DE), where a statistical model was established based on the assumption that observed signals are the convolution of true expression signals and sequencing noises. The mapped reads in non-exonic regions are considered as sequencing noises, which follows a Poisson distribution. Given measurable observed signal and background noise from RNA-seq data, true expression signals, assuming governed by the negative binomial distribution, can be delineated and thus the accurate detection of differential expressed genes.") (license license:gpl3+))) (define-public r-massspecwavelet (package (name "r-massspecwavelet") (version "1.58.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MassSpecWavelet" version)) (sha256 (base32 "1cs32sig1yvqn9xs0cvhfpmkh2lbllx7aab80sz58x03wnx8v60z")))) (properties `((upstream-name . "MassSpecWavelet"))) (build-system r-build-system) (propagated-inputs `(("r-waveslim" ,r-waveslim))) (home-page "https://bioconductor.org/packages/MassSpecWavelet/") (synopsis "Mass spectrum processing by wavelet-based algorithms") (description "The MassSpecWavelet package aims to process @dfn{Mass Spectrometry} (MS) data mainly through the use of wavelet transforms. It supports peak detection based on @dfn{Continuous Wavelet Transform} (CWT).") (license license:lgpl2.0+))) (define-public r-xcms (package (name "r-xcms") (version "3.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "xcms" version)) (sha256 (base32 "1g8k90p0sbcb3rdrbldj5bcjp2piy5ldni4jplyr78vjpmrmvqk7")))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biocparallel" ,r-biocparallel) ("r-iranges" ,r-iranges) ("r-lattice" ,r-lattice) ("r-massspecwavelet" ,r-massspecwavelet) ("r-mscoreutils" ,r-mscoreutils) ("r-msnbase" ,r-msnbase) ("r-mzr" ,r-mzr) ("r-plyr" ,r-plyr) ("r-protgenerics" ,r-protgenerics) ("r-rann" ,r-rann) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-robustbase" ,r-robustbase) ("r-s4vectors" ,r-s4vectors) ("r-summarizedexperiment" ,r-summarizedexperiment))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/xcms/") (synopsis "LC/MS and GC/MS mass spectrometry data analysis") (description "This package provides a framework for processing and visualization of chromatographically separated and single-spectra mass spectral data. It imports from AIA/ANDI NetCDF, mzXML, mzData and mzML files. It preprocesses data for high-throughput, untargeted analyte profiling.") (license license:gpl2+))) (define-public r-wrench (package (name "r-wrench") (version "1.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Wrench" version)) (sha256 (base32 "0yssmqayaryrc0asjjqxdipqdfg309llrzldx38jrfgdsza6bvs0")))) (properties `((upstream-name . "Wrench"))) (build-system r-build-system) (propagated-inputs `(("r-limma" ,r-limma) ("r-locfit" ,r-locfit) ("r-matrixstats" ,r-matrixstats))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/HCBravoLab/Wrench") (synopsis "Wrench normalization for sparse count data") (description "Wrench is a package for normalization sparse genomic count data, like that arising from 16s metagenomic surveys.") (license license:artistic2.0))) (define-public r-wiggleplotr (package (name "r-wiggleplotr") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wiggleplotr" version)) (sha256 (base32 "13f3g6fcc29k0g21mhnypm3nc6qqjw867vamvfkdzynspsfb32ga")))) (build-system r-build-system) (propagated-inputs `(("r-assertthat" ,r-assertthat) ("r-cowplot" ,r-cowplot) ("r-dplyr" ,r-dplyr) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-iranges" ,r-iranges) ("r-purrr" ,r-purrr) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/wiggleplotr/") (synopsis "Make read coverage plots from BigWig files") (description "This package provides tools to visualize read coverage from sequencing experiments together with genomic annotations (genes, transcripts, peaks). Introns of long transcripts can be rescaled to a fixed length for better visualization of exonic read coverage.") (license license:asl2.0))) (define-public r-widgettools (package (name "r-widgettools") (version "1.