Reference : A bioinformatics perspective on proteomics: Data storage, analysis, and integration
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/10993/19389
A bioinformatics perspective on proteomics: Data storage, analysis, and integration
English
Kremer, A. [> >]
Schneider, Reinhard mailto [European Molecular Biology Laboratory - EMBL]
Terstappen, G. C. [> >]
2005
Bioscience Reports
Springer
25
1-2
95-106
Yes (verified by ORBilu)
International
0144-8463
New York
NY
[en] proteomics ; database ; data model ; meta-data ; HUPO ; PSI ; integration
[en] 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.
http://hdl.handle.net/10993/19389
http://www.bioscirep.org/bsr/025/0095/0250095.pdf

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