Online GESS


Genome-wide Enrichment of Seed Sequence matches (GESS) was originally developed by Sigoillot, King, and colleagues for analysis of RNAi screen data sets. The approach is useful to identify candidate off-targeted transcripts from direct analysis of primary screening data. This online version of the tool supports siRNA or shRNA reagent sequence information for analysis of human, mouse and Drosophila RNAi screen data.






Please see the Online GESS documentation page.

Additional Resources

We recommend the original GESS algorithm publication: Sigoillot FD, Lyman S, Huckins JF, Adamson B, Chung E, Quattrochi B, King RW.  A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens. Nat Methods. 2012 Feb 19;9(4):363-6. PubMed ID: 22343343

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Publication to cite for the online tool