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "widgetTools" version)) (sha256 (base32 "186xgpgyfyi4angxhz6558lfpzvvszzlpyfr8xnbccs3gshk3db2")))) (properties `((upstream-name . "widgetTools"))) (build-system r-build-system) (home-page "https://bioconductor.org/packages/widgetTools/") (synopsis "Tools for creating interactive tcltk widgets") (description "This package contains tools to support the construction of tcltk widgets in R.") ;; Any version of the LGPL. (license license:lgpl3+))) (define-public r-webbioc (package (name "r-webbioc") (version "1.64.0") (source (origin (method url-fetch) (uri (bioconductor-uri "webbioc" version)) (sha256 (base32 "1mpdw477j78s2nvlf2lzm6mdjcpamyyazjn060h9q3apawn6zajx")))) (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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(("^CC =.*") (which "gcc")) (("^CPP =.*") (which "g++"))) #t))))) (propagated-inputs `(("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-sgseq" ,r-sgseq))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/fmicompbio/Rhisat2") (synopsis "R Wrapper for HISAT2 sequence aligner") (description "This package provides an R interface to the HISAT2 spliced short-read aligner by Kim et al. (2015). The package contains wrapper functions to create a genome index and to perform the read alignment to the generated index.") (license license:gpl3))) (define-public r-quasr (package (name "r-quasr") (version "1.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "QuasR" version)) (sha256 (base32 "1635ff11ahzjrh3cdcxrq5bgd100n444k7mc0maz0jx21vj8qqb1")))) (properties `((upstream-name . 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It covers a complete workflow starting from raw sequence reads, over creation of alignments and quality control plots, to the quantification of genomic regions of interest.") (license license:gpl2))) (define-public r-rqc (package (name "r-rqc") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rqc" version)) (sha256 (base32 "02hwj2vd003x0zf273ndnwh7kxy6wc3sz14d3kryp2w2aqjj826f")))) (properties `((upstream-name . 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(license license:gpl2+))) (define-public r-birewire (package (name "r-birewire") (version "3.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BiRewire" version)) (sha256 (base32 "0p6mr67mkw54490sv4dvkyh8l0xkpjfbqy532vi8l41i40qg3gry")))) (properties `((upstream-name . "BiRewire"))) (build-system r-build-system) (propagated-inputs `(("r-igraph" ,r-igraph) ("r-matrix" ,r-matrix) ("r-slam" ,r-slam) ("r-tsne" ,r-tsne))) (home-page "https://bioconductor.org/packages/release/bioc/html/BiRewire.html") (synopsis "Tools for randomization of bipartite graphs") (description "This package provides functions for bipartite network rewiring through N consecutive switching steps and for the computation of the minimal number of switching steps to be performed in order to maximise the dissimilarity with respect to the original network. It includes functions for the analysis of the introduced randomness across the switching steps and several other routines to analyse the resulting networks and their natural projections.") (license license:gpl3))) (define-public r-birta (package (name "r-birta") (version "1.31.0") (source (origin (method url-fetch) (uri (bioconductor-uri "birta" version)) (sha256 (base32 "00a1kcfmcgdbx6wpnhk45wm45bynhry5m93l9hm75j2rwyc4lnca")))) (build-system r-build-system) (propagated-inputs `(("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 "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MultiDataSet" version)) (sha256 (base32 "1hyk40xgmy50rqxwdvc64d3pgz5vsg8vmlj5cp5m0n5m0adxcdfj")))) (properties `((upstream-name . 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(license license:expat))) (define-public r-ropls (package (name "r-ropls") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ropls" version)) (sha256 (base32 "1j99kdywyljqzdcns5ysh590w4w8iiwzpddpfk5c8d4whax7vk5b")))) (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 "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biosigner" version)) (sha256 (base32 "159fbkymn92li7dinsm56nsacjp8wnhsljv7airgs9m82p8wd5sl")))) (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.") (license license:cecill))) (define-public r-annotatr (package (name "r-annotatr") (version "1.18.1") (source (origin (method url-fetch) (uri (bioconductor-uri "annotatr" version)) (sha256 (base32 "1ls1qdfppcxysggi3bghrnspb5a3s40pm2mj4x0whc7c40cf90mg")))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-annotationhub" ,r-annotationhub) ("r-dplyr" ,r-dplyr) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-iranges" ,r-iranges) ("r-readr" ,r-readr) ("r-regioner" ,r-regioner) ("r-reshape2" ,r-reshape2) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/annotatr/") (synopsis "Annotation of genomic regions to genomic annotations") (description "Given a set of genomic sites/regions (e.g. ChIP-seq peaks, CpGs, differentially methylated CpGs or regions, SNPs, etc.) it is often of interest to investigate the intersecting genomic annotations. Such annotations include those relating to gene models (promoters, 5'UTRs, exons, introns, and 3'UTRs), CpGs (CpG islands, CpG shores, CpG shelves), or regulatory sequences such as enhancers. The annotatr package provides an easy way to summarize and visualize the intersection of genomic sites/regions with genomic annotations.") (license license:gpl3))) (define-public r-rsubread (package (name "r-rsubread") (version "2.6.4") (source (origin (method url-fetch) (uri (bioconductor-uri "Rsubread" version)) (sha256 (base32 "043m4512q73x6q529hqfgrap0fq5anvny4va085nafia06b805pi")))) (properties `((upstream-name . "Rsubread"))) (build-system r-build-system) (inputs `(("zlib" ,zlib))) (propagated-inputs `(("r-matrix" ,r-matrix))) (home-page "https://bioconductor.org/packages/Rsubread/") (synopsis "Subread sequence alignment and counting for R") (description "This package provides tools for alignment, quantification and analysis of second and third generation sequencing data. 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(license license:artistic2.0))) (define-public r-flowcore (package (name "r-flowcore") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowCore" version)) (sha256 (base32 "13xpbkxi53rxmhvpdiy6bydmhicmxd2gi96d9c1qx4lkss2f14nc")))) (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) ("r-s4vectors" ,r-s4vectors))) (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 "1.52.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowMeans" version)) (sha256 (base32 "1awskkq48qhv4v9glxgfqi0kgwqd62fbj641k4vvxfcwsf2c7bfg")))) (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 "2.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ncdfFlow" version)) (sha256 (base32 "1lm88qnfv6rnnr7wmgbvwyj272imjjjn7h3agxqqzsbmn8vyrnf0")))) (properties `((upstream-name . "ncdfFlow"))) (build-system r-build-system) (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 "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ggcyto" version)) (sha256 (base32 "0jd6m84m4znnpix4bcgdby7mnflsn206f5x2vw9n8rxnwzx77wpg")))) (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 "1.56.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowViz" version)) (sha256 (base32 "17x04xwyw2pp5zkhgvrmxkb8cbrv9wql6xhjsfpq0n6yd9dxqc1v")))) (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 "3.30.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowClust" version)) (sha256 (base32 "03xsmprrkxwkaksjlaxwp54mqfb3zlg6dbqhp87w78fwscisv76b")))) (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 "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RProtoBufLib" version)) (sha256 (base32 "1hyds97ay4mn7nl830yh9v8mlasgsljsx5wsrhz2zsmbbyx6wbnb")))) (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-3.13.0.tar.gz"))))))) (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 "4.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowWorkspace" version)) (sha256 (base32 "1a9qb2dcvwgb3z0vdbbzn1rzy77d3da72kirs272344hdx9b2cx9")))) (properties `((upstream-name . 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This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the @code{flowCore} functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.") (license license:artistic2.0))) (define-public r-flowstats (package (name "r-flowstats") (version "4.