Supported Applications

DESeq2

Description

a Bioconductor software package installed in R 3.2.2 that estimates variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.
Primary Citation*

M. I. Love, W. Huber, and S. Anders. 2014. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. 15(12): 550.
- *Full citation information available through

Keywords

Bioconductor Packages, High-throughput sequencing, Normalization/Differential Expression, RNA-Sequencing
Default Versions

Linux 64: 1.10.0 (1.3 KB)
OS X INTEL: 1.10.0 (1.2 KB)
Developers

Simon Anders, Michael Love, Wolfgang Huber