Building consensus spectral libraries for peptide identification in proteomics

被引：163
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
收藏
页码：873 / 875
页数：3
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