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowStats" version)) (sha256 (base32 "1yr5m7qmhmm52c70z3d0zy4zgf0hja7r2ig9yljv5w86bzm962x6")))) (properties `((upstream-name . "flowStats"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-cluster" ,r-cluster) ("r-fda" ,r-fda) ("r-flowcore" ,r-flowcore) ("r-flowviz" ,r-flowviz) ("r-flowworkspace" ,r-flowworkspace) ("r-kernsmooth" ,r-kernsmooth) ("r-ks" ,r-ks) ("r-lattice" ,r-lattice) ("r-mass" ,r-mass) ("r-ncdfflow" ,r-ncdfflow) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-rrcov" ,r-rrcov))) (home-page "http://www.github.com/RGLab/flowStats") (synopsis "Statistical methods for the analysis of flow cytometry data") (description "This package provides methods and functionality to analyze flow data that is beyond the basic infrastructure provided by the @code{flowCore} package.") (license license:artistic2.0))) (define-public r-opencyto (package (name "r-opencyto") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "openCyto" version)) (sha256 (base32 "1par1d5pk1rjg15q7i5z5wqma7xg6fycb826a823wk8wr52a885x")))) (properties `((upstream-name . "openCyto"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-clue" ,r-clue) ("r-data-table" ,r-data-table) ("r-flowclust" ,r-flowclust) ("r-flowcore" ,r-flowcore) ("r-flowstats" ,r-flowstats) ("r-flowviz" ,r-flowviz) ("r-flowworkspace" ,r-flowworkspace) ("r-graph" ,r-graph) ("r-gtools" ,r-gtools) ("r-ks" ,r-ks) ("r-lattice" ,r-lattice) ("r-mass" ,r-mass) ("r-ncdfflow" ,r-ncdfflow) ("r-plyr" ,r-plyr) ("r-r-utils" ,r-r-utils) ("r-rbgl" ,r-rbgl) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-rcpp" ,r-rcpp) ("r-rrcov" ,r-rrcov))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/openCyto") (synopsis "Hierarchical gating pipeline for flow cytometry data") (description "This package is designed to facilitate the automated gating methods in a sequential way to mimic the manual gating strategy.") (license license:artistic2.0))) (define-public r-cytoml (package (name "r-cytoml") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CytoML" version)) (sha256 (base32 "0ixy7mmnipk8wy61wz6qy7jfbc5zhs6p5iqaii8hdprjnb841ri7")))) (properties `((upstream-name . "CytoML"))) (build-system r-build-system) (inputs `(("libxml2" ,libxml2) ("zlib" ,zlib))) (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-xml2" ,r-xml2) ("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 "2.0.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FlowSOM" version)) (sha256 (base32 "18h7p7g3w9imyd1c93jllgp4kd74z96cs85wcqfhmd26nx18hl82")))) (properties `((upstream-name . "FlowSOM"))) (build-system r-build-system) (propagated-inputs `(("r-biocgenerics" ,r-biocgenerics) ("r-colorramps" ,r-colorramps) ("r-consensusclusterplus" ,r-consensusclusterplus) ("r-cytoml" ,r-cytoml) ("r-dplyr" ,r-dplyr) ("r-flowcore" ,r-flowcore) ("r-flowworkspace" ,r-flowworkspace) ("r-ggforce" ,r-ggforce) ("r-ggnewscale" ,r-ggnewscale) ("r-ggplot2" ,r-ggplot2) ("r-ggpointdensity" ,r-ggpointdensity) ("r-ggpubr" ,r-ggpubr) ("r-ggrepel" ,r-ggrepel) ("r-igraph" ,r-igraph) ("r-magrittr" ,r-magrittr) ("r-pheatmap" ,r-pheatmap) ("r-rcolorbrewer" ,r-rcolorbrewer) ("r-rlang" ,r-rlang) ("r-rtsne" ,r-rtsne) ("r-scattermore" ,r-scattermore) ("r-tidyr" ,r-tidyr) ("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 "6.16.3") (source (origin (method url-fetch) (uri (bioconductor-uri "mixOmics" version)) (sha256 (base32 "1x6dbw4q6p9vngm256fr96r9fjxk5nik5ivkhbl5a9zqyq8wagpa")))) (properties `((upstream-name . "mixOmics"))) (build-system r-build-system) (propagated-inputs `(("r-biocparallel" ,r-biocparallel) ("r-corpcor" ,r-corpcor) ("r-dplyr" ,r-dplyr) ("r-ellipse" ,r-ellipse) ("r-ggrepel" ,r-ggrepel) ("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 ;Source/Weave error (name "r-depecher") (version "1.