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GAT: A simulation framework for testing the association of genomic intervals

Heger, Andreas, Webber, Caleb, Goodson, Martin, Ponting, Chris P. and Lunter, Gerton 2013. GAT: A simulation framework for testing the association of genomic intervals. Bioinformatics 29 (16) , pp. 2046-2048. 10.1093/bioinformatics/btt343

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Abstract

Motivation: A common question in genomic analysis is whether two sets of genomic intervals overlap significantly. This question arises, for example, when interpreting ChIP-Seq or RNA-Seq data in functional terms. Because genome organization is complex, answering this question is non-trivial. Summary: We present Genomic Association Test (GAT), a tool for estimating the significance of overlap between multiple sets of genomic intervals. GAT implements a null model that the two sets of intervals are placed independently of one another, but allows each set’s density to depend on external variables, for example, isochore structure or chromosome identity. GAT estimates statistical significance based on simulation and controls for multiple tests using the false discovery rate. Availability: GAT’s source code, documentation and tutorials are available at http://code.google.com/p/genomic-association-tester.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Medicine
Publisher: Oxford University Press
ISSN: 1367-4803
Date of First Compliant Deposit: 22 October 2020
Date of Acceptance: 7 June 2013
Last Modified: 22 Oct 2020 15:30
URI: http://orca-mwe.cf.ac.uk/id/eprint/135777

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