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Distance-­based methods in phylogenetics

Fabio Pardi 1, 2 Olivier Gascuel 1, 2 
1 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : A popular approach in phylogenetics consists in estimating a matrix of evolutionary distances between pairs of taxa, and then using this information to reconstruct a phylogenetic tree for those taxa. In this entry, we first explain how distances should be defined and estimated, and then focus on the task of inferring a phylogenetic tree that accounts for the estimated distances. Specifically, we will introduce the classical guiding principles for tree inference – least squares and minimum evolution – and then present the most popular distance-based methods – in particular neighbor joining and a wide array of algorithms inspired by it.
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Contributor : Fabio Pardi Connect in order to contact the contributor
Submitted on : Monday, October 24, 2016 - 12:14:10 PM
Last modification on : Friday, August 5, 2022 - 3:02:17 PM


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  • HAL Id : lirmm-01386569, version 1


Fabio Pardi, Olivier Gascuel. Distance-­based methods in phylogenetics. Richard M. Kliman. Encyclopedia of Evolutionary Biology, Elsevier, pp.458-465, 2016, 1st Edition, 978-0-12-800426-5. ⟨lirmm-01386569⟩



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