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DepecheR" version)) (sha256 (base32 "04vxc43p3kpsx0vksk2nwmy9p56h35z2mc8j9p2wm29zaz1y8j3p")))) (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-gmodels" ,r-gmodels) ("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 "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RcisTarget" version)) (sha256 (base32 "1yh0l11vnslgr6zsbpgc8mc4aa32zy34f5yrz98hkcdl53iw5y7f")))) (properties `((upstream-name . "RcisTarget"))) (build-system r-build-system) (propagated-inputs `(("r-arrow" ,r-arrow) ("r-aucell" ,r-aucell) ("r-biocgenerics" ,r-biocgenerics) ("r-data-table" ,r-data-table) ("r-dplyr" ,r-dplyr) ("r-feather" ,r-feather) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-gseabase" ,r-gseabase) ("r-r-utils" ,r-r-utils) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-tibble" ,r-tibble))) (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-chicago (package (name "r-chicago") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Chicago" version)) (sha256 (base32 "0dkwy6pfvzd7g4qmhjl24ypn92l78w1zy0ajhcxgg39f7zsq883x")))) (properties `((upstream-name . "Chicago"))) (build-system r-build-system) (propagated-inputs `(("r-data-table" ,r-data-table) ("r-delaporte" ,r-delaporte) ("r-hmisc" ,r-hmisc) ("r-mass" ,r-mass) ("r-matrixstats" ,r-matrixstats))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://bioconductor.org/packages/Chicago") (synopsis "Capture Hi-C analysis of genomic organization") (description "This package provides a pipeline for analysing Capture Hi-C data.") (license license:artistic2.0))) (define-public r-cicero (package (name "r-cicero") (version "1.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "cicero" version)) (sha256 (base32 "1y34cm52bv1v2hr7sz8zjzxwd4wng7v75avz5wx45l0ld54z9l10")))) (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-stringi" ,r-stringi) ("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") (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-circrnaprofiler (package (name "r-circrnaprofiler") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "circRNAprofiler" version)) (sha256 (base32 "1hif40vfg2lkbyf6abbkxbdm3b1biw6gxnh6ca2sydvi3y5l2ys2")))) (properties `((upstream-name . "circRNAprofiler"))) (build-system r-build-system) (propagated-inputs `(("r-annotationhub" ,r-annotationhub) ("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ("r-bsgenome-hsapiens-ucsc-hg19" ,r-bsgenome-hsapiens-ucsc-hg19) ("r-deseq2" ,r-deseq2) ("r-dplyr" ,r-dplyr) ("r-edger" ,r-edger) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicranges" ,r-genomicranges) ("r-ggplot2" ,r-ggplot2) ("r-gwascat" ,r-gwascat) ("r-iranges" ,r-iranges) ("r-magrittr" ,r-magrittr) ("r-r-utils" ,r-r-utils) ("r-readr" ,r-readr) ("r-reshape2" ,r-reshape2) ("r-rlang" ,r-rlang) ("r-rtracklayer" ,r-rtracklayer) ("r-s4vectors" ,r-s4vectors) ("r-seqinr" ,r-seqinr) ("r-stringi" ,r-stringi) ("r-stringr" ,r-stringr) ("r-universalmotif" ,r-universalmotif))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://github.com/Aufiero/circRNAprofiler") (synopsis "Computational framework for the downstream analysis of circular RNA's") (description "@code{r-circrnaprofiler} is a computational framework for a comprehensive in silico analysis of @dfn{circular RNA} (circRNAs). This computational framework allows combining and analyzing circRNAs previously detected by multiple publicly available annotation-based circRNA detection tools. It covers different aspects of circRNAs analysis from differential expression analysis, evolutionary conservation, biogenesis to functional analysis.") (license license:gpl3))) (define-public r-cistopic (package (name "r-cistopic") (version "2.1.0") (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/aertslab/cisTopic") (commit (string-append "v" version)))) (file-name (git-file-name name version)) (sha256 (base32 "0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf")))) (build-system r-build-system) (propagated-inputs `(("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-cistopic-next (let ((commit "04cecbb9d1112fcc1a6edc28b5a506bcb49f2803") (revision "1")) (package (inherit r-cistopic) (name "r-cistopic-next") ;; The DESCRIPTION file says this is version 0.3.0, which is a bit odd ;; since the previous release is 2.1.0. Oh well. (version (git-version "0.3.0" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/aertslab/cisTopic") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "11cg9szlysnsjiaahda4k5v2vh4rxx27zhz53hafgaq9mdz0kgi2")))) (properties `((upstream-name . "cisTopic"))) (propagated-inputs `(("r-aucell" ,r-aucell) ("r-data-table" ,r-data-table) ("r-dosnow" ,r-dosnow) ("r-dplyr" ,r-dplyr) ("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) ("r-text2vec" ,r-text2vec))) (native-inputs `(("r-knitr" ,r-knitr)))))) (define-public r-genie3 (package (name "r-genie3") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GENIE3" version)) (sha256 (base32 "1v54dzcz654wfm3npbp8gb55v49im0fm547cz3hvsidq4zhi3l1b")))) (properties `((upstream-name . "GENIE3"))) (build-system r-build-system) (propagated-inputs `(("r-dplyr" ,r-dplyr) ("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 "1.68.1") (source (origin (method url-fetch) (uri (bioconductor-uri "ROC" version)) (sha256 (base32 "1rmsrvn6hrg9ay7xfb05mfkxknnig78p3kbk9ghsd11lhx2fjm3s")))) (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 "1.