Overview

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

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.

23-Dec-2021: GSEA 4.2.1 released. This updates Log4J to 2.17.0 to avoid concerns of vulnerabilities in earlier Log4J versions. All users are encouraged to update! See the release notes for details.

16-Dec-2021: GSEA 4.2.0 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. Updated to Log4J 2.16.0 to avoid concerns of vulnerabilities in earlier Log4J versions. 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.

22-Mar-2021: MSigDB 7.3 released. This release includes a reorganization of C7 to accommodate the addition of a vaccine response signatures subcollection, a substantial addition of new cell type signatures to C8, and other minor updates and additions. 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).

Funding

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