Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically
16-Oct-2013: Due to a system-wide outage at the Broad Institute, the GSEA/MSigDB web site, FTP server and help email will be offline from 12:01 am Thursday, October 17 to late Sunday, October 20
05-Jun-2013: Version 4.0 of the Molecular Signatures Database (MSigDB) is now available, which includes a new gene set collection (C7) of 1,910 immunologic signatures generated as part of the Human Immunology Project Consortium. We also released a newer version (2.0.13) of the GSEA desktop application. There were no changes to the GSEA algorithm.
29-May-2013: GSEA and MSigDB may experience intermittent connectivity issues on Monday, June 3rd between the hours of 6AM and 9AM (Eastern Time).
08-Apr-2013: Version 2.0.12 of the GSEA desktop application is now available. Version 3.87 of the public web site is now available, which includes a number of bug fixes and enhancements of the Compute Overlaps tool. Please refer to the release notes for further details.
17-Jan-2013: Version 2.0.10 of the GSEA desktop application is now available. This version fixes recent FTP access issues.
15-Oct-2012: Version 3.1 of the Molecular Signatures Database (MSigDB) is now available. Highlights include:
01-Oct-2012: We recently submitted a manuscript to Statistical Methods in Medical Research which provides a systematic comparison of the GSEA method with other methods employing a "simpler" t-test assessment of enrichment.
01-Oct-2012: We now have a CiteULike page where users can browse a list of all citations of the GSEA algorithm.
Please register to download the GSEA software 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.
GSEA and MSigDB are maintained by the GSEA team with the support of our MSigDB Scientific Advisory Board. Our thanks to our many contributors. Funded by: National Cancer Institute, National Institutes of Health, National Institute of General Medical Sciences.