;;; GNU Guix --- Functional package management for GNU ;;; Copyright © 2015-2023 Ricardo Wurmus ;;; Copyright © 2016, 2017, 2018, 2020, 2021 Roel Janssen ;;; Copyright © 2016 Pjotr Prins ;;; Copyright © 2016 Ben Woodcroft ;;; Copyright © 2017, 2022 Efraim Flashner ;;; Copyright © 2017, 2018, 2019, 2020, 2021 Tobias Geerinckx-Rice ;;; Copyright © 2019, 2020, 2021, 2022, 2023 Simon Tournier ;;; Copyright © 2020 Peter Lo ;;; Copyright © 2020-2023 Mădălin Ionel Patrașcu ;;; Copyright © 2020 Jakub Kądziołka ;;; Copyright © 2021 Hong Li ;;; Copyright © 2021 Tim Howes ;;; Copyright © 2021 Nicolas Vallet ;;; Copyright © 2023 Navid Afkhami ;;; ;;; This file is part of GNU Guix. ;;; ;;; GNU Guix is free software; you can redistribute it and/or modify it ;;; under the terms of the GNU General Public License as published by ;;; the Free Software Foundation; either version 3 of the License, or (at ;;; your option) any later version. ;;; ;;; GNU Guix is distributed in the hope that it will be useful, but ;;; WITHOUT ANY WARRANTY; without even the implied warranty of ;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ;;; GNU General Public License for more details. ;;; ;;; You should have received a copy of the GNU General Public License ;;; along with GNU Guix. If not, see . (define-module (gnu packages bioconductor) #:use-module ((guix licenses) #:prefix license:) #:use-module (guix packages) #:use-module (guix download) #:use-module (guix git-download) #:use-module (guix build-system r) #:use-module (gnu packages) #:use-module (gnu packages autotools) #:use-module (gnu packages base) #:use-module (gnu packages bioinformatics) #:use-module (gnu packages boost) #:use-module (gnu packages cran) #:use-module (gnu packages compression) #:use-module (gnu packages curl) #:use-module (gnu packages docker) #:use-module (gnu packages gcc) #:use-module (gnu packages graph) #:use-module (gnu packages graphviz) #:use-module (gnu packages haskell-xyz) #:use-module (gnu packages image) #:use-module (gnu packages java) #:use-module (gnu packages maths) #:use-module (gnu packages netpbm) #:use-module (gnu packages python) #:use-module (gnu packages perl) #:use-module (gnu packages pkg-config) #:use-module (gnu packages statistics) #:use-module (gnu packages web) #:use-module (gnu packages xml) #:use-module (srfi srfi-1)) ;;; Annotations (define-public r-org-eck12-eg-db (package (name "r-org-eck12-eg-db") (version "3.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "org.EcK12.eg.db" version 'annotation)) (sha256 (base32 "0c4p6jr83k0gm6pvn760yr8xf33wggrfcr6fg7a42a96bcf817gs")))) (properties `((upstream-name . 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The method has been specifically designed to: @itemize @item analyze @emph{germline} epimutations in the context of multi-generational mutation accumulation lines; @item analyze @emph{somatic} epimutations in the context of plant development and aging. @end itemize") (license license:gpl3))) (define-public r-alpine (package (name "r-alpine") (version "1.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "alpine" version)) (sha256 (base32 "0rjnwljh4c2f7ml0m14pllns4pvyjwwf23qsn6zjygm5x04bapf0")))) (properties `((upstream-name . 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Users are given the option to create or extend a reference atlas and,also simulate the desired size of the bulk signature profile of the reference cell types. The package includes the cell-type-specific methylation atlas and, Illumina Epic B5 probe ids that can be used in deconvolution. Additionally, we included @code{BSmeth2Probe}, to make mapping WGBS data to their probe IDs easier.") (license license:artistic2.0))) (define-public r-decoupler (package (name "r-decoupler") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "decoupleR" version)) (sha256 (base32 "1872pi2v9gymdpqdhab10ash4b2w8sbk1p635lf0p6s4679syhdi")))) (properties `((upstream-name . 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The deepSNV algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs. The shearwater algorithm computes a Bayes classifier based on a beta-binomial model for variant calling with multiple samples for precisely estimating model parameters - such as local error rates and dispersion - and prior knowledge, e.g. from variation data bases such as COSMIC.") (license license:gpl3))) (define-public r-delayedarray (package (name "r-delayedarray") (version "0.24.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DelayedArray" version)) (sha256 (base32 "0nl1v0mxb759wiia2rsxay0cv0q631gqyzgaa10s175lhzsb8r6p")))) (properties `((upstream-name . 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A heatmap is generated illustrating the relative expression intensities across each chromosome, and it often becomes readily apparent as to which regions of the tumor genome are over-abundant or less-abundant as compared to that of normal cells.") (license license:bsd-3))) (define-public r-iranges (package (name "r-iranges") (version "2.32.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IRanges" version)) (sha256 (base32 "0jvavhl6p2di0n5176gg7shfmpg79rngl2gaw423icswdf8kay89")))) (properties `((upstream-name . 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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:gpl3))) (define-public r-mutationalpatterns (package (name "r-mutationalpatterns") (version "3.8.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MutationalPatterns" version)) (sha256 (base32 "071s1hfxln8zdr303g0ifmajd3kcfxxb6dds0pz67chc2gmgnd9q")))) (build-system r-build-system) (native-inputs (list r-knitr)) (propagated-inputs (list r-biocgenerics r-biostrings r-bsgenome ;; These two packages are suggested packages r-bsgenome-hsapiens-1000genomes-hs37d5 r-bsgenome-hsapiens-ucsc-hg19 r-cowplot r-dplyr r-genomeinfodb r-genomicranges r-ggalluvial r-ggdendro r-ggplot2 r-iranges r-magrittr r-nmf r-pracma r-purrr r-rcolorbrewer r-s4vectors r-stringr r-tibble r-tidyr r-variantannotation)) (home-page "https://bioconductor.org/packages/MutationalPatterns/") (synopsis "Extract and visualize mutational patterns in genomic data") (description "This package provides an extensive toolset for the characterization and visualization of a wide range of mutational patterns in SNV base substitution data.") 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The package contains the original code written by the ISB, and a subset of the proteowizard library for mzML and mzIdentML. The netCDF reading code has previously been used in XCMS.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-numbat (package (name "r-numbat") (version "1.2.1") (source (origin (method url-fetch) (uri (cran-uri "numbat" version)) (sha256 (base32 "1jkz24j99cd333mvisp8x5swwr0iyix1kc962d2yx3mv5cn28xdb")))) (properties `((upstream-name . 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It does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). It can be used to: @enumerate @item detect allele-specific copy number variations from single-cells @item differentiate tumor versus normal cells in the tumor microenvironment @item infer the clonal architecture and evolutionary history of profiled tumors @end enumerate For details on the method see @url{https://doi.org/10.1038/s41587-022-01468-y, Gao et al in Nature Biotechnology 2022}.") (license license:expat))) (define-public r-organism-dplyr (package (name "r-organism-dplyr") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Organism.dplyr" version)) (sha256 (base32 "1hawn8pp63kal5ml0sm3h1j1wnkq02z64sliyaf6apv7vl60ja9g")))) (properties `((upstream-name . 