V
Vincent Lefort
Researcher at University of Montpellier
Publications - 22
Citations - 22544
Vincent Lefort is an academic researcher from University of Montpellier. The author has contributed to research in topics: Web application & Supertree. The author has an hindex of 13, co-authored 22 publications receiving 18528 citations. Previous affiliations of Vincent Lefort include Institut Français & Centre national de la recherche scientifique.
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Journal ArticleDOI
New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0
Stéphane Guindon,Jean-François Dufayard,Vincent Lefort,Maria Anisimova,Wim Hordijk,Olivier Gascuel +5 more
TL;DR: A new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves and a new test to assess the support of the data for internal branches of a phylogeny are introduced.
Journal ArticleDOI
Phylogeny.fr: robust phylogenetic analysis for the non-specialist
Alexis Dereeper,Valentin Guignon,Guillaume Blanc,Stéphane Audic,S. Buffet,François Chevenet,Jean-François Dufayard,Stéphane Guindon,Vincent Lefort,Magali Lescot,Jean-Michel Claverie,Olivier Gascuel +11 more
TL;DR: The Phylogeny.fr platform transparently chains programs to automatically perform phylogenetic analyses and can also meet the needs of specialists; the first ones will find up-to-date tools chained in a phylogeny pipeline to analyze their data in a simple and robust way, while the specialists will be able to easily build and run sophisticated analyses.
Journal ArticleDOI
SMS: Smart Model Selection in PhyML.
TL;DR: The software, “Smart Model Selection” (SMS), is implemented in the PhyML environment and available using two interfaces: command-line (to be integrated in pipelines) and a web server (http://www.atgc-montpellier.fr/phyml-sms/).
Journal ArticleDOI
FastME 2.0: A Comprehensive, Accurate, and Fast Distance-Based Phylogeny Inference Program
TL;DR: FastME as discussed by the authors is based on balanced minimum evolution, which is the very principle of Neighbor Joining (NJ). FastME improves over NJ by performing topological moves using fast, sophisticated algorithms.
Brief Communication FastME 2.0: A Comprehensive, Accurate, and Fast Distance-Based Phylogeny Inference Program
TL;DR: The new 2.0 version of FastME includes Subtree Pruning and Regrafting, while remaining as fast as NJ and providing a number of facilities: Distance estimation for DNA and proteins with various models and options, bootstrapping, and parallel computations.