Publication | Open Access
XDIA: improving on the label-free data-independent analysis
96
Citations
5
References
2010
Year
EngineeringProtein AnalysisMolecular BiologyBiological Mass SpectrometryData ExplorationLarge-scale DatasetsProteomic TechnologyData ScienceData MiningBioinformatics OnlineUnique PeptidesData IntegrationProteomicsComputational BiochemistryStatisticsBiochemistryKnowledge DiscoveryOmicsTranslational ProteomicsBioinformaticsBiomolecular ScienceElectron Transfer DissociationProtein BioinformaticsLabel-free Data-independent AnalysisNatural SciencesPeptide LibraryMass SpectrometryComputational BiologyProtein Mass SpectrometryNative Mass Spectrometry
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.
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