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Pascal Trouvé

dblp:244/8948 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved

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
genetic variant analysis
0.412019
GEMPROT: visualization of the impact on the protein of the genetic variants found on each haplotype · Bioinform. 2019
Bioinformatics and computational biology › biological data visualization
haplotype visualization
0.412019
GEMPROT: visualization of the impact on the protein of the genetic variants found on each haplotype · Bioinform. 2019
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein function analysis
0.412019
GEMPROT: visualization of the impact on the protein of the genetic variants found on each haplotype · Bioinform. 2019
YearPublicationVenuePosition
2019 GEMPROT: visualization of the impact on the protein of the genetic variants found on each haplotype
abstract
SUMMARY: When analyzing sequence data, genetic variants are considered one by one, taking no account of whether or not they are found in the same individual. However, variant combinations might be key players in some diseases as variants that are neutral on their own can become deleterious when associated together. GEMPROT is a new analysis tool that allows, from a phased vcf file, to visualize the consequences of the genetic variants on the protein. At the level of an individual, the program shows the variants on each of the two protein sequences and the Pfam functional protein domains. When data on several individuals are available, GEMPROT lists the haplotypes found in the sample and can compare the haplotype distributions between different sub-groups of individuals. By offering a global visualization of the gene with the genetic variants present, GEMPROT makes it possible to better understand the impact of combinations of genetic variants on the protein sequence. AVAILABILITY AND IMPLEMENTATION: GEMPROT is freely available at https://github.com/TaniaCuppens/GEMPROT. An on-line version is also available at http://med-laennec.univ-brest.fr/GEMPROT/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Tania Cuppens, Thomas Ludwig 0008, Pascal Trouvé, Emmanuelle Génin
Bioinform.3