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A Tutorial on the Use of BPP for Species Tree Estimation and Species Delimitation

Abstract : BPP is a Bayesian Markov chain Monte Carlo program for analyzing multilocus sequence data under the multispecies coalescent (MSC) model with and without introgression. Among the analyses that can be conducted are estimation of population size and species divergence times, species tree estimation, species delimitation and estimation of cross-species introgression intensity. The program can also be used to simulate gene trees and sequence alignments under the MSC model with, or without, migration. In this tutorial, we illustrate the use of BPP for species tree estimation and species delimitation. We also provide practical guidelines on running BPP on multicore systems. As BPP is continuously updated, the most up-to-date version of this tutorial, as well as the data files, are available at
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Submitted on : Friday, April 10, 2020 - 3:41:34 PM
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  • HAL Id : hal-02536475, version 1




Tomáš Flouri, Bruce Rannala, Ziheng Yang. A Tutorial on the Use of BPP for Species Tree Estimation and Species Delimitation. Scornavacca, Celine; Delsuc, Frédéric; Galtier, Nicolas. Phylogenetics in the Genomic Era, No commercial publisher | Authors open access book, pp.5.6:1--5.6:16, 2020. ⟨hal-02536475⟩



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