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Advances and Limitations of Maximum Likelihood Phylogenetics

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 : 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.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00193165
Contributor : Olivier Gascuel <>
Submitted on : Friday, November 30, 2007 - 7:12:27 PM
Last modification on : Thursday, May 24, 2018 - 3:59:22 PM

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  • HAL Id : lirmm-00193165, version 1

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

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