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Conference Papers Year : 2009

Maximum-likelihood-based inference of phylogenies

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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Dates and versions

lirmm-00512555 , version 1 (30-08-2010)

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  • HAL Id : lirmm-00512555 , version 1

Cite

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