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The presence of intronic reads in GRO-seq type of data makes it possible to use it to computationally identify and quantify all de novo continuous regions of transcription distributed across the genome. This type of data, however, is more challenging to interpret and less common practice compared to mRNA-seq. One of the challenges for primary transcript detection concerns the simultaneous transcription of closely spaced genes, which needs to be properly divided into individually transcribed units. The R package transcriptR combines RNA-seq data with ChIP-seq data of histone modifications that mark active Transcription Start Sites (TSSs), such as, H3K4me3 or H3K9/14Ac to overcome this challenge. The advantage of this approach over the use of, for example, gene annotations is that this approach is data driven and therefore able to deal also with novel and case specific events.") 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It is flexible enough to handle arbitrarily many branching events and allows for the incorporation of prior knowledge through supervised graph construction.") (license license:artistic2.0))) ;; This is a CRAN package but it depends on a bioconductor package. (define-public r-speaq (package (name "r-speaq") (version "2.7.0") (source (origin (method url-fetch) (uri (cran-uri "speaq" version)) (sha256 (base32 "0z9a3nbfazphp090c6hg892vjq7jp4g4cij3s5wbs1q567inbmlk")))) (properties `((upstream-name . "speaq"))) (build-system r-build-system) (propagated-inputs (list r-cluster r-data-table r-dosnow r-foreach r-ggplot2 r-gridextra r-impute r-massspecwavelet r-missforest r-reshape2 r-rfast r-rvest r-xml2)) (native-inputs (list r-knitr)) (home-page "https://cran.r-project.org/package=speaq") (synopsis "Tools for nuclear magnetic resonance spectra alignment") (description "This package aims to make @acronym{NMR, Nuclear Magnetic Resonance} spectroscopy data analysis as easy as possible. 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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 "1.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "SummarizedExperiment" version)) (sha256 (base32 "0897v6x1ki4m7kajnd60yv5qj6xa1293sj572b4dhcnfjvsf9rcn")))) (properties `((upstream-name . 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Important features include a uniform workflow interface across different NGS applications, automated report generation, and support for running both R and command-line software, such as NGS aligners or peak/variant callers, on local computers or compute clusters. Efficient handling of complex sample sets and experimental designs is facilitated by a consistently implemented sample annotation infrastructure.") (license license:artistic2.0))) (define-public r-topgo (package (name "r-topgo") (version "2.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "topGO" version)) (sha256 (base32 "1ripdn7mcabh96bm4p807dbwj7jv05a54kss4snhz84svqq383m4")))) (properties `((upstream-name . 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(license license:lgpl2.1+))) (define-public r-tximport (package (name "r-tximport") (version "1.26.1") (source (origin (method url-fetch) (uri (bioconductor-uri "tximport" version)) (sha256 (base32 "1r67q4nb2bx9nqycyr2gnfmh4gizl0c7l510vmlcdvplv3yi73yn")))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/tximport") (synopsis "Import and summarize transcript-level estimates for gene-level analysis") (description "This package provides tools to import transcript-level abundance, estimated counts and transcript lengths, and to summarize them into matrices for use with downstream gene-level analysis packages. Average transcript length, weighted by sample-specific transcript abundance estimates, is provided as a matrix which can be used as an offset for different expression of gene-level counts.") (license license:gpl2+))) ;; This is a CRAN package, but it depends on a Bioconductor package. (define-public r-valr (package (name "r-valr") (version "0.6.6") (source (origin (method url-fetch) (uri (cran-uri "valr" version)) (sha256 (base32 "0w3j8fkssp9s4ybaw8hvqbmsh5m991xkgr4nji3zar2pgmgk3qph")))) (build-system r-build-system) (propagated-inputs (list r-broom r-cli r-dplyr r-ggplot2 r-rcpp r-readr r-rlang r-rtracklayer ;bioconductor package r-stringr r-tibble)) (native-inputs (list r-knitr)) (home-page "https://github.com/rnabioco/valr") (synopsis "Genome interval arithmetic in R") (description "This package enables you to read and manipulate genome intervals and signals. It provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data.") 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(license license:artistic2.0))) (define-public r-vsn (package (name "r-vsn") (version "3.66.0") (source (origin (method url-fetch) (uri (bioconductor-uri "vsn" version)) (sha256 (base32 "1k77rg5jf646m1pn59qhlsbb9fzhlpnrj4dzxagknawcbpnnjl0z")))) (build-system r-build-system) (propagated-inputs (list r-affy r-biobase r-ggplot2 r-lattice r-limma)) (native-inputs (list r-knitr)) ; for vignettes (home-page "https://bioconductor.org/packages/release/bioc/html/vsn.html") (synopsis "Variance stabilization and calibration for microarray data") (description "The package implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation. Differences between transformed intensities are analogous to \"normalized log-ratios\". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.") (license license:artistic2.0))) ;; There is no source tarball, so we fetch the code from the Bioconductor git ;; repository. 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The result is a single output depicting the variation across all conditions. @code{XINA} not only extracts coabundance profiles within and across experiments, but also incorporates protein-protein interaction databases and integrative resources such as @dfn{Kyoto encyclopedia of genes and genomes} (KEGG) to infer interactors and molecular functions, respectively, and produces intuitive graphical outputs.") (license license:gpl3))) (define-public r-xmapbridge (package (name "r-xmapbridge") (version "1.56.0") (source (origin (method url-fetch) (uri (bioconductor-uri "xmapbridge" version)) (sha256 (base32 "0wxr3db2daj4xlr9df6iqwm00m71kln7rhqnq2ckdsricblanhs7")))) (properties `((upstream-name . "xmapbridge"))) (build-system r-build-system) (home-page "https://git.bioconductor.org/packages/xmapbridge") (synopsis "Display numeric data in the web based genome browser X:MAP") (description "The package @code{xmapbridge} can plot graphs in the X:Map genome browser. 