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.
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Review Article|
February 04 2005
A Bioinformatics Perspective on Proteomics: Data Storage, Analysis, and Integration
Andreas Kremer;
Andreas Kremer
1Sienabiotech S.p.A. Discovery Research, Via Fiorentina 1, 53100, Siena, Italy
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Reinhard Schneider;
Reinhard Schneider
2EMBL, Meyerhofstr. 1, 69117, Heidelberg, Germany
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Georg C. Terstappen
Georg C. Terstappen
1Sienabiotech S.p.A. Discovery Research, Via Fiorentina 1, 53100, Siena, Italy
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Publisher: Portland Press Ltd
Online ISSN: 1573-4935
Print ISSN: 0144-8463
© 2005 Springer
2005
Biosci Rep (2005) 25 (1-2): 95–106.
Citation
Andreas Kremer, Reinhard Schneider, Georg C. Terstappen; A Bioinformatics Perspective on Proteomics: Data Storage, Analysis, and Integration. Biosci Rep 4 February 2005; 25 (1-2): 95–106. doi: https://doi.org/10.1007/s10540-005-2850-4
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