Advances and Limitations of Maximum Likelihood Phylogenetics - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2007

Advances and Limitations of Maximum Likelihood Phylogenetics

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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Dates and versions

lirmm-00193165 , version 1 (30-11-2007)

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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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