XDIA: improving on the label-free data-independent analysis

被引：74

作者：

Carvalho, Paulo C. ^{[1
,2
]}

Han, Xuemei ^{[2
]}

Xu, Tao ^{[2
]}

Cociorva, Daniel ^{[2
]}

Carvalho, Maria da Gloria ^{[3
]}

Barbosa, Valmir C. ^{[1
]}

Yates, John R., III ^{[2
]}

机构：

[1] Univ Fed Rio de Janeiro, COPPE, Syst Engn & Comp Sci Program, BR-21941972 Rio De Janeiro, Brazil

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

[3] Univ Fed Rio de Janeiro, Inst Biofis Carlos Chagas Filho, BR-21941 Rio De Janeiro, Brazil

来源：

BIOINFORMATICS | 2010年 / 26卷 / 06期

基金：

美国国家卫生研究院;

关键词：

SPECTRA; TOOL;

D O I：

10.1093/bioinformatics/btq031

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

XDIA is a computational strategy for analyzing multiplexed spectra acquired using electron transfer dissociation and collision- activated dissociation; it significantly increases identified spectra (similar to 250%) and unique peptides (similar to 30%) when compared with the data-dependent ETCaD analysis on middle-down, single-phase shotgun proteomic analysis. Increasing identified spectra and peptides improves quantitation statistics confidence and protein coverage, respectively.

引用

页码：847 / 848

页数：2

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