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Nucleic Acids Research 2005 33(Web Server Issue):W693-W695; doi:10.1093/nar/gki444
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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

WEBSAGE: a web tool for visual analysis of differentially expressed human SAGE tags

Jean Pylouster*, Catherine Sénamaud-Beaufort and Tula Ester Saison-Behmoaras

Laboratoire de Biophysique, Muséum National d'Histoire Naturelle, INSERM U565-CNRS UMR 5153 43 rue Cuvier 75231, Paris Cedex 05, France

*To whom correspondence should be addressed. Tel: +33 01 40 79 36 95; Fax: +33 01 40 79 37 05; Email: jpylou{at}mnhn.fr

Received February 10, 2005. Revised March 30, 2005. Accepted March 30, 2005.

The serial analysis of gene expression (SAGE) is a powerful method to compare gene expression of mRNA populations. To provide quantitative expression levels on a genome-wide scale, the Cancer Genome Anatomy Project (CGAP) uses SAGE. Over 7 million SAGE tags, from 171 human cell types have been assembled. The growing number of laboratories involved in SAGE research necessitates the use of software that provides statistical analysis of raw data, allowing the rapid visualization and interpretation of results. We have created the first simple tool that performs statistical analysis on SAGE data, identifies the tags differentially expressed and shows the results in a scatter plot. It is freely available and accessible at http://bioserv.rpbs.jussieu.fr/websage/index.php.


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