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Ewout Vanden Eynden

dblp:211/6306 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 79% Medical and health informatics · 21%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › viral genomics
viral genome assembly
0.412019
Genome Detective: an automated system for virus identification from high-throughput sequencing data · Bioinform. 2019
Medical and health informatics
epidemiology
0.312017
PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context · Bioinform. 2017
Bioinformatics and computational biology
phylogenetics
0.312017
PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context · Bioinform. 2017
Bioinformatics and computational biology › phylogenetics › phyloinformatics
phylogenetic tree visualization
0.312017
PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context · Bioinform. 2017
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
de novo assembly
0.112019
Genome Detective: an automated system for virus identification from high-throughput sequencing data · Bioinform. 2019

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

de novo assembly · 0.4alignment · 0.4
YearPublicationVenuePosition
2019 Genome Detective: an automated system for virus identification from high-throughput sequencing data
abstract
SUMMARY: Genome Detective is an easy to use web-based software application that assembles the genomes of viruses quickly and accurately. The application uses a novel alignment method that constructs genomes by reference-based linking of de novo contigs by combining amino-acids and nucleotide scores. The software was optimized using synthetic datasets to represent the great diversity of virus genomes. The application was then validated with next generation sequencing data of hundreds of viruses. User time is minimal and it is limited to the time required to upload the data. AVAILABILITY AND IMPLEMENTATION: Available online: http://www.genomedetective.com/app/typingtool/virus/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Michael Vilsker, Yumna Moosa, Sam Nooij, Vagner Fonseca, Yoika Ghysens, Korneel Dumon, Raf Pauwels, Luiz Carlos Júnior Alcântara, Ewout Vanden Eynden, Anne-Mieke Vandamme, Koen Deforche, Tulio de Oliveira
Bioinform.9
2017 PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context
abstract
MOTIVATION: Clinicians, health officials and researchers are interested in the epidemic spread of pathogens in both space and time to support the optimization of intervention measures and public health policies. Large sequence databases of virus sequences provide an interesting opportunity to study this spread through phylogenetic analysis. To infer knowledge from large phylogenetic trees, potentially encompassing tens of thousands of virus strains, an efficient method for data exploration is required. The clades that are visited during this exploration should be annotated with strain characteristics (e.g. transmission risk group, tropism, drug resistance profile) and their geographic context. RESULTS: PhyloGeoTool implements a visual method to explore large phylogenetic trees and to depict characteristics of strains and clades, including their geographic context, in an interactive way. PhyloGeoTool also provides the possibility to position new virus strains relative to the existing phylogenetic tree, allowing users to gain insight in the placement of such new strains without the need to perform a de novo reconstruction of the phylogeny. AVAILABILITY AND IMPLEMENTATION: https://github.com/rega-cev/phylogeotool (Freely available: open source software project). CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Pieter Libin, Ewout Vanden Eynden, Francesca Incardona, Ann Nowé, Antonia Bezenchek, Anders Sönnerborg, Anne-Mieke Vandamme, Kristof Theys, Guy Baele
Bioinform.2