DESeq2
| DESeq2 | |
|---|---|
| Original authors | Michael Love Constantin Ahlmann-Eltze Kwame Forbes Simon Anders Wolfgang Huber |
| Initial release | 22 March 2013 |
| Stable release | 1.51.6
/ 1 December 2025 |
| Operating system | Linux, macOS, Windows |
| Platform | R programming language |
| Type | Bioinformatics |
| License | GNU Lesser General Public License |
| Website | DESeq2 on Bioconductor |
| Repository | DESeq2 on GitHub |
DESeq2 is a software package in the field of bioinformatics and computational biology for the statistical programming language R. It is primarily employed for the analysis of high-throughput RNA sequencing (RNA-seq) data to identify differentially expressed genes between different experimental conditions. DESeq2 employs statistical methods to normalize and analyze RNA-seq data, making it a valuable tool for researchers studying gene expression patterns and regulation. It is available through the Bioconductor repository.
It was first presented in 2014. As of February 2026, its use has been cited over 86,000 times.