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XDIA: improving on the label-free data-independent analysis.
- 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.
- Subjects :
- Algorithms
Databases, Factual
Proteomics methods
Software
Subjects
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