To install this package, start R and enter:


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


Count summarization and normalization for RNA-Seq data.

Bioconductor version: Release (3.0)

Calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as 'RPKM' or by the 'DESeq' or 'edgeR' package.

Author: Nicolas Delhomme, Ismael Padioleau, Bastian Schiffthaler

Maintainer: Nicolas Delhomme <delhomme at>

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


To install this package, start R and enter:



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



PDF R Script easyRNASeq
PDF   Reference Manual
Text   NEWS


biocViews GeneExpression, Genetics, Preprocessing, RNASeq, Software
Version 2.2.1
In Bioconductor since BioC 2.10 (R-2.15)
License Artistic-2.0
Imports Biobase(>= 2.26.0), BiocGenerics(>= 0.12.1), biomaRt(>= 2.22.0), Biostrings(>= 2.34.1), DESeq(>= 1.18.0), edgeR(>= 3.8.5), genomeIntervals(>= 1.22.0), GenomicAlignments(>= 1.2.1), GenomeInfoDb(>= 1.2.4), GenomicRanges(>= 1.18.4), graphics, IRanges(>= 2.0.1), LSD (>= 3.0), methods, parallel, Rsamtools(>= 1.18.2), S4Vectors(>= 0.4.0), ShortRead(>= 1.24.0), utils
Suggests BiocStyle(>= 1.4.1), BSgenome(>= 1.34.1), BSgenome.Dmelanogaster.UCSC.dm3(>= 1.4.0), GenomicFeatures(>= 1.18.3), RnaSeqTutorial(>= 0.3.1), RUnit (>= 0.4.28)
Depends On Me RnaSeqTutorial
Imports Me
Suggests Me SeqGSEA

Package Archives

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

Package Source easyRNASeq_2.2.1.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) easyRNASeq_2.2.1.tgz
Mac OS X 10.9 (Mavericks) easyRNASeq_2.2.1.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center