Informatics and data management in proteomics

被引：24

作者：

Fenyö, D ^{[1
]}

Beavis, RC ^{[1
]}

机构：

[1] Proteometr LLC, New York, NY 10014 USA

来源：

TRENDS IN BIOTECHNOLOGY | 2002年 / 20卷 / 12期

关键词：

D O I：

10.1016/S1471-1931(02)00198-2

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

引用

页码：S35 / S38

页数：4

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