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Conference papers

Maximum-likelihood-based inference of phylogenies

Olivier Gascuel 1, *
* Corresponding author
1 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Maximum-likelihood (ML) methods are more and more used to infer phylogenies, because of their high level of accruracy. I'll present the main components and features of this approach: 1) preamble, basic principle and properties; 2) ML distance estimation; 3) tree likelihood computation via the pruning algorithm; 4) heuristics to search the tree space; 5) simulation results, computing times and topological accuracy compared to other methods; 6) approximate likelihood ratio test for branch supports.
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Contributor : Olivier Gascuel <>
Submitted on : Monday, August 30, 2010 - 6:31:15 PM
Last modification on : Thursday, May 24, 2018 - 3:59:22 PM


  • HAL Id : lirmm-00512555, version 1



Olivier Gascuel. Maximum-likelihood-based inference of phylogenies. Escuela Latinoamericana de Evolucion, Uruguay. ⟨lirmm-00512555⟩



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