title: Protein Information Crawler (PIC): extensive spidering of multiple protein information resources for large protein sets.
abstract: Proteomic studies often produce sets of hundreds of proteins. Bioinformatic information for these large protein sets must be collected from multiple online resources. Protein Information Crawler (PIC) automatically bulk-collects such data from multiple databases and prediction servers, based on National Center for Biotechnology Information (NCBI) gi numbers or accession numbers, and summarizes them in a Microsoft Excel spreadsheet and/or HTML table. PIC greatly accelerates information procurement, helps to build customized protein information databases and drastically reduces manual database investigation in extensive proteomic studies.
  
  
  BACKGROUND
  http://www.zoo.uni-heidelberg.de/mfa/PIC.
authors: Department of Molecular Physiology, Institute of Zoology, University of Heidelberg, Germany. mayer@uni-hd.de
authors: Ulrich
authors: U
authors: Mayer
mesh_terms: D019295:Computational Biology; D030562:Databases, Protein; D020407:Internet; D011506:Proteins / Q000737:chemistry* / Q000145:classification; D016415:Sequence Alignment; D012984:Software
chemical_list: D011506:Proteins