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Inferring ancestral sequences in taxon-rich phylogenies

Olivier Gascuel 1, * Mike Steel 2
* Corresponding author
1 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Statistical consistency in phylogenetics has traditionally referred to the accuracy of estimating phylogenetic parameters for a fixed number of species as we increase the number of characters. However, it is also useful to consider a dual type of statistical consistency where we increase the number of species, rather than characters. This raises some basic questions: what can we learn about the evolutionary process as we increase the number of species? In particular, does having more species allow us to infer the ancestral state of characters accurately? This question is particularly important when sequence evolution varies in a complex way from character to character, as methods applicable for i.i.d. models may no longer be valid. In this paper, we assemble a collection of results to analyse various approaches for inferring ancestral information with increasing accuracy as the number of taxa increases.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00511772
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Submitted on : Thursday, August 26, 2010 - 10:09:12 AM
Last modification on : Friday, April 24, 2020 - 2:44:04 PM
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Olivier Gascuel, Mike Steel. Inferring ancestral sequences in taxon-rich phylogenies. Mathematical Biosciences, Elsevier, 2010, 227 (2), pp.125-135. ⟨10.1016/j.mbs.2010.07.002⟩. ⟨lirmm-00511772v1⟩

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