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GBA server: EST-based digital gene expression profiling
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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