Open AccessGAT: a simulation framework for testing the association of genomic intervals
Author(s) -
Andreas Heger,
Caleb Webber,
Martin Goodson,
Chris P. Ponting,
Gerton Lunter
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt343
Subject(s) - code (set theory) , false discovery rate , set (abstract data type) , computer science , null hypothesis , statistical hypothesis testing
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.
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