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It implements a number of efficient methods for operating on the delayed matrix of residuals, most notably matrix multiplication and calculation of row/column sums or means.") (license license:gpl3))) (define-public r-batchelor (package (name "r-batchelor") (version "1.14.1") (source (origin (method url-fetch) (uri (bioconductor-uri "batchelor" version)) (sha256 (base32 "1yj84ba6px14hbqg8526527vfcxmzvmly34f7hba4vybdm1jscfm")))) (properties `((upstream-name . 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(license license:gpl2+))) (define-public r-monocle (package (name "r-monocle") (version "2.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "monocle" version)) (sha256 (base32 "1d3xgh9xgqa28bgyd06zkjmg75lq7hdah3d140l1bqq2ii1bv62g")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-biocviews r-cluster r-combinat r-ddrtree r-dplyr r-fastica r-ggplot2 r-hsmmsinglecell r-igraph r-irlba r-leidenbase r-limma r-mass r-matrix r-matrixstats r-pheatmap r-plyr r-proxy r-qlcmatrix r-rann r-rcpp r-reshape2 r-rtsne r-slam r-stringr r-tibble r-vgam r-viridis)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/monocle") (synopsis "Clustering, differential expression, and trajectory analysis for single-cell RNA-Seq") (description "Monocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle also performs differential expression analysis, clustering, visualization, and other useful tasks on single cell expression data. It is designed to work with RNA-Seq and qPCR data, but could be used with other types as well.") (license license:artistic2.0))) (define-public r-leidenbase (let ((commit "a11b8455fa3307d9e3ac4e3a5accddf3c83b9a96") (revision "1")) (package (name "r-leidenbase") (version (git-version "0.1.9" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/cole-trapnell-lab/leidenbase") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "1f54mycsffvzmblz5pzgs3v4jygnbvz0c9d3x710gw5mxkq2p84f")))) (properties `((upstream-name . 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(let ((commit "5fe20a9aaf4ac637fa83d9cc73ff1c22de97ca6f") (revision "1")) (package (name "r-sanssouci") (version (git-version "0" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/pneuvial/sanssouci.git") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "13ycdd790qw64qy2zdvcrpj3fc8as628rsly32438d3rifnlc5sk")))) (build-system r-build-system) (propagated-inputs (list r-generics r-matrix r-matrixstats r-rcpp r-rcpparmadillo)) (home-page "https://pneuvial.github.io/sanssouci") (synopsis "Post Hoc multiple testing inference") (description "The goal of sansSouci is to perform post hoc inference: in a multiple testing context, sansSouci provides statistical guarantees on possibly user-defined and/or data-driven sets of hypotheses.") 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(license license:expat))) (define-public r-noiseq (package (name "r-noiseq") (version "2.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "NOISeq" version)) (sha256 (base32 "1j0yafl5r1vsn99zkhvaz2mrwv37l4p8ldgiq09d9hxpjq9ls7i2")))) (properties `((upstream-name . "NOISeq"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-matrix)) (home-page "https://bioconductor.org/packages/NOISeq") (synopsis "Exploratory analysis and differential expression for RNA-seq data") (description "This package provides tools to support the analysis of RNA-seq expression data or other similar kind of data. It provides exploratory plots to evaluate saturation, count distribution, expression per chromosome, type of detected features, features length, etc. It also supports the analysis of differential expression between two experimental conditions with no parametric assumptions.") (license license:artistic2.0))) (define-public r-scdd (package (name "r-scdd") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "scDD" version)) (sha256 (base32 "0kmnmlzww2xfd04lp9nsh0wkigab9ipgqlsn2jrd77fizpd0kvwg")))) (properties `((upstream-name . "scDD"))) (build-system r-build-system) (propagated-inputs (list r-arm r-biocparallel r-ebseq r-fields r-ggplot2 r-mclust r-outliers r-s4vectors r-scran r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/kdkorthauer/scDD") (synopsis "Mixture modeling of single-cell RNA-seq data") (description "This package implements a method to analyze single-cell RNA-seq data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. 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(license license:gpl2))) (define-public r-illuminaio (package (name "r-illuminaio") (version "0.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "illuminaio" version)) (sha256 (base32 "1cw526mbhh0czkwk99qnr6hfwi4k4xi2bm5p14kw9sr00if59x12")))) (build-system r-build-system) (propagated-inputs (list r-base64)) (home-page "https://github.com/HenrikBengtsson/illuminaio/") (synopsis "Parse Illumina microarray output files") (description "This package provides tools for parsing Illumina's microarray output files, including IDAT.") (license license:gpl2))) (define-public r-siggenes (package (name "r-siggenes") (version "1.72.0") (source (origin (method url-fetch) (uri (bioconductor-uri "siggenes" version)) (sha256 (base32 "0gis34s56y4xa61a9gywjwgd6525ywasa6r4xxhj3rshh1dz5jkv")))) (build-system r-build-system) (propagated-inputs (list r-biobase r-multtest r-scrime)) (home-page "https://bioconductor.org/packages/siggenes/") (synopsis "Multiple testing using SAM and Efron's empirical Bayes approaches") (description "This package provides tools for the identification of differentially expressed genes and estimation of the @dfn{False Discovery Rate} (FDR) using both the Significance Analysis of Microarrays (SAM) and the @dfn{Empirical Bayes Analyses of Microarrays} (EBAM).") (license license:lgpl2.0+))) (define-public r-bumphunter (package (name "r-bumphunter") (version "1.40.0") (source (origin (method url-fetch) (uri (bioconductor-uri "bumphunter" version)) (sha256 (base32 "0jwbhd2fhm1w5slwhz8krnw835a8qb4akm3n3pv867bvi0xnp3g2")))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-biocgenerics r-dorng r-foreach r-genomeinfodb r-genomicfeatures r-genomicranges r-iranges r-iterators r-limma r-locfit r-matrixstats r-s4vectors)) (home-page "https://github.com/ririzarr/bumphunter") (synopsis "Find bumps in genomic data") (description "This package provides tools for finding bumps in genomic data in order to identify differentially methylated regions in epigenetic epidemiology studies.") (license license:artistic2.0))) (define-public r-mia (package (name "r-mia") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mia" version)) (sha256 (base32 "0yz88ggv6d5rccdwzixwg9y1bc4xysazlmv1ph88wxs8r6fcmync")))) (properties `((upstream-name . "mia"))) (build-system r-build-system) (propagated-inputs (list r-ape r-biocgenerics r-biocparallel r-biostrings r-decipher r-decontam r-delayedarray r-delayedmatrixstats r-dirichletmultinomial r-dplyr r-iranges r-mass r-multiassayexperiment r-rlang r-s4vectors r-scater r-scuttle r-singlecellexperiment r-summarizedexperiment r-tibble r-tidyr r-treesummarizedexperiment r-vegan)) (native-inputs (list r-knitr)) (home-page "https://github.com/microbiome/mia") (synopsis "Microbiome analysis") (description "The mia package implements tools for microbiome analysis based on the @code{SummarizedExperiment}, @code{SingleCellExperiment} and @code{TreeSummarizedExperiment} infrastructure. Data wrangling and analysis in the context of taxonomic data is the main scope. Additional