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

Authors :
Carvalho PC
Han X
Xu T
Cociorva D
Carvalho Mda G
Barbosa VC
Yates JR 3rd
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2010 Mar 15; Vol. 26 (6), pp. 847-8. Date of Electronic Publication: 2010 Jan 26.
Publication Year :
2010

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 (approximately 250%) and unique peptides (approximately 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.<br />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<br />Supplementary Information: Supplementary data are available at Bioinformatics online.

Details

Language :
English
ISSN :
1367-4811
Volume :
26
Issue :
6
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
20106817
Full Text :
https://doi.org/10.1093/bioinformatics/btq031