Gene ontology analysis for RNA-seq: accounting for selection bias
Details
Publication Year 2010,Volume 11,Issue #2,Page R14
Journal Title
GENOME BIOLOGY
Publication Type
Journal Article
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.
Publisher
BIOMED CENTRAL LTD
Keywords
ENRICHMENT ANALYSIS; PROSTATE-CANCER; BIOLOGY; GENOME; BRAIN; TOOL
WEHI Research Division(s)
Bioinformatics
Terms of Use/Rights Notice
© 2010 Young et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Creation Date: 2010-01-01 12:00:00
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