Source: r-bioc-edger
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 14),
 dh-r,
 r-base-dev,
 r-bioc-limma (>= 3.63.6),
 r-cran-locfit,
 r-pkg-team-core-architecture,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-edger
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-edger.git
Homepage: https://bioconductor.org/packages/edgeR/

Package: r-bioc-edger
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
 r-pkg-team-core-architecture,
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Empirical Analysis of Digital Gene Expression Data in R
 Differential expression analysis of sequence count data.
 Implements a range of statistical methodology based on the negative
 binomial distributions, including empirical Bayes estimation, exact tests,
 generalized linear models, quasi-likelihood, and gene set enrichment.
 Can perform differential analyses of any type of omics data that produces
 read counts, including RNA-seq, ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE, CAGE,
 metabolomics, or proteomics spectral counts. RNA-seq analyses can be conducted
 at the gene or isoform level, and tests can be conducted for differential exon
 or transcript usage.