title: A bioinformatics perspective on proteomics: data storage, analysis, and integration.
abstract: The field of proteomics is advancing rapidly as a result of powerful new technologies and proteomics experiments yield a vast and increasing amount of information. Data regarding protein occurrence, abundance, identity, sequence, structure, properties, and interactions need to be stored. Currently, a common standard has not yet been established and open access to results is needed for further development of robust analysis algorithms. Databases for proteomics will evolve from pure storage into knowledge resources, providing a repository for information (meta-data) which is mainly not stored in simple flat files. This review will shed light on recent steps towards the generation of a common standard in proteomics data storage and integration, but is not meant to be a comprehensive overview of all available databases and tools in the proteomics community.
authors.affiliation: Sienabiotech S.p.A. , Discovery Research, Siena, Italy. akremer@sienabiotech.com
authors.forename: Andreas
authors.initials: A
authors.lastname: Kremer
authors.forename: Reinhard
authors.initials: R
authors.lastname: Schneider
authors.forename: Georg C
authors.initials: GC
authors.lastname: Terstappen
mesh_terms: D019295:Computational Biology / Q000379:methods* / Q000639:trends; D030562:Databases, Protein / Q000639:trends; D016247:Information Storage and Retrieval / Q000379:methods*; D040901:Proteomics / Q000379:methods* / Q000639:trends; D013223:Statistics as Topic / Q000379:methods*