Yang, Z;
(2015)
The BPP program for species tree estimation and species delimitation.
Current Zoology
, 61
(5)
pp. 854-865.
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Abstract
This paper provides an overview and a tutorial of the BPP program, which is a Bayesian MCMC program for analyzing multi-locus genomic sequence data under the multispecies coalescent model. An example dataset of five nuclear loci from the East Asian brown frogs is used to illustrate four different analyses, including estimation of species divergence time and population size parameters under the multispecies coalescent model on a fixed species phylogeny (A00), species tree estimation when the assignment and species delimitation are fixed (A01), species delimitation using a fixed guide tree (A10), and joint species delimitation and species-tree estimation or unguided species delimitation (A11). For the joint analysis (A11), two new priors are introduced, which assign uniform probabilities for the different numbers of delimited species, which may be useful when assignment, species delimitation, and species phylogeny are all inferred in one joint analysis. The paper ends with a discussion of the assumptions, the strengths and weaknesses of the BPP analysis [Current Zoology 61 (5) : – , 2015 ].
Type: | Article |
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Title: | The BPP program for species tree estimation and species delimitation |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.currentzoology.org/paperdetail.asp?id=1... |
Language: | English |
Additional information: | © 2015 Current Zoology |
Keywords: | BPP, MCMC, Multispecies coalescent, Species delimitation, Species tree |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/1473654 |
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