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Bioinformatics Advance Access published online on July 14, 2005
Bioinformatics, 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@oupjournals.org
Received March 13, 2005
Revised June 13, 2005
Accepted July 11, 2005

Applications note

DEPD: a novel database for differentially expressed protein

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*

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

* To whom correspondence should be addressed.
Song-ping Liang, E-mail: liangsp{at}hunnu.edu.cn


  Abstract

Summary: The Differentially Expressed Protein Database (DEPD) was designed to store the output of comparative proteomics studies and provides a publically available query and analysis platform for data mining. The database contains information about more than 3,000 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 web interface.

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


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