Package: edgeR
Version: 2.2.6
Date: 2011/10/13
Title: Empirical analysis of digital gene expression data in R
Author: Mark Robinson <mrobinson@wehi.edu.au>, Davis McCarthy
        <dmccarthy@wehi.edu.au>, Gordon Smyth <smyth@wehi.edu.au>
Maintainer: Mark Robinson <mrobinson@wehi.edu.au>, Davis McCarthy
        <dmccarthy@wehi.edu.au>, Gordon Smyth <smyth@wehi.edu.au>
Depends: R (>= 2.3.0), methods
Imports: limma
Suggests: MASS, statmod, splines
biocViews: Bioinformatics, DifferentialExpression, SAGE,
        HighThroughputSequencing, RNAseq
Description: Differential expression analysis of RNA-seq and digital
        gene expression profiles with biological replication.  Uses
        empirical Bayes estimation and exact tests based on the
        negative binomial distribution.  Also useful for differential
        signal analysis with other types of genome-scale count data.
License: LGPL (>= 2)
Packaged: 2011-10-13 19:22:39 UTC; biocbuild
Built: R 2.13.2; ; 2011-10-14 01:01:40 UTC; windows
