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Vincent Portero

dblp:71/10454 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0002-7221-859XORCID · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.112011
Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME · Bioinform. 2011
Bioinformatics and computational biology › genomics
computational genomics
0.012011
Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME · Bioinform. 2011
Bioinformatics and computational biology › clinical bioinformatics
variant interpretation
0.012011
Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME · Bioinform. 2011

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

workflow engine · 0.1graphical user interface · 0.1
YearPublicationVenuePosition
2011 Knime4Bio: a set of custom nodes for the interpretation of next-generation sequencing data with KNIME
abstract
SUMMARY: Analysing large amounts of data generated by next-generation sequencing (NGS) technologies is difficult for researchers or clinicians without computational skills. They are often compelled to delegate this task to computer biologists working with command line utilities. The availability of easy-to-use tools will become essential with the generalization of NGS in research and diagnosis. It will enable investigators to handle much more of the analysis. Here, we describe Knime4Bio, a set of custom nodes for the KNIME (The Konstanz Information Miner) interactive graphical workbench, for the interpretation of large biological datasets. We demonstrate that this tool can be utilized to quickly retrieve previously published scientific findings.
Pierre Lindenbaum, Solena Le Scouarnec, Vincent Portero, Richard Redon
Bioinform.3