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.
Liste complète des métadonnées

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01386569
Contributeur : Fabio Pardi <>
Soumis le : lundi 24 octobre 2016 - 12:14:10
Dernière modification le : jeudi 24 mai 2018 - 15:59:22

Fichier

DistanceMethods_forHAL.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : lirmm-01386569, version 1

Collections

Citation

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〉

Partager

Métriques

Consultations de la notice

184

Téléchargements de fichiers

344