XDIA: improving on the label-free data-independent analysis
XDIA: improving on the label-free data-independent analysis
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DOI：
10.1093/bioinformatics/btq031
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发表时间：
2010-03-15
期刊：
影响因子：
5.8
通讯作者：
Yates, John R., III
中科院分区：
文献类型：
--
作者：
Carvalho, Paulo C.;Han, Xuemei;Yates, John R., III
XDIA 是一种计算策略，用于分析使用电子转移解离和碰撞激活解离获得的多重光谱；与中下单相鸟枪式蛋白质组分析中的数据依赖型 ETCaD 分析相比，它显着增加了已识别的光谱（类似于 250%）和独特的肽（类似于 30%）。增加鉴定的光谱和肽分别提高定量统计置信度和蛋白质覆盖率。
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.