Analysis and validation of proteomic data generated by tandem mass spectrometry

被引：459

作者：

Nesvizhskii, Alexey I. ^{[1
]}

Vitek, Olga

Aebersold, Ruedi

机构：

[1] Univ Michigan, Sch Med, Dept Pathol, Ctr Computat Med & Biol, Ann Arbor, MI 48105 USA

[2] Purdue Univ, Dept Math Stat & Comp Sci, W Lafayette, IN 47107 USA

[3] ETH, Swiss Fed Inst Technol, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland

[4] Univ Zurich, Fac Sci, CH-8006 Zurich, Switzerland

[5] Inst Syst biol, Seattle, WA 98103 USA

来源：

NATURE METHODS | 2007年 / 4卷 / 10期

关键词：

D O I：

10.1038/NMETH1088

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The analysis of the large amount of data generated in mass spectrometry-based proteomics experiments represents a significant challenge and is currently a bottleneck in many proteomics projects. In this review we discuss critical issues related to data processing and analysis in proteomics and describe available methods and tools. We place special emphasis on the elaboration of results that are supported by sound statistical arguments.

引用

页码：787 / 797

页数：11

共 111 条

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