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 <>
Submitted on : Monday, October 24, 2016 - 12:14:10 PM
Last modification on : Friday, March 15, 2019 - 1:15:00 AM

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Fabio Pardi, Olivier Gascuel. Distance-­based methods in phylogenetics. Kliman R. Encyclopedia of Evolutionary Biology, pp.458-465, 2016, 1st Edition, 9780128000496. ⟨http://store.elsevier.com/Encyclopedia-of-Evolutionary-Biology/isbn-9780128000496/⟩. ⟨lirmm-01386569⟩

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