DEPD: a novel database for differentially expressed proteins

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 ext...

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Veröffentlicht in:	Bioinformatics 2005-09, Vol.21 (18), p.3694-3696
Hauptverfasser:	He, Quan-Yuan, Cao, Jing, Liu, Xiang-Hua, Li, Miao-Xin, Liu, Yi-Song, Xie, Jin-Yun, Liang, Song-Ping
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Computational Biology - instrumentation Computational Biology - methods Databases, Protein Fundamental and applied biological sciences. Psychology General aspects Humans Information Storage and Retrieval Internet Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Programming Languages Proteomics - methods Sequence Analysis, Protein Software User-Computer Interface
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Beschreibung
Zusammenfassung:	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@hunnu.edu.cn
ISSN:	1367-4803 1460-2059 1367-4811
DOI:	10.1093/bioinformatics/bti580