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

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

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

Author(s) -

Paulo C. Carvalho,

Xuemei Han,

Tao Xu,

Daniel Cociorva,

Maria da Glória Carvalho,

Valmir C. Barbosa,

John R. Yates

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq031

Subject(s) - computer science , data mining

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.

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