DESeq2 is a tool for differential gene expression analysis of RNA-seq data. DESeq2 is a new version of DESeq and can detect more differentially expressed genes (DEGs) than DESeq2. However, it also seems to allow more false positives. The DESeq2 algorithm uses the negative binomial distribution, the Wald, and the Likelihood Ratio Tests.
Operation: Differential gene expression analysis
Software interface: Command-line user interface
License: GNU Lesser General Public License v>=3
Version name: 1.26.0
Credit: The International Max Planck Research School for Computational Biology and Scientific Computing, National Institutes of Health (NIH), the European Union’s 7th Framework Programme (Health).
Contact: Michael Love michaelisaiahlove at gmail.com
- Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
- Love MI, et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. 2014; 15:550. doi: 10.1186/s13059-014-0550-8
- PMID: 25516281
- PMC: PMC4302049
Download and documentation
Home page: http://bioconductor.org/packages/DESeq2/
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