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Damien M. de Vienne

dblp:10/2516 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2020
0000-0001-9532-5251ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 3 · 2 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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
phylogenetics
0.522020
Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages · Bioinform. 2020
A congruence index for testing topological similarity between trees · Bioinform. 2007
Bioinformatics and computational biology › phylogenetics › computational phylogenetics
phylogenetic simulation
0.412020
Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages · Bioinform. 2020

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

simulation · 0.4random tree generation · 0.1maximum agreement subtree · 0.1
YearPublicationVenuePosition
2020 Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages
abstract
SUMMARY: Here we present Zombi, a tool to simulate the evolution of species, genomes and sequences in silico, that considers for the first time the evolution of genomes in extinct lineages. It also incorporates various features that have not to date been combined in a single simulator, such as the possibility of generating species trees with a pre-defined variation of speciation and extinction rates through time, simulating explicitly intergenic sequences of variable length and outputting gene tree-species tree reconciliations. AVAILABILITY AND IMPLEMENTATION: Source code and manual are freely available in https://github.com/AADavin/ZOMBI/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Adrián A. Davín, Théo Tricou, Eric Tannier, Damien M. de Vienne, Gergely J. Szöllosi
Bioinform.4
2009 In response to comment on 'A congruence index for testing topological similarity between trees'
abstract
Abstract Contact: [email protected]
Damien M. de Vienne, Tatiana Giraud, Olivier C. Martin
Bioinform.1
2007 A congruence index for testing topological similarity between trees
abstract
MOTIVATION: Phylogenetic trees are omnipresent in evolutionary biology and the comparison of trees plays a central role there. Tree congruence statistics are based on the null hypothesis that two given trees are not more congruent (topologically similar) than expected by chance. Usually, one searches for the most parsimonious evolutionary scenario relating two trees and then one tests the null hypothesis by generating a high number of random trees and comparing these to the one between the observed trees. However, this approach requires a lot of computational work (human and machine) and the results depend on the evolutionary assumptions made. RESULTS: We propose an index, I(cong), for testing the topological congruence between trees with any number of leaves, based on maximum agreement subtrees (MAST). This index is straightforward, simple to use, does not rely on parametrizing the likelihood of evolutionary events, and provides an associated confidence level. AVAILABILITY: A web site has been created that allows rapid and easy online computation of this index and of the associated P-value at http://www.ese.u-psud.fr/bases/upresa/pages/devienne/index.html
Damien M. de Vienne, Tatiana Giraud, Olivier C. Martin
Bioinform.1