Unbiased Statistical Analysis for Multi-Stage Proteomic Search Strategies

被引：44

作者：

Everett, Logan J. ^{[1
]}

Bierl, Charlene ^{[1
]}

Master, Stephen R. ^{[1
]}

机构：

[1] Univ Penn, Dept Pathol & Lab Med, Stellar Chance Labs 613A, Philadelphia, PA 19104 USA

来源：

JOURNAL OF PROTEOME RESEARCH | 2010年 / 9卷 / 02期

关键词：

Proteomics; Mass Spectrometry; Peptide Identification; Bioinformatics; FALSE DISCOVERY RATES; POSTTRANSLATIONAL MODIFICATIONS; PROTEIN IDENTIFICATIONS; PEPTIDE IDENTIFICATIONS; TANDEM; DATABASE; MODEL; ALGORITHMS; SEQUENCES; MS/MS;

D O I：

10.1021/pr900256v

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

"Multi-stage" search strategies have become widely accepted for peptide identification and are implemented in a number of available software packages. We describe limitations of these strategies for validation and decoy-based statistical analyses and demonstrate these limitations using a set of control sample spectra. We propose a solution that corrects the statistical deficiencies and describe its implementation using the open-source software XITandem.

引用

页码：700 / 707

页数：8

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