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

2010; Oxford University Press; Volume: 26; Issue: 6 Linguagem: Inglês

10.1093/bioinformatics/btq031

1367-4811

Paulo C. Carvalho, Xuemei Han, Tao Xu, Daniel Cociorva, Maria da Glória Carvalho, Valmir C. Barbosa, John R. Yates,

Anomaly Detection Techniques and Applications

Abstract Summary: XDIA is a computational strategy for analyzing multiplexed spectra acquired using electron transfer dissociation and collision-activated dissociation; it significantly increases identified spectra (∼250%) and unique peptides (∼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. Availability: The software and data produced in this work are freely available for academic use at http://fields.scripps.edu/XDIA Contact: paulo@pcarvalho.com Supplementary information: Supplementary data are available at Bioinformatics online.