DEPD: a novel database for differentially expressed proteins.
CONCLUSIONS
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.


BACKGROUND
http://protchem.hunnu.edu.cn/depd/.
He
Quan-Yuan
QY
College of Life Science, Hunan Normal University, Changsha 410081, People's Republic of China.
Cao
Jing
J
Liu
Xiang-Hua
XH
Li
Miao-Xin
MX
Liu
Yi-Song
YS
Xie
Jin-Yun
JY
Liang
Song-Ping
SP
D019295:Computational Biology / Q000295:instrumentation / Q000379:methods*; D030562:Databases, Protein; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D011381:Programming Languages; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein; D012984:Software; D014584:User-Computer Interface