title: DEPD: a novel database for differentially expressed proteins.
abstract: 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/.
authors: College of Life Science, Hunan Normal University, Changsha 410081, People's Republic of China.
authors: Quan-Yuan
authors: QY
authors: He
authors: Jing
authors: J
authors: Cao
authors: Xiang-Hua
authors: XH
authors: Liu
authors: Miao-Xin
authors: MX
authors: Li
authors: Yi-Song
authors: YS
authors: Liu
authors: Jin-Yun
authors: JY
authors: Xie
authors: Song-Ping
authors: SP
authors: Liang
mesh_terms: 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