Volume 12 Supplement 7
categoryCompare: high-throughput data meta-analysis using gene annotations
© Flight et al; licensee BioMed Central Ltd. 2011
Published: 5 August 2011
We describe a meta-analysis approach that allows comparison and contrast of gene lists at the level of categorical annotation (pathway or Gene Ontology annotations). This categorical evaluation compares enriched annotations between gene lists (Figure 1B), and displays the results graphically to allow intuitive visualization and exploration of the similarities and differences. False discovery correction via simulation is implemented to control for the effect of different sized gene lists as inputs.
The approach was tested using two gene lists, genes involved in the response to denervation in muscle (a literature compendium), and in skin (experimentally determined). Using the categorical comparison highlights known biological processes that are common in the two cases, while also allowing one to easily see areas of difference that are not apparent from examining the gene lists alone.
categoryCompare is available as a Bioconductor package, and a web interface (using RApache) has also been developed to facilitate use in the wider research community.
The authors gratefully acknowledge the Christopher and Dana Reeve Foundation, KY Spinal Cord and Head Injury Research Trust, the Paralyzed Veterans of America, and NIH Grants: P20RR016481-10, P20RR016481-09S1, P30ES014443-04 for funding.
This article is published under license to 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.