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wateRmelon" version)) (sha256 (base32 "1qar8z0nf33bqr488swig0bfq8lnvcdjcxvw3q3b0hkkvybn27zw")))) (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 "1.28.1") (source (origin (method url-fetch) (uri (bioconductor-uri "gdsfmt" version)) (sha256 (base32 "1w3z718q3bhh8bp71va9pbcd62pwbvgjw33ffg960jya40xssvc7")) (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 "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bigmelon" version)) (sha256 (base32 "061f0hc4m4nvdr6298pg3inpx1z2bpsm9nlxqs3v7n58q15xyzri")))) (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 "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "seqbias" version)) (sha256 (base32 "06w43plv4x1pafybq633n7adqp9yj3bvaaamq7vylmkfbcx3nl8k")))) (properties `((upstream-name . "seqbias"))) (build-system r-build-system) (propagated-inputs `(("r-biostrings" ,r-biostrings) ("r-genomicranges" ,r-genomicranges) ("r-rhtslib" ,r-rhtslib))) (home-page "https://bioconductor.org/packages/seqbias/") (synopsis "Estimation of per-position bias in high-throughput sequencing data") (description "This package implements a model of per-position sequencing bias in high-throughput sequencing data using a simple Bayesian network, the structure and parameters of which are trained on a set of aligned reads and a reference genome sequence.") (license license:lgpl3))) (define-public r-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 "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ReQON" version)) (sha256 (base32 "1z13avbxwvvhh03arjfnaipznynifsi8k2hzw4kappz24f7lwmza")))) (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 "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wavClusteR" version)) (sha256 (base32 "1sydzrqydfv1ik2h08xkxlx6xrv866bf0if6v5wch9l3krh0sych")))) (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))) (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 "1.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "TimeSeriesExperiment" version)) (sha256 (base32 "1095a2ynxcf9xiac5cjzslcbmjnjpbby0vy7d84qagdiq1w6mrhn")))) (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.") (license license:lgpl3+))) (define-public r-variantfiltering (package (name "r-variantfiltering") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "VariantFiltering" version)) (sha256 (base32 "0abhrk53csd9jz9sv4q1qr74jax9mbj2icbz1iilf1123nvnjypd")))) (properties `((upstream-name . "VariantFiltering"))) (build-system r-build-system) (propagated-inputs `(("r-annotationdbi" ,r-annotationdbi) ("r-biobase" ,r-biobase) ("r-biocgenerics" ,r-biocgenerics) ("r-biocparallel" ,r-biocparallel) ("r-biostrings" ,r-biostrings) ("r-bsgenome" ,r-bsgenome) ("r-dt" ,r-dt) ("r-genomeinfodb" ,r-genomeinfodb) ("r-genomicfeatures" ,r-genomicfeatures) ("r-genomicranges" ,r-genomicranges) ("r-genomicscores" ,r-genomicscores) ("r-graph" ,r-graph) ("r-gviz" ,r-gviz) ("r-iranges" ,r-iranges) ("r-rbgl" ,r-rbgl) ("r-rsamtools" ,r-rsamtools) ("r-s4vectors" ,r-s4vectors) ("r-shiny" ,r-shiny) ("r-shinyjs" ,r-shinyjs) ("r-shinythemes" ,r-shinythemes) ("r-shinytree" ,r-shinytree) ("r-summarizedexperiment" ,r-summarizedexperiment) ("r-variantannotation" ,r-variantannotation) ("r-xvector" ,r-xvector))) (home-page "https://github.com/rcastelo/VariantFiltering") (synopsis "Filtering of coding and non-coding genetic variants") (description "Filter genetic variants using different criteria such as inheritance model, amino acid change consequence, minor allele frequencies across human populations, splice site strength, conservation, etc.") (license license:artistic2.0))) (define-public