functions for common task are implemented such as community indices calculation and summarization.") (license license:artistic2.0))) (define-public r-microbiome (package (name "r-microbiome") (version "1.20.0") (source (origin (method url-fetch) (uri (bioconductor-uri "microbiome" version)) (sha256 (base32 "1j3lrrz6yxfzsr037c0bbdhrs0ll7jg0mpcvk3iqdryi5rysnx0x")))) (properties `((upstream-name . "microbiome"))) (build-system r-build-system) (propagated-inputs (list r-biostrings r-compositions r-dplyr r-ggplot2 r-phyloseq r-reshape2 r-rtsne r-scales r-tibble r-tidyr r-vegan)) (native-inputs (list r-knitr)) (home-page "https://microbiome.github.io/microbiome/") (synopsis "Tools for microbiome analysis") (description "This package facilitates phyloseq exploration and analysis of taxonomic profiling data. This package provides tools for the manipulation, statistical analysis, and visualization of taxonomic profiling data. In addition to targeted case-control studies, microbiome facilitates scalable exploration of population cohorts. This package supports the independent phyloseq data format and expands the available toolkit in order to facilitate the standardization of the analyses and the development of best practices.") (license license:bsd-2))) (define-public r-milor (package (name "r-milor") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "miloR" version)) (sha256 (base32 "07p9rs1jmgxqaahjbrnvvs94c142n2qfw8ip3qqkr6mhzwr19ly3")))) (properties `((upstream-name . "miloR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocneighbors r-biocparallel r-biocsingular r-cowplot r-dplyr r-edger r-ggbeeswarm r-ggplot2 r-ggraph r-ggrepel r-gtools r-igraph r-irlba r-limma r-matrix r-matrixstats r-patchwork r-rcolorbrewer r-s4vectors r-singlecellexperiment r-stringr r-summarizedexperiment r-tibble r-tidyr)) (native-inputs (list r-knitr)) (home-page "https://marionilab.github.io/miloR") (synopsis "Differential neighbourhood abundance testing on a graph") (description "Milo performs single-cell differential abundance testing. Cell states are modelled as representative neighbourhoods on a nearest neighbour graph. Hypothesis testing is performed using a negative bionomial generalized linear model.") (license license:gpl3))) (define-public r-minfi (package (name "r-minfi") (version "1.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "minfi" version)) (sha256 (base32 "15989zilgy2j4k4nw046qg8wli7ynjh2b1yzfv7cwgn87mp618lc")))) (build-system r-build-system) (propagated-inputs (list r-beanplot r-biobase r-biocgenerics r-biocparallel r-biostrings r-bumphunter r-data-table r-delayedarray r-delayedmatrixstats r-genefilter r-genomeinfodb r-genomicranges r-geoquery r-hdf5array r-illuminaio r-iranges r-lattice r-limma r-mass r-mclust r-nlme r-nor1mix r-preprocesscore r-quadprog r-rcolorbrewer r-reshape r-s4vectors r-siggenes r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/hansenlab/minfi") (synopsis "Analyze Illumina Infinium DNA methylation arrays") (description "This package provides tools to analyze and visualize Illumina Infinium methylation arrays.") (license license:artistic2.0))) (define-public r-methylumi (package (name "r-methylumi") (version "2.44.0") (source (origin (method url-fetch) (uri (bioconductor-uri "methylumi" version)) (sha256 (base32 "07kfyv3kkayzh0akxfl3p9gckw8qiplkxbyxw8npc7cb03ihgmc4")))) (build-system r-build-system) (propagated-inputs (list r-annotate r-annotationdbi r-biobase r-biocgenerics r-fdb-infiniummethylation-hg19 r-genefilter r-genomeinfodb r-genomicfeatures r-genomicranges r-ggplot2 r-illuminaio r-iranges r-lattice r-matrixstats r-minfi r-reshape2 r-s4vectors r-scales r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/methylumi") (synopsis "Handle Illumina methylation data") (description "This package provides classes for holding and manipulating Illumina methylation data. Based on eSet, it can contain MIAME information, sample information, feature information, and multiple matrices of data. An \"intelligent\" import function, methylumiR can read the Illumina text files and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files from HumanMethylation27 and HumanMethylation450 microarrays. Normalization, background correction, and quality control features for GoldenGate, Infinium, and Infinium HD arrays are also included.") (license license:gpl2))) (define-public r-lumi (package (name "r-lumi") (version "2.50.0") (source (origin (method url-fetch) (uri (bioconductor-uri "lumi" version)) (sha256 (base32 "1091458is69dxnjrcd11czqy55c68sdnkrmpvlm6hw2cbghs2bjq")))) (build-system r-build-system) (propagated-inputs (list r-affy r-annotate r-annotationdbi r-biobase r-dbi r-genomicfeatures r-genomicranges r-kernsmooth r-lattice r-mass r-methylumi r-mgcv r-nleqslv r-preprocesscore r-rsqlite)) (home-page "https://bioconductor.org/packages/lumi") (synopsis "BeadArray-specific methods for Illumina methylation and expression microarrays") (description "The lumi package provides an integrated solution for the Illumina microarray data analysis. It includes functions of Illumina BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific variance stabilization, normalization and gene annotation at the probe level. It also includes the functions of processing Illumina methylation microarrays, especially Illumina Infinium methylation microarrays.") (license license:lgpl2.0+))) (define-public r-linnorm (package (name "r-linnorm") (version "2.22.1") (source (origin (method url-fetch) (uri (bioconductor-uri "Linnorm" version)) (sha256 (base32 "16d7viyidqbsy3mbr2cpq9p291yf362a4blhvs05qxcwm3fjllij")))) (properties `((upstream-name . "Linnorm"))) (build-system r-build-system) (propagated-inputs (list r-amap r-apcluster r-ellipse r-fastcluster r-fpc r-ggdendro r-ggplot2 r-gmodels r-igraph r-limma r-mass r-mclust r-rcpp r-rcpparmadillo r-rtsne r-statmod r-vegan r-zoo)) (native-inputs (list r-knitr)) (home-page "http://www.jjwanglab.org/Linnorm/") (synopsis "Linear model and normality based transformation method") (description "Linnorm is an R package for the analysis of RNA-seq, scRNA-seq, ChIP-seq count data or any large scale count data. It transforms such datasets for parametric tests. In addition to the transformtion function (@code{Linnorm}), the following pipelines are implemented: @enumerate @item Library size/batch effect normalization (@code{Linnorm.Norm}) @item Cell subpopluation analysis and visualization using t-SNE or PCA K-means clustering or hierarchical clustering (@code{Linnorm.tSNE}, @code{Linnorm.PCA}, @code{Linnorm.HClust}) @item Differential expression analysis or differential peak detection using limma (@code{Linnorm.limma}) @item Highly variable gene discovery and visualization (@code{Linnorm.HVar}) @item Gene correlation network analysis and visualization (@code{Linnorm.Cor}) @item Stable gene selection for scRNA-seq data; for users without or who do not want to rely on spike-in genes (@code{Linnorm.SGenes}) @item Data imputation (@code{Linnorm.DataImput}). @end enumerate Linnorm can work with raw count, CPM, RPKM, FPKM and TPM. Additionally, the @code{RnaXSim} function is included for simulating RNA-seq data for the evaluation of DEG analysis methods.") (license license:expat))) (define-public r-ioniser (package (name "r-ioniser") (version "2.