| URL: | http://protchem.hunnu.edu.cn/depd |
| Full name: | The Differentially Expressed Protein Database |
| Description: | 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. |
| Year founded: | 2005 |
| Last update: | |
| Version: | |
| Accessibility: |
Unaccessible
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| Country/Region: | China |
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| University/Institution: | Hunan Normal University |
| Address: | College of Life Science, Hunan Normal University, Changsha 410081, People's Republic of China. |
| City: | Changsha |
| Province/State: | Hunan |
| Country/Region: | China |
| Contact name (PI/Team): | Song-Ping Liang |
| Contact email (PI/Helpdesk): | liangsp@hunnu.edu.cn |
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DEPD: a novel database for differentially expressed proteins. [PMID: 16020467]
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. |