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Nucleic Acids Research 2005 33(Web Server Issue):W673-W676; doi:10.1093/nar/gki480
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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

GBA server: EST-based digital gene expression profiling

Xin Wu1, Michael G. Walker2,3, Jingchu Luo1 and Liping Wei1,2,*

1Center for Bioinformatics, National Laboratory of Protein Engineering and Plant Genetic Engineering, College of Life Sciences, Peking University Beijing 100871, P. R. China 2Biomedical Informatics, Department of Medicine, Stanford University School of Medicine Stanford, CA 94305, USA 3Walker Bioscience Sunnyvale, CA, USA

*To whom correspondence should be addressed. Tel: +86 10 6276 4970; Fax: +86 10 6275 2438; Email: weilp{at}mail.cbi.pku.edu.cn

Received February 14, 2005. Revised April 15, 2005. Accepted April 15, 2005.

Expressed Sequence Tag-based gene expression profiling can be used to discover functionally associated genes on a large scale. Currently available web servers and tools focus on finding differentially expressed genes in different samples or tissues rather than finding co-expressed genes. To fill this gap, we have developed a web server that implements the GBA (Guilt-by-Association) co-expression algorithm, which has been successfully used in finding disease-related genes. We have also annotated UniGene clusters with links to several important databases such as GO, KEGG, OMIM, Gene, IPI and HomoloGene. The GBA server can be accessed and downloaded at http://gba.cbi.pku.edu.cn.


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