To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("edgeR")

In most cases, you don't need to download the package archive at all.

edgeR

Empirical analysis of digital gene expression data in R

Bioconductor version: 2.14

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.

Author: Yunshun Chen <yuchen at wehi.edu.au>, Davis McCarthy <dmccarthy at wehi.edu.au>, Aaron Lun <alun at wehi.edu.au>, Mark Robinson <mark.robinson at imls.uzh.ch>, Xiaobei Zhou <xiaobei.zhou at uzh.ch>, Gordon Smyth <smyth at wehi.edu.au>

Maintainer: Yunshun Chen <yuchen at wehi.edu.au>, Mark Robinson <mark.robinson at imls.uzh.ch>, Davis McCarthy <dmccarthy at wehi.edu.au>, Gordon Smyth <smyth at wehi.edu.au>

Citation (from within R, enter citation("edgeR")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("edgeR")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("edgeR")

 

PDF R Script edgeR Vignette
PDF edgeRUsersGuide.pdf
PDF   Reference Manual
Text   NEWS

Details

biocViews AlternativeSplicing, BatchEffect, Bayesian, ChIPSeq, Clustering, Coverage, DifferentialExpression, DifferentialSplicing, GeneExpression, GeneSetEnrichment, Genetics, MultipleComparison, Normalization, QualityControl, RNASeq, Regression, SAGE, Sequencing, Software, TimeCourse, Transcription
Version 3.6.8
In Bioconductor since BioC 2.3 (R-2.8)
License GPL (>=2)
Depends R (>= 2.15.0), limma
Imports methods
Suggests MASS, statmod, splines, locfit, KernSmooth
System Requirements
URL http://bioinf.wehi.edu.au/edgeR
Depends On Me DBChIP, EDDA, manta, methylMnM, MLSeq, TCC, tRanslatome
Imports Me ampliQueso, ArrayExpressHTS, compcodeR, DiffBind, DSS, easyRNASeq, EDDA, HTSFilter, MEDIPS, metaseqR, msmsTests, Repitools, ReportingTools, rnaSeqMap, tweeDEseq
Suggests Me baySeq, BitSeq, clonotypeR, cqn, EDASeq, gage, GenomicAlignments, GenomicRanges, goseq, GSVA, leeBamViews, oneChannelGUI, pasilla, SSPA

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source edgeR_3.6.8.tar.gz
Windows Binary edgeR_3.6.8.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) edgeR_3.6.8.tgz
Mac OS X 10.9 (Mavericks) edgeR_3.6.8.tgz
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