Package: DESeq2
Type: Package
Title: Differential gene expression analysis based on the negative
        binomial distribution
Version: 1.48.0
Authors@R: c(
    person("Michael", "Love", email="michaelisaiahlove@gmail.com", role = c("aut","cre")),
    person("Constantin", "Ahlmann-Eltze", role = c("ctb")),
    person("Kwame", "Forbes", role = c("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 <michaelisaiahlove@gmail.com>
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: 7.3.1
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/DESeq2
git_branch: RELEASE_3_21
git_last_commit: 8848ef8
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.21
Date/Publication: 2025-04-15
NeedsCompilation: yes
Packaged: 2025-04-16 00:13:57 UTC; biocbuild
Author: Michael Love [aut, cre],
  Constantin Ahlmann-Eltze [ctb],
  Kwame Forbes [ctb],
  Simon Anders [aut, ctb],
  Wolfgang Huber [aut, ctb],
  RADIANT EU FP7 [fnd],
  NIH NHGRI [fnd],
  CZI [fnd]
Built: R 4.5.0; x86_64-w64-mingw32; 2025-04-16 14:19:22 UTC; windows
Archs: x64