r-genomegraphs (package (name "r-genomegraphs") (version "1.46.0") (source (origin (method url-fetch) (uri (bioconductor-uri "GenomeGraphs" version)) (sha256 (base32 "05vavhz936v7cknig2f2mn3fd9fiy54r3swlvifpawramblp1ags")))) (properties `((upstream-name . "GenomeGraphs"))) (build-system r-build-system) (propagated-inputs `(("r-biomart" ,r-biomart))) (home-page "https://bioconductor.org/packages/GenomeGraphs/") (synopsis "Plotting genomic information from Ensembl") (description "Genomic data analyses requires integrated visualization of known genomic information and new experimental data. GenomeGraphs uses the biomaRt package to perform live annotation queries to Ensembl and translates this to e.g. gene/transcript structures in viewports of the grid graphics package. This results in genomic information plotted together with your data. Another strength of GenomeGraphs is to plot different data types such as array CGH, gene expression, sequencing and other data, together in one plot using the same genome coordinate system.") (license license:artistic2.0))) (define-public r-wavetiling (package (name "r-wavetiling") (version "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "waveTiling" version)) (sha256 (base32 "0d7l559zlmly8mncmh1zhkqmsml0bwwfpm7ccp8l26y852vwf7hf")))) (properties `((upstream-name . "waveTiling"))) (build-system r-build-system) (propagated-inputs `(("r-affy" ,r-affy) ("r-biobase" ,r-biobase) ("r-biostrings" ,r-biostrings) ("r-genomegraphs" ,r-genomegraphs) ("r-genomicranges" ,r-genomicranges) ("r-iranges" ,r-iranges) ("r-oligo" ,r-oligo) ("r-oligoclasses" ,r-oligoclasses) ("r-preprocesscore" ,r-preprocesscore) ("r-waveslim" ,r-waveslim))) (home-page "https://r-forge.r-project.org/projects/wavetiling/") (synopsis "Wavelet-based models for tiling array transcriptome analysis") (description "This package is designed to conduct transcriptome analysis for tiling arrays based on fast wavelet-based functional models.") (license license:gpl2+))) (define-public r-variancepartition (package (name "r-variancepartition") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "variancePartition" version)) (sha256 (base32 "1pqy2g9pg8pswmkrs2fzlkwwliw2r7f33h05bci5bz41b8ribpzj")))) (properties `((upstream-name . 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(license license:gpl3+))) (define-public r-bioqc (package (name "r-bioqc") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioQC" version)) (sha256 (base32 "04akp94p0d0zid55m1b1k3qlw7iq914pcg57lihgj3pa92n1sc5l")))) (properties `((upstream-name . "BioQC"))) (build-system r-build-system) (propagated-inputs `(("r-biobase" ,r-biobase) ("r-edger" ,r-edger) ("r-rcpp" ,r-rcpp))) (native-inputs `(("r-knitr" ,r-knitr))) (home-page "https://accio.github.io/BioQC/") (synopsis "Detect tissue heterogeneity in expression profiles with gene sets") (description "BioQC performs quality control of high-throughput expression data based on tissue gene signatures. It can detect tissue heterogeneity in gene expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is optimised for high performance.") 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(license license:artistic2.0))) (define-public r-dmrseq (package (name "r-dmrseq") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "dmrseq" version)) (sha256 (base32 "1jbbjifjsnk9261wqmdwkbzj1w52g6vaanpk4w816ri0fap587m4")))) (properties `((upstream-name . 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It also includes functions to transform and pretty print some of the downloaded data, functions to access a number of other resources. Furthermore, OmnipathR features a close integration with the NicheNet method for ligand activity prediction from transcriptomics data.") (license license:expat))) (define-public r-biscuiteer (package (name "r-biscuiteer") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biscuiteer" version)) (sha256 (base32 "0f4kk4v2c5diq0fbvyvgwjd1kjk9izr6n9wfrlrr7wbx4pz3c3h6")))) (properties `((upstream-name . 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De novo transcriptomes can be linked to the appropriate sources with linkedTxomes and shared for computational reproducibility.") (license license:gpl2)))