Informatics and data management in proteomics.
Proteomics has become dominated by large amounts of experimental data and interpreted results. This experimental data cannot be effectively used without understanding the fundamental structure of its information content and representing that information in such a way that knowledge can be extracted from it. This review explores the structure of this information with regard to three fundamental issues: the extraction of relevant information from raw data, the scale of the projects involved and the statistical significance of protein identification results.
Fenyö
David
D
Proteometrics LLC, PO Box 984, New York, NY 10014, USA. dfenyo@proteome.ca
Beavis
Ronald C
RC
D000465:Algorithms; D002851:Chromatography, High Pressure Liquid; D019295:Computational Biology / Q000379:methods* / Q000639:trends*; D019992:Databases as Topic; D015180:Electrophoresis, Gel, Two-Dimensional; D013058:Mass Spectrometry; D020543:Proteome; D012984:Software
D020543:Proteome