DEPD: a novel database for differentially expressed proteins | Zendy

Quanyuan He | Zendy; Jing Cao | Zendy; Xiang-hua Liu | Zendy; Miaoxin Li | Zendy; Yisong Liu | Zendy; Jin-Yun Xie | Zendy; Songping Liang | Zendy

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DEPD: a novel database for differentially expressed proteins

Author(s) -

Quanyuan He,

Jing Cao,

Xiang-hua Liu,

Miaoxin Li,

Yisong Liu,

Jin-Yun Xie,

Songping Liang

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti580

Subject(s) - computer science , computational biology , database , biology

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.

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