Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics

被引：103

作者：

Deutsch, Eric W. ^{[1
]}

Lam, Henry ^{[1
]}

Aebersold, Ruedi ^{[1
,2
,3
,4
]}

机构：

[1] Inst Syst Biol, Seattle, WA 98103 USA

[2] Swiss Fed Inst Technol, Inst Mol Syst Biol, Zurich, Switzerland

[3] Univ Zurich, Fac Sci, Zurich, Switzerland

[4] Ctr Syst Physiol & Metab Dis, Zurich, Switzerland

来源：

PHYSIOLOGICAL GENOMICS | 2008年 / 33卷 / 01期

关键词：

D O I：

10.1152/physiolgenomics.00298.2007

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Data processing is a central and critical component of a successful proteomics experiment, and is often the most time-consuming step. There have been considerable advances in the field of proteomics informatics in the past 5 years, spurred mainly by free and open-source software tools. Along with the gains afforded by new software, the benefits of making raw data and processed results freely available to the community in data repositories are finally in evidence. In this review, we provide an overview of the general analysis approaches, software tools, and repositories that are enabling successful proteomics research via tandem mass spectrometry.

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收藏

页码：18 / 25

页数：8

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