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

19-Sep-2020: MSigDB 7.2 released. This release includes a substantial reorganization of C5 to accommodate the addition of the Human Phenotype Ontology, the addition of gene sets from WikiPathways to C2:CP, and the promotion of SCSig to C8, among other minor updates and additions. See the release notes for details.

30-Jul-2020: GSEA 4.1.0 released. This release includes improved support for macOS Catalina, updated and improved Enrichment Reports, and numerous bug fixes. See the release notes for more information.

30-Mar-2020: MSigDB 7.1 released. New C3 sub-collections from the Gene Transcription Regulation Database and miRDB. Updated gene sets from Reactome 72 and GO (as of Jan 15, 2020). Gene annotations updated to Ensembl 99. See the release notes for details.

28-Feb-2020: We've added a new integration to the NDExProject IQuery tool on our Investigate Gene Sets page. To use it from a Gene Set just click on the Advanced query 'Further investigate' link.

20-Aug-2019: MSigDB 7.0 released. This is a major release that includes a complete overhaul of gene symbol annotations, Reactome and GO gene sets, and corrections to miscellaneous errors. See the release notes for more information.

20-Aug-2019: GSEA 4.0.0 released. This release includes support for MSigDB 7.0, plus major internal updates for Java 11 support and performance improvements. See the release notes for more information.

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 102, 15545-15550) and Mootha, Lindgren, et al. (2003, Nat Genet 34, 267-273).


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