Advances and Limitations of Maximum Likelihood Phylogenetics

Olivier Gascuel 1, *
* Auteur correspondant
1 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : I'll present recent developments in inferring phylogenies from sequences by maximum likelihood (ML). In fact, these approaches involve two main components: probabilistic modelling of substitution events, and algorithmic to infer near-optimal trees. I'll show that algorithmic has considerably progressed during the last few years, allowing now for fast ML inference from large datasets. On the other hand, I'll underline the difficulties encountered with modelling, especially of protein evolution, and show that elaborating more realistic and improved substitution models is a major challenge.
Liste complète des métadonnées
Contributeur : Olivier Gascuel <>
Soumis le : vendredi 30 novembre 2007 - 19:12:27
Dernière modification le : jeudi 24 mai 2018 - 15:59:22


  • HAL Id : lirmm-00193165, version 1



Olivier Gascuel. Advances and Limitations of Maximum Likelihood Phylogenetics. Current Challenges and Problems in Phylogenetics, United Kingdom. 2007, 〈〉. 〈lirmm-00193165〉



Consultations de la notice