Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically
significant, concordant differences between two biological states
(e.g. phenotypes).

What's New

29-Mar-2022: MSigDB gene sets are now available as JSON bundles. Check our Downloads page for the full collections. Smaller bundles as well as extended metadata in TSV format are available from our Search page.

1-Mar-2022: GSEA 4.2.3 released. There is a new correlation metric (Spearman) and a new collapse mode (Absolute Max), plus better handling of missing values and many other fixes in 4.2.x. Log4J has been removed entirely from the code to avoid vulnerability concerns. All users are encouraged to update! See the release notes for details.

19-Jan-2022: MSigDB 7.5.1 released. Fixed some duplicated gene set names in WikiPathways and added a contributed set missed in the 7.5 release. See the release notes for details.

12-Jan-2022: MSigDB 7.5 released. Updated to gene data from Ensembl 105. Updates to Reactome, GO, HPO, and WikiPathways. Added Human Eye atlas sets from Gautam et al. to C8, and new sets submitted by MSigDB users to C2:CGP. See the release notes for details.

2-Apr-2021: MSigDB 7.4 released. Updates to Reactome and GO. Fixes an issue identified with several C8 sets introduced in 7.3. See the release notes for details.

License Terms

GSEA and MSigDB are available for use under these license terms.

Please register to download the GSEA software, access our web tools, and view the MSigDB gene sets. After registering, you can log in at any time using your email address. Registration is free. Its only purpose is to help us track usage for reports to our funding agencies.

Citing GSEA

To cite your use of the GSEA software, a joint project of UC San Diego and Broad Institute, please reference Subramanian, Tamayo, et al. (2005, PNAS) and Mootha, Lindgren, et al. (2003, Nature Genetics).


GSEA and MSigDB are currently funded by a grant from NCI's Informatics Technology for Cancer Research (ITCR)