GESS

(Version 1)

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

The GESS algorithm was published by:

Sigoillot FD, Lyman S, Huckins JF, Adamson B, Chung E, Quattrochi B, King RW

Nat Methods. 2012 Feb 19;9(4):363-6. doi: 10.1038/nmeth.1898.

A Bioinformatics Method Identifies Prominent Off-targeted Transcripts in RNAi Screens

Online GESS was published by:

Yilmazel B, Hu Y, Sigoillot F, Smith JA, Shamu CE, Perrimon N, Mohr SE

BMC Bioinformatics. 2014 Jun 17;15(1):192.

Online GESS: prediction of miRNA-like off-target effects in large-scale RNAi screen data by seed region analysis.

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