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

6-Jun-2025: MSigDB 2025.1 introduces the Mouse M7 collection of immunologic signature gene sets, comprising 787 sets curated from the Mouse Immune Dictionary (Cui et al. 2023). It also provides collection updates for GO, Reactome, and WikiPathways, along with numerous new set additions for the Human and Mouse databases. Gene data has been updated to Ensembl 114. See the Human and Mouse release notes for details.

8-Mar-2025: GSEA 4.4.0 released. This release updates GSEA for Java 21. It also addresses some issues launching on recent versions of MacOS. The algorithm and essential functionality remain unchanged. See the release notes for details.

9-Aug-2024: MSigDB 2024.1 provides collection updates for GO, Reactome, WikiPathways, and numerous new set additions for the Human and Mouse databases. Additionally, gene data has been updated to Ensembl 112. See the Human and Mouse release notes for details.

6-Feb-2024: GSEA 4.3.3 released. This is a minor release to update the OpenJDK distribution included in the platform bundles, to pick up recent OpenJDK improvements, bug fixes, and security patches. See the release notes for details.

20-Oct-2023: MSigDB 2023.2 released. Introducing new subcollections from KEGG_MEDICUS and the Curated Cancer Cell Atlas (3CA), plus new user-submitted sets for C2 and M2 CGP. Updated with gene data from Ensembl 110. Human and Mouse collections for Reactome, GO, and WikiPathways have been updated. See the Human and Mouse release notes for details.

13-Sep-2023: Our new publication describing the development of our Mouse-native MSigDB Collections is out now in Nature Methods! Go check it out!


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)