A statistical method for assessing peptide identification confidence in accurate mass and time tag proteomics.
A statistical method for assessing peptide identification confidence in accurate mass and time tag proteomics.
复制标题
一种用于评估精确质量和时间标签蛋白质组学中肽鉴定置信度的统计方法。
DOI：
10.1021/ac2009806
复制
发表时间：
2011
影响因子：
7.4
通讯作者：
Dabney,AlanR
中科院分区：
文献类型：
--
作者：
Stanley,JeffreyR;Adkins,JoshuaN;Slysz,GordonW;Monroe,MatthewE;Purvine,SamuelO;Karpievitch,YuliyaV;Anderson,GordonA;Smith,RichardD;Dabney,AlanR
目前用于精确质量和时间（AMT）标签方法中定量肽识别置信度的算法假设AMT标签本身已被正确识别。然而，AMT标签的鉴定存在不确定性，因为这是基于LC-MS/MS片段谱与肽序列的匹配。在本文中，我们将AMT标签识别的置信度度量纳入到与AMT标签数据库正确匹配的概率计算中，从而对AMT标签方法的识别置信度进行更准确的总体度量。该方法被称为AMT标签置信度统计工具（STAC）。STAC还提供了惟一概率（UP）来帮助区分与AMT标签的多个匹配，并提供了计算总体错误发现率（FDR）的方法。STAC可以作为命令行和Windows图形应用程序免费下载。
Current algorithms for quantifying peptide identification confidence in the accurate mass and time (AMT) tag approach assume that the AMT tags themselves have been correctly identified. However, there is uncertainty in the identification of AMT tags, because this is based on matching LC-MS/MS fragmentation spectra to peptide sequences. In this paper, we incorporate confidence measures for the AMT tag identifications into the calculation of probabilities for correct matches to an AMT tag database, resulting in a more accurate overall measure of identification confidence for the AMT tag approach. The method is referenced as Statistical Tools for AMT Tag Confidence (STAC). STAC additionally provides a uniqueness probability (UP) to help distinguish between multiple matches to an AMT tag and a method to calculate an overall false discovery rate (FDR). STAC is freely available for download, as both a command line and a Windows graphical application.