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "IONiseR" version)) (sha256 (base32 "1xkxqavhcw22lhij87cpd5ps1ldkzzi0pp93d38pxbbhj15gc3d3")))) (properties `((upstream-name . "IONiseR"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-biocparallel r-biostrings r-bit64 r-dplyr r-ggplot2 r-magrittr r-rhdf5 r-shortread r-stringr r-tibble r-tidyr r-xvector)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/IONiseR/") (synopsis "Quality assessment tools for Oxford Nanopore MinION data") (description "IONiseR provides tools for the quality assessment of Oxford Nanopore MinION data. It extracts summary statistics from a set of fast5 files and can be used either before or after base calling. In addition to standard summaries of the read-types produced, it provides a number of plots for visualising metrics relative to experiment run time or spatially over the surface of a flowcell.") (license license:expat))) ;; This is a CRAN package, but it depends on multtest from Bioconductor. (define-public r-mutoss (package (name "r-mutoss") (version "0.1-12") (source (origin (method url-fetch) (uri (cran-uri "mutoss" version)) (sha256 (base32 "1yk7p7pb2xm38d3j19ysgwmix48lvimbhkhjjwk5jmr1a0ysx298")))) (properties `((upstream-name . "mutoss"))) (build-system r-build-system) (propagated-inputs (list r-multcomp r-multtest r-mvtnorm r-plotrix)) (home-page "https://github.com/kornl/mutoss/") (synopsis "Unified multiple testing procedures") (description "This package is designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying mutossGUI package.") ;; Any version of the GPL. (license (list license:gpl2+ license:gpl3+)))) ;; This is a CRAN package, but it depends on mutoss, which depends on multtest ;; from Bioconductor, so we put it here. (define-public r-metap (package (name "r-metap") (version "1.8") (source (origin (method url-fetch) (uri (cran-uri "metap" version)) (sha256 (base32 "0asmypxfxly4xmcjf3yzid5zqlzg88z0brij2splfk4avsl035gf")))) (build-system r-build-system) (propagated-inputs (list r-lattice r-mathjaxr r-mutoss r-qqconf r-rdpack r-tfisher)) (home-page "http://www.dewey.myzen.co.uk/meta/meta.html") (synopsis "Meta-analysis of significance values") (description "The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and a routine for graphical display.") 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GOfuncR provides the standard candidate vs background enrichment analysis using the hypergeometric test, as well as three additional tests: @enumerate @item the Wilcoxon rank-sum test that is used when genes are ranked, @item a binomial test that is used when genes are associated with two counts, and @item a Chi-square or Fisher's exact test that is used in cases when genes are associated with four counts. @end enumerate To correct for multiple testing and interdependency of the tests, family-wise error rates are computed based on random permutations of the gene-associated variables. GOfuncR also provides tools for exploring the ontology graph and the annotations, and options to take gene-length or spatial clustering of genes into account. It is also possible to provide custom gene coordinates, annotations and ontologies.") 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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 "2.70.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gcrma" version)) (sha256 (base32 "0a3wjwjgjkpmfvgg0b4jc1rkwzsqrjbaziydjfnkll4rw9xcavy1")))) (build-system r-build-system) (propagated-inputs (list r-affy r-affyio r-biobase r-biocmanager r-biostrings r-xvector)) (home-page "https://bioconductor.org/packages/gcrma/") (synopsis "Background adjustment using sequence information") (description "Gcrma adjusts for background intensities in Affymetrix array data which include optical noise and @dfn{non-specific binding} (NSB). The main function @code{gcrma} converts background adjusted probe intensities to expression measures using the same normalization and summarization methods as a @dfn{Robust Multiarray Average} (RMA). 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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 "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "MultiDataSet" version)) (sha256 (base32 "1qja5xd42wh8qbcil4hhnmh9zlby2gfglax2qbf5bzg3h6yzpy4g")))) (properties `((upstream-name . "MultiDataSet"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-genomicranges r-ggplot2 r-ggrepel r-iranges r-limma r-qqman r-s4vectors r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/MultiDataSet/") (synopsis "Implementation of MultiDataSet and ResultSet") (description "This package provides an implementation of the BRGE's (Bioinformatic Research Group in Epidemiology from Center for Research in Environmental Epidemiology) MultiDataSet and ResultSet. 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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).") 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"ggcyto"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-flowcore r-flowworkspace r-ggplot2 r-gridextra r-hexbin r-ncdfflow r-plyr r-rcolorbrewer r-rlang r-scales)) (native-inputs (list r-knitr)) (home-page "https://github.com/RGLab/ggcyto/issues") (synopsis "Visualize Cytometry data with ggplot") (description "With the dedicated fortify method implemented for @code{flowSet}, @code{ncdfFlowSet} and @code{GatingSet} classes, both raw and gated flow cytometry data can be plotted directly with ggplot. The @code{ggcyto} wrapper and some custom layers also make it easy to add gates and population statistics to the plot.") (license license:artistic2.0))) (define-public r-flowviz (package (name "r-flowviz") (version "1.62.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowViz" version)) (sha256 (base32 "0yz2b3l0bv5i7vrr893wrs3jl215i17m2hr92iisdc6mh9i0lpz8")))) (properties `((upstream-name . "flowViz"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-flowcore r-hexbin r-idpmisc r-kernsmooth r-lattice r-latticeextra r-mass r-rcolorbrewer)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/flowViz/") (synopsis "Visualization for flow cytometry") (description "This package provides visualization tools for flow cytometry data.") (license license:artistic2.0))) (define-public r-flowclust (package (name "r-flowclust") (version "3.36.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowClust" version)) (sha256 (base32 "1l1lfgm6x06gyzda36m6gvqmb91zbrz8m83b1fnfzpxkhqha20yq")))) (properties `((upstream-name . "flowClust"))) (build-system r-build-system) (arguments `(#:configure-flags (list "--configure-args=--enable-bundled-gsl=no"))) (propagated-inputs (list r-biobase r-biocgenerics r-flowcore r-graph)) (inputs (list gsl)) (native-inputs (list pkg-config r-knitr)) (home-page "https://bioconductor.org/packages/flowClust") (synopsis "Clustering for flow cytometry") (description "This package provides robust model-based clustering using a t-mixture model with Box-Cox transformation.") (license license:artistic2.0))) ;; TODO: this package bundles an old version of protobuf. It's not easy to ;; make it use our protobuf package instead. (define-public r-rprotobuflib (package (name "r-rprotobuflib") (version "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "RProtoBufLib" version)) (sha256 (base32 "07d5skr8cp0hyjbs7whw4h8scrf2w4hyn0wzj3khqdss53zmmr2m")))) (properties `((upstream-name . "RProtoBufLib"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'unpack-bundled-sources (lambda _ (with-directory-excursion "src" (invoke "tar" "xf" "protobuf-3.8.0.tar.gz"))))))) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/RProtoBufLib/") (synopsis "C++ headers and static libraries of Protocol buffers") (description "This package provides the headers and static library of Protocol buffers for other R packages to compile and link against.") (license license:bsd-3))) (define-public r-flowworkspace (package (name "r-flowworkspace") (version "4.