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Maria da Gloria Carvalho

dblp:00/7969 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0001-5890-8095ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics › shotgun proteomics
data-independent acquisition
0.112010
XDIA: improving on the label-free data-independent analysis · Bioinform. 2010
Bioinformatics and computational biology
proteomics
0.112010
XDIA: improving on the label-free data-independent analysis · Bioinform. 2010
Bioinformatics and computational biology › proteomics
shotgun proteomics
0.112010
XDIA: improving on the label-free data-independent analysis · Bioinform. 2010
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis
0.012010
XDIA: improving on the label-free data-independent analysis · Bioinform. 2010

Methods — techniques the papers use, named apart from their topics

electron transfer dissociation · 0.1collision-activated dissociation · 0.1
YearPublicationVenuePosition
2010 XDIA: improving on the label-free data-independent analysis
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: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Paulo C. Carvalho, Xuemei Han, Daniel Cociorva, Maria da Gloria Carvalho, Valmir C. Barbosa, John R. Yates III
Bioinform.5