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Nucleic Acids Research 2006 34(Web Server issue):W492-W497; doi:10.1093/nar/gkl067
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© The Author 2006. 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@oxfordjournals.org

Article

GEPS: the Gene Expression Pattern Scanner

Yu-Peng Wang1, Liang Liang1, Bu-Cong Han1, Yu Quan1, Xiao Wang1, Tao Tao1 and Zhi-Liang Ji1,2,*

1 Key Laboratory for Cell Biology and Tumor Cell Engineering, the Ministry of Education of China, School of Life Sciences Xiamen University Xiamen 361005, Fujian, People's Republic of China 2 The Key Laboratory for Chemical Biology of Fujian Provinve Xiamen University Xiamen 361005, FuJian Province, People's Republic of China

*To whom correspondence should be addressed. Tel: +86 0592 2182897; Fax: +86 0592 2181015; Email: appo{at}bioinf.xmu.edu.cn

Received January 17, 2006. Revised January 31, 2006. Accepted March 1, 2006.

Gene Expression Pattern Scanner (GEPS) is a web-based server to provide interactive pattern analysis of user-submitted microarray data for facilitating their further interpretation. Putative gene expression patterns such as correlated expression, similar expression and specific expression are determined globally and systematically using geometric comparison and correlation analysis methods. These patterns can be visualized via linear plot with quantitative measures. User-defined threshold value is allowed to customize the format of the pattern search results. For better understanding of gene expression, patterns derived from 329 205 non-redundant gene expression records from the GNF SymAltas and the Gene Expression Omnibus are also provided. These profiles cover 24 277 human genes in 79 tissues, 32 905 mouse genes in 61 tissues and 4201 rat genes in 44 tissues. GEPS is available at http://bioinf.xmu.edu.cn/software/geps/geps.php.


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