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "flowWorkspace" version)) (sha256 (base32 "0jmbfclkfm0n2mshk94906kivii7awlskf7l7ydn8ki8wrpzxqg4")))) (properties `((upstream-name . "flowWorkspace"))) (build-system r-build-system) (propagated-inputs (list r-bh r-biobase r-biocgenerics r-cpp11 r-cytolib r-data-table r-delayedarray r-dplyr r-flowcore r-ggplot2 r-graph r-matrixstats r-ncdfflow r-rbgl r-rgraphviz r-rhdf5lib r-rprotobuflib r-s4vectors r-scales r-xml)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/flowWorkspace/") (synopsis "Infrastructure for working with cytometry data") (description "This package is designed to facilitate comparison of automated gating methods against manual gating done in flowJo. This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the @code{flowCore} functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.") (license license:artistic2.0))) (define-public r-flowstats (package (name "r-flowstats") (version "4.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "flowStats" version)) (sha256 (base32 "10xq0rfnshvam2yh34566ywmsby44aa1fg8wqwmllm202rhcgl2p")))) (properties `((upstream-name . "flowStats"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-biocgenerics r-cluster r-corpcor r-fda r-flowcore r-flowviz r-flowworkspace r-kernsmooth r-ks r-lattice r-mass r-mnormt r-ncdfflow r-rcolorbrewer r-rrcov)) (home-page "http://www.github.com/RGLab/flowStats") (synopsis "Statistical methods for the analysis of flow cytometry data") (description "This package provides methods and functionality to analyze flow data that is beyond the basic infrastructure provided by the @code{flowCore} package.") (license license:artistic2.0))) (define-public r-opencyto (package (name "r-opencyto") (version "2.10.1") (source (origin (method url-fetch) (uri (bioconductor-uri "openCyto" version)) (sha256 (base32 "16wsa9dhnz8gz1siyhfxvnbfg142g7fmhxiqxr7n69qpq9w8yhr0")))) (properties `((upstream-name . "openCyto"))) (build-system r-build-system) (propagated-inputs (list r-bh r-biobase r-biocgenerics r-cpp11 r-data-table r-flowclust r-flowcore r-flowviz r-flowworkspace r-graph r-ncdfflow r-rbgl r-rcolorbrewer)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/openCyto") (synopsis "Hierarchical gating pipeline for flow cytometry data") (description "This package is designed to facilitate the automated gating methods in a sequential way to mimic the manual gating strategy.") (license license:artistic2.0))) (define-public r-cytoml (package (name "r-cytoml") (version "2.10.0") (source (origin (method url-fetch) (uri (bioconductor-uri "CytoML" version)) (sha256 (base32 "105vdmwwglknwk7x7cb6b2jf6bngbxsly0ymjf8175p2lfv98jsa")))) (properties `((upstream-name . "CytoML"))) (build-system r-build-system) (inputs (list libxml2 zlib)) (propagated-inputs (list r-base64enc r-bh r-biobase r-corpcor r-cytolib r-data-table r-dplyr r-flowcore r-flowworkspace r-ggcyto r-graph r-jsonlite r-lattice r-opencyto r-plyr r-rbgl r-rcpp r-rcpparmadillo r-rcppparallel r-rgraphviz r-rhdf5lib r-rprotobuflib r-runit r-tibble r-xml r-xml2 r-yaml)) (native-inputs (list r-knitr)) (home-page "https://github.com/RGLab/CytoML") (synopsis "GatingML interface for cross platform cytometry data sharing") (description "This package provides an interface to implementations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.") (license license:artistic2.0))) (define-public r-flowsom (package (name "r-flowsom") (version "2.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "FlowSOM" version)) (sha256 (base32 "1s7xilhhc55igq0zmvpfzhnh5df8bzmm3daknz75xhzhhg5b7z1c")))) (properties `((upstream-name . "FlowSOM"))) (build-system r-build-system) (propagated-inputs (list r-biocgenerics r-colorramps r-consensusclusterplus r-cytoml r-dplyr r-flowcore r-flowworkspace r-ggforce r-ggnewscale r-ggplot2 r-ggpointdensity r-ggpubr r-ggrepel r-igraph r-magrittr r-pheatmap r-rcolorbrewer r-rlang r-rtsne r-scattermore r-tidyr r-xml)) (home-page "https://bioconductor.org/packages/FlowSOM/") (synopsis "Visualize and interpret cytometry data") (description "FlowSOM offers visualization options for cytometry data, by using self-organizing map clustering and minimal spanning trees.") (license license:gpl2+))) (define-public r-mixomics (package (name "r-mixomics") (version "6.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "mixOmics" version)) (sha256 (base32 "0w6shihvnvkjycba1hy8drd8wcxxcl2rimkrb4vdl8aygdifrarx")))) (properties `((upstream-name . "mixOmics"))) (build-system r-build-system) (propagated-inputs (list r-biocparallel r-corpcor r-dplyr r-ellipse r-ggrepel r-ggplot2 r-gridextra r-igraph r-lattice r-mass r-matrixstats r-rarpack r-rcolorbrewer r-reshape2 r-tidyr)) (native-inputs (list r-knitr)) (home-page "http://www.mixOmics.org") (synopsis "Multivariate methods for exploration of biological datasets") (description "mixOmics offers a wide range of multivariate methods for the exploration and integration of biological datasets with a particular focus on variable selection. The package proposes several sparse multivariate models we have developed to identify the key variables that are highly correlated, and/or explain the biological outcome of interest. The data that can be analysed with mixOmics may come from high throughput sequencing technologies, such as omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but also beyond the realm of omics (e.g. spectral imaging). The methods implemented in mixOmics can also handle missing values without having to delete entire rows with missing data.") (license license:gpl2+))) (define-public r-depecher (package ;Source/Weave error (name "r-depecher") (version "1.14.0") (source (origin (method url-fetch) (uri (bioconductor-uri "DepecheR" version)) (sha256 (base32 "1j4gxgw1s3a0nm888k02qi1smxqsplc42827ks666md025h9bxcj")))) (properties `((upstream-name . 