To install this package, start R and enter:


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


RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods

Bioconductor version: 2.14

This package provides extensive functionality for comparing results obtained by different methods for differential expression analysis of RNAseq data. It also contains functions for simulating count data and interfaces to several packages for performing the differential expression analysis.

Author: Charlotte Soneson

Maintainer: Charlotte Soneson <Charlotte.Soneson at>

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


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 compcodeR
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, RNASeq, Software
Version 1.0.0
In Bioconductor since BioC 2.14 (R-3.1)
License GPL (>= 2)
Depends R (>= 3.0.2), sm
Imports tcltk, knitr (>= 1.2), markdown, ROCR, lattice (>= 0.16), gplots, gtools, gdata, caTools, grid, KernSmooth, MASS, ggplot2, stringr, modeest, edgeR, limma, vioplot, methods
Suggests BiocStyle, EBSeq, DESeq, DESeq2(>= 1.1.31), baySeq(>= 1.16.0), genefilter, NOISeq, DSS, TCC, samr, NBPSeq, HTSDiff
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source compcodeR_1.0.0.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) compcodeR_1.0.0.tgz
Mac OS X 10.9 (Mavericks) compcodeR_1.0.0.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