#  Online GESS 

 



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## Description

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.

## URL

<http://www.flyrnai.org/gess/>

## Version

1.0

## Tutorial

## [\[\[{"fid":"667576","view\_mode":"default","type":"media","attributes":{"height":"315","width":"420","class":"wysiwyg-placeholder media-element file-default"}}\]\]](/<iframe%20width=)

##   
Documentation


Please see the [Online GESS documentation page](/online-gess-documentation).

## 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](http://www.ncbi.nlm.nih.gov/pubmed/22343343)

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