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(license license:expat))) (define-public r-rcistarget (package (name "r-rcistarget") (version "1.18.2") (source (origin (method url-fetch) (uri (bioconductor-uri "RcisTarget" version)) (sha256 (base32 "02lz2m2zhwy1dvmjvlss6qg0dh574qhnvn7al3wx7ck1hkz0dgi2")))) (properties `((upstream-name . "RcisTarget"))) (build-system r-build-system) (propagated-inputs (list r-arrow r-aucell r-biocgenerics r-data-table r-dplyr r-genomeinfodb r-genomicranges r-gseabase r-r-utils r-s4vectors r-summarizedexperiment r-tibble)) (native-inputs (list r-knitr)) (home-page "https://aertslab.org/#scenic") (synopsis "Identify transcription factor binding motifs enriched on a gene list") (description "RcisTarget identifies @dfn{transcription factor binding motifs} (TFBS) over-represented on a gene list. In a first step, RcisTarget selects DNA motifs that are significantly over-represented in the surroundings of the @dfn{transcription start site} (TSS) of the genes in the gene-set. This is achieved by using a database that contains genome-wide cross-species rankings for each motif. The motifs that are then annotated to TFs and those that have a high @dfn{Normalized Enrichment Score} (NES) are retained. Finally, for each motif and gene-set, RcisTarget predicts the candidate target genes (i.e. genes in the gene-set that are ranked above the leading edge).") (license license:gpl3))) (define-public r-chicago (package (name "r-chicago") (version "1.26.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Chicago" version)) (sha256 (base32 "1b24iiy6d5kzpixgpdkg4s1cb50jdrmgn9sjgvwr1qinckwz6zdn")))) (properties `((upstream-name . "Chicago"))) (build-system r-build-system) (propagated-inputs (list r-data-table r-delaporte r-hmisc r-mass r-matrixstats)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/Chicago") (synopsis "Capture Hi-C analysis of genomic organization") (description "This package provides a pipeline for analysing Capture Hi-C data.") (license license:artistic2.0))) ;; This is a CRAN package, but it depends on Bioconductor packages, so we put ;; it here. (define-public r-ciara (package (name "r-ciara") (version "0.1.0") (source (origin (method url-fetch) (uri (cran-uri "CIARA" version)) (sha256 (base32 "0nr7wks9231326x0lhpbh824c6vcb5hr5jn89s9bmg9mci907bsf")))) (properties `((upstream-name . "CIARA"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-ggplot2 r-ggraph r-magrittr)) (native-inputs (list r-knitr)) (home-page "https://cran.r-project.org/package=CIARA") (synopsis "Cluster-independent algorithm for rare cell types identification") (description "This is a package to support identification of markers of rare cell types by looking at genes whose expression is confined in small regions of the expression space.") (license license:artistic2.0))) (define-public r-cicero (package (name "r-cicero") (version "1.16.0") (source (origin (method url-fetch) (uri (bioconductor-uri "cicero" version)) (sha256 (base32 "0grzp9k06dz04bw07nf9qka19mara1kplyd24y8mg8208wk949f6")))) (build-system r-build-system) (propagated-inputs (list r-assertthat r-biobase r-biocgenerics r-data-table r-dplyr r-fnn r-genomicranges r-ggplot2 r-glasso r-gviz r-igraph r-iranges r-matrix r-monocle r-plyr r-reshape2 r-s4vectors r-stringi r-stringr r-tibble r-tidyr r-vgam)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/cicero/") (synopsis "Predict cis-co-accessibility from single-cell data") (description "Cicero computes putative cis-regulatory maps from single-cell chromatin accessibility data. It also extends the monocle package for use in chromatin accessibility data.") (license license:expat))) ;; This is the latest commit on the "monocle3" branch. (define-public r-cicero-monocle3 (let ((commit "fa2fb6515857a8cfc88bc9af044f34de1bcd2b7b") (revision "1")) (package (inherit r-cicero) (name "r-cicero-monocle3") (version (git-version "1.3.2" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/cole-trapnell-lab/cicero-release") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "077yza93wdhi08n40md20jwk55k9lw1f3y0063qkk90cpz60wi0c")))) (propagated-inputs (modify-inputs (package-propagated-inputs r-cicero) (delete "r-monocle") (prepend r-monocle3)))))) (define-public r-circrnaprofiler (package (name "r-circrnaprofiler") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "circRNAprofiler" version)) (sha256 (base32 "07l8vaqbw36hvs8pyn1gk6dglnmkcmbafvd4rdrhg2wqwnlpsf40")))) (properties `((upstream-name . 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(license license:gpl3))) (define-public r-cistopic (package (name "r-cistopic") (version "2.1.0") (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/aertslab/cisTopic") (commit (string-append "v" version)))) (file-name (git-file-name name version)) (sha256 (base32 "0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf")))) (build-system r-build-system) (propagated-inputs (list r-aucell r-data-table r-dplyr r-dosnow r-dt r-feather r-fitdistrplus r-genomicranges r-ggplot2 r-lda r-matrix r-plyr r-rcistarget r-rtracklayer r-s4vectors)) (home-page "https://github.com/aertslab/cisTopic") (synopsis "Modelling of cis-regulatory topics from single cell epigenomics data") (description "The sparse nature of single cell epigenomics data can be overruled using probabilistic modelling methods such as @dfn{Latent Dirichlet Allocation} (LDA). This package allows the probabilistic modelling of cis-regulatory topics (cisTopics) from single cell epigenomics data, and includes functionalities to identify cell states based on the contribution of cisTopics and explore the nature and regulatory proteins driving them.") (license license:gpl3))) (define-public r-cistopic-next (let ((commit "04cecbb9d1112fcc1a6edc28b5a506bcb49f2803") (revision "1")) (package (inherit r-cistopic) (name "r-cistopic-next") ;; The DESCRIPTION file says this is version 0.3.0, which is a bit odd ;; since the previous release is 2.1.0. Oh well. (version (git-version "0.3.0" revision commit)) (source (origin (method git-fetch) (uri (git-reference (url "https://github.com/aertslab/cisTopic") (commit commit))) (file-name (git-file-name name version)) (sha256 (base32 "11cg9szlysnsjiaahda4k5v2vh4rxx27zhz53hafgaq9mdz0kgi2")))) (properties `((upstream-name . 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(license license:gpl2+))) (define-public r-roc (package (name "r-roc") (version "1.74.0") (source (origin (method url-fetch) (uri (bioconductor-uri "ROC" version)) (sha256 (base32 "00pw6xmxjzprbx8wskq6gbyqkfak764vic5yxrzs6wpram352vmv")))) (properties `((upstream-name . "ROC"))) (build-system r-build-system) (native-inputs (list r-knitr)) (home-page "https://www.bioconductor.org/packages/ROC/") (synopsis "Utilities for ROC curves") (description "This package provides utilities for @dfn{Receiver Operating Characteristic} (ROC) curves, with a focus on micro arrays.") (license license:artistic2.0))) (define-public r-watermelon (package (name "r-watermelon") (version "2.4.0") (source (origin (method url-fetch) (uri (bioconductor-uri "wateRmelon" version)) (sha256 (base32 "0m8mra0jb6sgm13dagqn1pj81dha4dyj65xc6r2sh0yc3pyjb20h")))) (properties `((upstream-name . "wateRmelon"))) (build-system r-build-system) (propagated-inputs (list r-biobase r-illuminahumanmethylation450kanno-ilmn12-hg19 r-illuminaio r-limma r-lumi r-matrixstats r-methylumi r-roc)) (native-inputs (list r-knitr)) (home-page "https://bioconductor.org/packages/wateRmelon/") (synopsis "Illumina 450 methylation array normalization and metrics") (description "The standard index of DNA methylation (beta) is computed from methylated and unmethylated signal intensities. Betas calculated from raw signal intensities perform well, but using 11 methylomic datasets we demonstrate that quantile normalization methods produce marked improvement. The commonly used procedure of normalizing betas is inferior to the separate normalization of M and U, and it is also advantageous to normalize Type I and Type II assays separately. This package provides 15 flavours of betas and three performance metrics, with methods for objects produced by the @code{methylumi} and @code{minfi} packages.") (license license:gpl3))) (define-public r-gdsfmt (package (name "r-gdsfmt") (version "1.34.0") (source (origin (method url-fetch) (uri (bioconductor-uri "gdsfmt" version)) (sha256 (base32 "1ck3qq4vhjp6vvicpldr7d2rkpspp5albjkbqjbshnbq11fhrk06")) (modules '((guix build utils))) ;; Remove bundled sources of zlib, lz4, and xz. Don't attempt to build ;; them and link with system libraries instead. (snippet '(begin (for-each delete-file-recursively '("src/LZ4" "src/XZ" "src/ZLIB")) (substitute* "src/Makevars" (("all: \\$\\(SHLIB\\)") "all:") (("\\$\\(SHLIB\\): liblzma.a") "") (("^ (ZLIB|LZ4)/.