# Source: r-bioc-edger
# Package: r-bioc-edger
# Versions: r-bioc-edger (4.10.1+dfsg-1)
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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.
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# Description-id: 82733 https://ddtp.debian.org/ddt.cgi?desc_id=82733
# patch https://ddtp.debian.org/ddt.cgi?diff1=82733&diff2=327406&language=it
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