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Marco Trevisan-Herraz

dblp:241/2156 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0002-7129-0602ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
proteomics
0.412019
SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments · Bioinform. 2019
Bioinformatics and computational biology › proteomics
quantitative proteomics
0.412019
SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments · Bioinform. 2019

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

weighted spectrum-peptide-protein statistical model · 0.4
YearPublicationVenuePosition
2019 SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments
abstract
SUMMARY: Mass spectrometry-based proteomics has had a formidable development in recent years, increasing the amount of data handled and the complexity of the statistical resources needed. Here we present SanXoT, an open-source, standalone software package for the statistical analysis of high-throughput, quantitative proteomics experiments. SanXoT is based on our previously developed weighted spectrum, peptide and protein statistical model and has been specifically designed to be modular, scalable and user-configurable. SanXoT allows limitless workflows that adapt to most experimental setups, including quantitative protein analysis in multiple experiments, systems biology, quantification of post-translational modifications and comparison and merging of experimental data from technical or biological replicates. AVAILABILITY AND IMPLEMENTATION: Download links for the SanXoT Software Package, source code and documentation are available at https://wikis.cnic.es/proteomica/index.php/SSP. CONTACT: [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary information is available at Bioinformatics online.
Marco Trevisan-Herraz, Navratan Bagwan, Fernando García-Marqués, Inmaculada Jorge, Iakes Ezkurdia, Elena Bonzon-Kulichenko, Jesús Vázquez
Bioinform.1