A Bioinformatics Perspective on Proteomics: Data Storage, Analysis, and Integration |
| |
Authors: | Andreas Kremer Reinhard Schneider Georg C Terstappen |
| |
Institution: | (1) Sienabiotech S.p.A. , Discovery Research, Via Fiorentina 1, 53100 Siena, Italy;(2) EMBL, Meyerhofstr. 1, 69117 Heidelberg, Germany |
| |
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. |
| |
Keywords: | Proteomics database data model meta-data HUPO PSI integration |
本文献已被 PubMed SpringerLink 等数据库收录! |
|