Building consensus spectral libraries for peptide identification in proteomics

被引：173

作者：

Lam, Henry ^{[1
,2
]}

Deutsch, Eric W. ^{[1
]}

Eddes, James S. ^{[1
]}

Eng, Jimmy K. ^{[1
]}

Stein, Stephen E. ^{[3
]}

Aebersold, Ruedi ^{[1
,4
,5
,6
]}

机构：

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

[2] Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China

[3] Natl Inst Stand & Technol, Gaithersburg, MD 20899 USA

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

[5] Univ Zurich, HPT, CH-8093 Zurich, Switzerland

[6] Univ Zurich, Fac Nat Sci, CH-8093 Zurich, Switzerland

来源：

NATURE METHODS | 2008年 / 5卷 / 10期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1038/NMETH.1254

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Spectral searching has drawn increasing interest as an alternative to sequence-database searching in proteomics. We developed and validated an open-source software toolkit, SpectraST, to enable proteomics researchers to build spectral libraries and to integrate this promising approach in their data-analysis pipeline. It allows individual researchers to condense raw data into spectral libraries, summarizing information about observed proteomes into a concise and retrievable format for future data analyses.

引用

页码：873 / 875

页数：3

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