PubMed · 16020467
DEPD: a novel database for differentially expressed proteins.
Abstract
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/.
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Quan-Yuan He, Jing Cao, Xiang-Hua Liu, Miao-Xin Li, Yi-Song Liu, Jin-Yun Xie, Song-Ping Liang. 2005-07-14. DEPD: a novel database for differentially expressed proteins.. https://doi.org/10.1093/bioinformatics%2Fbti580
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