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Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny

The reconstruction of large phylogenetic trees from data that violates clocklike evolution (or as a supertree constructed from any m input trees) raises a difficult question for biologists–how can one assign relative dates to the vertices of the tree? In this paper we investigate this problem, assum...

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Detalles Bibliográficos
Autores principales: Gernhard, Tanja, Ford, Daniel, Vos, Rutger, Steel, Mike
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674681/
https://www.ncbi.nlm.nih.gov/pubmed/19455222
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author Gernhard, Tanja
Ford, Daniel
Vos, Rutger
Steel, Mike
author_facet Gernhard, Tanja
Ford, Daniel
Vos, Rutger
Steel, Mike
author_sort Gernhard, Tanja
collection PubMed
description The reconstruction of large phylogenetic trees from data that violates clocklike evolution (or as a supertree constructed from any m input trees) raises a difficult question for biologists–how can one assign relative dates to the vertices of the tree? In this paper we investigate this problem, assuming a uniform distribution on the order of the inner vertices of the tree (which includes, but is more general than, the popular Yule distribution on trees). We derive fast algorithms for computing the probability that (i) any given vertex in the tree was the j–th speciation event (for each j), and (ii) any one given vertex is earlier in the tree than a second given vertex. We show how the first algorithm can be used to calculate the expected length of any given interior edge in any given tree that has been generated under either a constant-rate speciation model, or the coalescent model.
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spelling pubmed-26746812009-05-19 Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny Gernhard, Tanja Ford, Daniel Vos, Rutger Steel, Mike Evol Bioinform Online Original Research The reconstruction of large phylogenetic trees from data that violates clocklike evolution (or as a supertree constructed from any m input trees) raises a difficult question for biologists–how can one assign relative dates to the vertices of the tree? In this paper we investigate this problem, assuming a uniform distribution on the order of the inner vertices of the tree (which includes, but is more general than, the popular Yule distribution on trees). We derive fast algorithms for computing the probability that (i) any given vertex in the tree was the j–th speciation event (for each j), and (ii) any one given vertex is earlier in the tree than a second given vertex. We show how the first algorithm can be used to calculate the expected length of any given interior edge in any given tree that has been generated under either a constant-rate speciation model, or the coalescent model. Libertas Academica 2007-02-20 /pmc/articles/PMC2674681/ /pubmed/19455222 Text en Copyright © 2006 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0)
spellingShingle Original Research
Gernhard, Tanja
Ford, Daniel
Vos, Rutger
Steel, Mike
Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny
title Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny
title_full Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny
title_fullStr Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny
title_full_unstemmed Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny
title_short Estimating the Relative Order of Speciation or Coalescence Events on a Given Phylogeny
title_sort estimating the relative order of speciation or coalescence events on a given phylogeny
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674681/
https://www.ncbi.nlm.nih.gov/pubmed/19455222
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