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Nucleic Acids Research 2005 33(Web Server Issue):W638-W643; doi:10.1093/nar/gki490
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© The Author 2005. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oupjournals.org

Article

RACE: Remote Analysis Computation for gene Expression data

Michael Psarros, Steffen Heber1, Manuela Sick, Gnanasekaran Thoppae, Keith Harshman and Beate Sick*

DNA Array Facility, Center for Integrative Genomics, University of Lausanne Lausanne, Switzerland 1Bioinformatics Research Center, North Carolina State University Raleigh, NC, USA

*To whom correspondence should be addressed. Tel: +1 41 21 692 3909; Fax: +1 41 21 692 3905; Email: Beate.Sick{at}unil.ch

Received February 14, 2005. Revised April 12, 2005. Accepted April 25, 2005.

The Remote Analysis Computation for gene Expression data (RACE) suite is a collection of bioinformatics web tools designed for the analysis of DNA microarray data. RACE performs probe-level data preprocessing, extensive quality checks, data visualization and data normalization for Affymetrix GeneChips. In addition, it offers differential expression analysis on normalized expression levels from any array platform. RACE estimates the false discovery rates of lists of potentially regulated genes and provides a Gene Ontology-term analysis tool for GeneChip data to support the biological interpretation and annotation of results. The analysis is fully automated but can be customized by flexible parameter settings. To offer a convenient starting point for subsequent analyses, and to provide maximum transparency, the R scripts used to generate the results can be downloaded along with the output files. RACE is freely available for use at http://race.unil.ch.


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