Improving the TFold test for differential shotgun proteomics

被引：66

作者：

Carvalho, Paulo C.

Yates, John R., III ^{[1
]}

Barbosa, Valmir C. ^{[2
]}

机构：

[1] Scripps Res Inst, Dept Physiol Chem, La Jolla, CA 92037 USA

[2] Univ Fed Rio de Janeiro, Syst Engn & Comp Sci Program, Rio De Janeiro, Brazil

来源：

BIOINFORMATICS | 2012年 / 28卷 / 12期

基金：

美国国家卫生研究院;

关键词：

PROTEIN MIXTURES; ORGANISMS;

D O I：

10.1093/bioinformatics/bts247

中图分类号：

Q5 [生物化学];

学科分类号：

070307 [化学生物学];

摘要：

We present an updated version of the TFold software for pinpointing differentially expressed proteins in shotgun proteomics experiments. Given an FDR bound, the updated approach uses a theoretical FDR estimator to maximize the number of identifications that satisfy both a fold-change cutoff that varies with the t-test P-value as a power law and a stringency criterion that aims to detect lowly abundant proteins. The new version has yielded significant improvements in sensitivity over the previous one.

引用

收藏

页码：1652 / 1654

页数：3

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