*") "") (("CoreArray/dVLIntGDS.cpp.*") "CoreArray/dVLIntGDS.cpp") (("CoreArray/dVLIntGDS.o.*") "CoreArray/dVLIntGDS.o") (("PKG_LIBS = ./liblzma.a") "PKG_LIBS = -llz4")) (substitute* "src/CoreArray/dStream.h" (("include \"../(ZLIB|LZ4|XZ/api)/(.*)\"" _ _ header) (string-append "include <" header ">"))))))) (properties `((upstream-name . 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(license license:gpl3+))) (define-public r-biotip (package (name "r-biotip") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "BioTIP" version)) (sha256 (base32 "1n90n4vz0cwz8irwpmrkm9qcyvk5rssl2v6wrzny4zwhzjkmvlni")))) (properties `((upstream-name . "BioTIP"))) (build-system r-build-system) (propagated-inputs (list r-cluster r-genomicranges r-igraph r-mass r-psych r-scran r-stringr)) (native-inputs (list r-knitr)) (home-page "https://github.com/xyang2uchicago/BioTIP") (synopsis "R package for characterization of biological tipping-point") (description "This package adopts tipping-point theory to transcriptome profiles to help unravel disease regulatory trajectory.") (license license:gpl2))) (define-public r-biotmle (package (name "r-biotmle") (version "1.22.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biotmle" version)) (sha256 (base32 "1sbwbz0xdws31lsh46mfcijqmi6rm050r1d6vwii65q686x5j43w")))) (properties `((upstream-name . 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Taxonomic classification is available via a native implementation of the RDP naive Bayesian classifier, and species-level assignment to 16S rRNA gene fragments by exact matching.") (license license:lgpl2.0))) (define-public r-dmrseq (package (name "r-dmrseq") (version "1.18.0") (source (origin (method url-fetch) (uri (bioconductor-uri "dmrseq" version)) (sha256 (base32 "1zx62lbj0am85p0c1vk06s7qf8294vk8yyh67nkiqc7xgqqwybyk")))) (properties `((upstream-name . 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Region-level statistics are obtained by fitting a @dfn{generalized least squares} (GLS) regression model with a nested autoregressive correlated error structure for the effect of interest on transformed methylation proportions.") (license license:expat))) (define-public r-omicade4 (package (name "r-omicade4") (version "1.38.0") (source (origin (method url-fetch) (uri (bioconductor-uri "omicade4" version)) (sha256 (base32 "1w9fsg0r6ir9nmmpf08b1mh8mnrzxk3f398y1w5dg34fdz4phgpg")))) (properties `((upstream-name . "omicade4"))) (build-system r-build-system) (propagated-inputs (list r-ade4 r-biobase r-made4)) (home-page "https://bioconductor.org/packages/omicade4") (synopsis "Multiple co-inertia analysis of omics datasets") (description "This package performes multiple co-inertia analysis of omics datasets.") (license license:gpl2))) (define-public r-omnipathr (package (name "r-omnipathr") (version "3.5.25") (source (origin (method url-fetch) (uri (bioconductor-uri "OmnipathR" version)) (sha256 (base32 "1a0d4vf8i45h1fifswx9lhk6fk0z8sxfnav35psz9kvmxxab9698")))) (properties `((upstream-name . "OmnipathR"))) (build-system r-build-system) (arguments `(#:phases (modify-phases %standard-phases (add-after 'unpack 'set-HOME (lambda _ (setenv "HOME" "/tmp")))))) (propagated-inputs (list r-checkmate r-crayon r-curl r-digest r-dplyr r-httr r-igraph r-jsonlite r-later r-logger r-magrittr r-rmarkdown r-progress r-purrr r-rappdirs r-readr r-readxl r-rlang r-rvest r-stringr r-tibble r-tidyr r-tidyselect r-withr r-xml2 r-yaml)) (native-inputs (list r-knitr)) (home-page "https://saezlab.github.io/OmnipathR/") (synopsis "OmniPath web service client and more") (description "This package provides a client for the OmniPath web service and many other resources. It also includes functions to transform and pretty print some of the downloaded data, functions to access a number of other resources. Furthermore, OmnipathR features a close integration with the NicheNet method for ligand activity prediction from transcriptomics data.") (license license:expat))) (define-public r-biscuiteer (package (name "r-biscuiteer") (version "1.12.0") (source (origin (method url-fetch) (uri (bioconductor-uri "biscuiteer" version)) (sha256 (base32 "1fq2nj0vclpxavqj5qx7jc3ympg00izxn9fpy4mlhyp9l921z13m")))) (properties `((upstream-name . 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(license license:gpl3+))) (define-public r-tricycle (package (name "r-tricycle") (version "1.6.0") (source (origin (method url-fetch) (uri (bioconductor-uri "tricycle" version)) (sha256 (base32 "0b5agqhywg23zxf0f9s1vfbzs7s7ijf9c716s7hwjprxfdz5znvw")))) (properties `((upstream-name . "tricycle"))) (build-system r-build-system) (propagated-inputs (list r-annotationdbi r-circular r-dplyr r-genomicranges r-ggnewscale r-ggplot2 r-iranges r-rcolorbrewer r-s4vectors r-scater r-scattermore r-singlecellexperiment r-summarizedexperiment)) (native-inputs (list r-knitr)) (home-page "https://github.com/hansenlab/tricycle") (synopsis "Transferable representation and inference of cell cycle") (description "The package contains functions to infer and visualize cell cycle process using Single-cell RNA-Seq data. It exploits the idea of transfer learning, projecting new data to the previous learned biologically interpretable space. 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(license license:gpl2))) (define-public r-phyloseq (package (name "r-phyloseq") (version "1.42.0") (source (origin (method url-fetch) (uri (bioconductor-uri "phyloseq" version)) (sha256 (base32 "07zi059v6zwrm31qwc7fmg35fwqlqfb6c30wwj9q4m2y67srnskk")))) (properties `((upstream-name . "phyloseq"))) (build-system r-build-system) (propagated-inputs (list r-ade4 r-ape r-biobase r-biocgenerics r-biomformat r-biostrings r-cluster r-data-table r-foreach r-ggplot2 r-igraph r-multtest r-plyr r-reshape2 r-scales r-vegan)) (native-inputs (list r-knitr)) (home-page "https://github.com/joey711/phyloseq") (synopsis "Handling and analysis of high-throughput microbiome census data") (description "Phyloseq provides a set of classes and tools to facilitate the import, storage, analysis, and graphical display of microbiome census data.") (license license:agpl3))) ;;; ;;; Avoid adding new packages to the end of this file. To reduce the chances ;;; of a merge conflict, place them above by existing packages with similar ;;; functionality or similar names. ;;;