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Bioinformatics. 2013 Aug 15;29(16):2046-8. doi: 10.1093/bioinformatics/btt343. Epub 2013 Jun 18.

GAT: a simulation framework for testing the association of genomic intervals.

Author information

  • 1MRC CGAT Programme and Functional Genomics Unit, MRC Functional Genomics Unit, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK. andreas.heger@dpag.ox.ac.uk

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.

PMID:
23782611
[PubMed - indexed for MEDLINE]
PMCID:
PMC3722528
Free PMC Article
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