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Bioinformatics Advance Access originally published online on July 14, 2005
Bioinformatics 2005 21(18):3694-3696; doi:10.1093/bioinformatics/bti580
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

DEPD: a novel database for differentially expressed proteins

Quan-Yuan He 1, Jing Cao 1, Xiang-Hua Liu 2, Miao-Xin Li 3, Yi-Song Liu 1, Jin-Yun Xie 1 and Song-Ping Liang 1,*

1College of Life Science, Hunan Normal University Changsha 410081, People's Republic of China
2State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University Handan Road 220, Shanghai 200433, People's Republic of China
3Shanghai Center for Bioinformation Technology (SCBIT) 100 Qinzhou Road, 12th Floor Shanghai 200235, People's Republic of China

*To whom correspondence should be addressed.

Summary: The Differentially Expressed Protein Database was designed to store the output of comparative proteomics studies and provides a publicly available query and analysis platform for data mining. The database contains information about more than 3000 differentially expressed proteins (DEPs) manually extracted from the published literature, including relevant biological, experimental and methodological elements. Tools for visualization and functional analysis of DEPs are provided via a user-friendly webinterface.

Availability: http://protchem.hunnu.edu.cn/depd/

Contact: liangsp{at}hunnu.edu.cn

Received on March 13, 2005; revised on June 13, 2005; accepted on July 11, 2005

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