edgeR

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see edgeR.

Empirical Analysis of Digital Gene Expression Data in R

Bioconductor version: 3.6

Differential expression analysis of RNA-seq expression profiles with biological replication. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. As well as RNA-seq, it be applied to differential signal analysis of other types of genomic data that produce counts, including ChIP-seq, Bisulfite-seq, SAGE and CAGE.

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

Maintainer: Yunshun Chen <yuchen at wehi.edu.au>, Aaron Lun <alun 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 (version "3.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("edgeR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("edgeR")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	AlternativeSplicing, BatchEffect, Bayesian, ChIPSeq, Clustering, Coverage, DNAMethylation, DifferentialExpression, DifferentialMethylation, DifferentialSplicing, GeneExpression, GeneSetEnrichment, Genetics, MultipleComparison, Normalization, Pathways, QualityControl, RNASeq, Regression, SAGE, Sequencing, Software, TimeCourse, Transcription
Version	3.20.9
In Bioconductor since	BioC 2.3 (R-2.8) (15.5 years)
License	GPL (>=2)
Depends	R (>= 2.15.0), limma(>= 3.34.5)
Imports	graphics, stats, utils, methods, locfit, Rcpp
System Requirements	C++11
URL	http://bioinf.wehi.edu.au/edgeR

Suggests	AnnotationDbi, org.Hs.eg.db, splines
Linking To	Rcpp
Enhances
Depends On Me	ASpli, DBChIP, EDDA, IntEREst, manta, methylMnM, MLSeq, RnaSeqGeneEdgeRQL, RnaSeqSampleSizeData, RUVSeq, samExploreR, TCC, tRanslatome
Imports Me	affycoretools, ampliQueso, anota2seq, ArrayExpressHTS, baySeq, compcodeR, coseq, csaw, debrowser, DEFormats, DEGreport, DEsubs, DiffBind, diffHic, diffloop, DRIMSeq, easyRNASeq, EBSEA, EDDA, eegc, EGSEA, EnrichmentBrowser, erccdashboard, Glimma, HTSFilter, IsoformSwitchAnalyzeR, MEDIPS, metaseqR, MIGSA, msgbsR, msmsTests, PathoStat, PROPER, psichomics, PureCN, regsplice, Repitools, ReportingTools, rnaSeqMap, RnaSeqSampleSize, scater, scde, scone, scran, splatter, STATegRa, SVAPLSseq, systemPipeR, TCGAbiolinks, TCseq, ToPASeq, tweeDEseq, yarn, zinbwave
Suggests Me	ABSSeq, biobroom, BitSeq, ClassifyR, clonotypeR, cqn, cydar, EDASeq, gage, gCrisprTools, GenomicAlignments, GenomicRanges, goseq, groHMM, GSAR, GSVA, ideal, JctSeqData, leeBamViews, missMethyl, multiMiR, oneChannelGUI, regionReport, SSPA, stageR, subSeq, tximport, variancePartition, zFPKM
Links To Me
Build Report	Build Report

Package Archives

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

Source Package	edgeR_3.20.9.tar.gz
Windows Binary	edgeR_3.20.9.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	edgeR_3.20.9.tgz
Source Repository	git clone https://git.bioconductor.org/packages/edgeR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/edgeR
Package Short Url	https://bioconductor.org/packages/edgeR/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive