Package: DESeq2 Type: Package Title: Differential gene expression analysis based on the negative binomial distribution Version: 1.53.0 Authors@R: c( person("Michael", "Love", email="michaelisaiahlove@gmail.com", role = c("aut","cre")), person("Constantin", "Ahlmann-Eltze", role = "ctb"), person("Anqi", "Zhu", role = "ctb"), person("Nikolaos", "Ignatiadis", role = "ctb"), person("Raphael", "Rossellini", role = "ctb"), person("Kwame", "Forbes", role = "ctb"), person("Simon", "Anders", role = c("aut","ctb")), person("Wolfgang", "Huber", role = c("aut","ctb")), person("RADIANT EU FP7", role="fnd"), person("NIH NHGRI", role="fnd"), person("CZI", role="fnd")) Maintainer: Michael Love Description: Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution. License: LGPL (>= 3) VignetteBuilder: knitr, rmarkdown Imports: BiocGenerics (>= 0.7.5), Biobase, BiocParallel, matrixStats, methods, stats4, locfit, ggplot2 (>= 3.4.0), Rcpp (>= 0.11.0), MatrixGenerics Depends: S4Vectors (>= 0.23.18), IRanges, GenomicRanges, SummarizedExperiment (>= 1.1.6) Suggests: testthat, knitr, rmarkdown, vsn, pheatmap, RColorBrewer, apeglm, ashr, tximport, tximeta, tximportData, readr, pbapply, airway, glmGamPoi, BiocManager LinkingTo: Rcpp, RcppArmadillo URL: https://github.com/thelovelab/DESeq2 biocViews: Sequencing, RNASeq, ChIPSeq, GeneExpression, Transcription, Normalization, DifferentialExpression, Bayesian, Regression, PrincipalComponent, Clustering, ImmunoOncology RoxygenNote: 7.3.3 Encoding: UTF-8 Config/pak/sysreqs: zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:37:22 UTC RemoteUrl: https://github.com/bioc/DESeq2 RemoteRef: HEAD RemoteSha: e0580b85962bb576b19f2583ea1a4dc7b1b8862e NeedsCompilation: yes Packaged: 2026-06-23 15:12:29 UTC; root Author: Michael Love [aut, cre], Constantin Ahlmann-Eltze [ctb], Anqi Zhu [ctb], Nikolaos Ignatiadis [ctb], Raphael Rossellini [ctb], Kwame Forbes [ctb], Simon Anders [aut, ctb], Wolfgang Huber [aut, ctb], RADIANT EU FP7 [fnd], NIH NHGRI [fnd], CZI [fnd]