Kristen Fortney, M. Kotlyar, I. Jurisica
Feb 3, 2010
Citations
299
Influential Citations
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Citations
Quality indicators
Journal
Genome Biology
Abstract
We present GOseq, an application for performing Gene Ontology (GO) analysis on RNA-seq data. GO analysis is widely used to reduce complexity and highlight biological processes in genome-wide expression studies, but standard methods give biased results on RNA-seq data due to over-detection of differential expression for long and highly expressed transcripts. Application of GOseq to a prostate cancer data set shows that GOseq dramatically changes the results, highlighting categories more consistent with the known biology.