Package: DESeq2
Type: Package
Title: Differential gene expression analysis based on the negative
        binomial distribution
Version: 1.24.0
Author: Michael Love, Simon Anders, Wolfgang Huber
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, genefilter,
        methods, locfit, geneplotter, ggplot2, Hmisc, Rcpp (>= 0.11.0)
Depends: R (>= 3.5.0), S4Vectors (>= 0.9.25), IRanges, GenomicRanges,
        SummarizedExperiment (>= 1.1.6)
Suggests: testthat, knitr, rmarkdown, vsn, pheatmap, RColorBrewer, IHW,
        apeglm, ashr, tximport, tximportData, readr, pbapply, airway,
        pasilla (>= 0.2.10)
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/mikelove/DESeq2
biocViews: Sequencing, RNASeq, ChIPSeq, GeneExpression, Transcription,
        Normalization, DifferentialExpression, Bayesian, Regression,
        PrincipalComponent, Clustering, ImmunoOncology
RoxygenNote: 6.1.0
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/DESeq2
git_branch: RELEASE_3_9
git_last_commit: 3ce7fbb
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: yes
Packaged: 2019-05-03 01:30:11 UTC; biocbuild
Built: R 3.6.0; x86_64-apple-darwin15.6.0; 2019-05-03 14:25:37 UTC; unix
