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

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

Bioinformatics · 2010 · 97 citations · 5 references

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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. 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.

References

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