Unbiased Statistical Analysis for Multi-Stage Proteomic Search Strategies
Unbiased Statistical Analysis for Multi-Stage Proteomic Search Strategies
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DOI：
10.1021/pr900256v
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发表时间：
2010-02-01
影响因子：
4.4
通讯作者：
Master, Stephen R.
中科院分区：
文献类型：
--
作者：
Everett, Logan J.;Bierl, Charlene;Master, Stephen R.
“多阶段”搜索策略已被广泛接受用于肽鉴定，并在许多可用的软件包中实现。我们描述了这些策略的验证和基于诱饵的统计分析的局限性，并使用一组控制样品光谱证明了这些局限性。我们提出了一个解决方案，纠正统计缺陷，并描述其实施使用开源软件XITandem。
"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.