2011
DOI: 10.1111/j.2041-210x.2011.00103.x
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A simple polytomy resolver for dated phylogenies

Abstract: Summary1. Unresolved nodes in phylogenetic trees (polytomies) have long been recognized for their influences on specific phylogenetic metrics such as topological imbalance measures, diversification rate analysis and measures of phylogenetic diversity. However, no rigorously tested, biologically appropriate method has been proposed for overcoming the effects of this phylogenetic uncertainty. 2. Here, we present a simple approach to polytomy resolution, using biologically relevant models of diversification. Usin… Show more

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Cited by 193 publications
(252 citation statements)
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“…We extracted 500 bird trees from the posterior distribution of a recent bird phylogeny generated under a Bayesian inference framework [31], and used the 10 000 mammal trees constructed by Kuhn et al [32]. Each individual mammal tree comprises one resolution of the polytomies of a previously published supertree [33].…”
Section: Materials and Methods (A) Datamentioning
confidence: 99%
“…We extracted 500 bird trees from the posterior distribution of a recent bird phylogeny generated under a Bayesian inference framework [31], and used the 10 000 mammal trees constructed by Kuhn et al [32]. Each individual mammal tree comprises one resolution of the polytomies of a previously published supertree [33].…”
Section: Materials and Methods (A) Datamentioning
confidence: 99%
“…For the new list, we calculated ED scores for each of 1000 supertrees, each of which was resolved using Bayesian methods described in Kuhn et al [59]. These fully resolved supertrees represent the pseudo-posterior distribution of the underlying mammalian phylogeny.…”
Section: Methods (A) Edge Scoresmentioning
confidence: 99%
“…To carry out this analysis, I use the same approach as previously [3,4]. I selected a distribution of 25 randomly chosen trees from Kuhn et al [4] and treated them as equivalent to a Bayesian posterior distribution of trees.…”
mentioning
confidence: 99%
“…I selected a distribution of 25 randomly chosen trees from Kuhn et al [4] and treated them as equivalent to a Bayesian posterior distribution of trees. I used the data collated by Williams and Shattuck [1] and log 10 transformed both maximum longevity and body mass before mean centring and expressing the data in units of standard deviation.…”
mentioning
confidence: 99%