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The Reliability and Stability of an Inferred Phylogenetic Tree from Empirical Data.
Katsura, Yukako; Stanley, Craig E; Kumar, Sudhir; Nei, Masatoshi.
Afiliação
  • Katsura Y; Department of Biology and Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Stanley CE; Department of Biology and Institute of Molecular Evolutionary Genetics, Pennsylvania State University, State College, PA.
  • Kumar S; Department of Biology and Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Nei M; Department of Biology and Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
Mol Biol Evol ; 34(3): 718-723, 2017 03 01.
Article em En | MEDLINE | ID: mdl-28100791
The reliability of a phylogenetic tree obtained from empirical data is usually measured by the bootstrap probability (Pb) of interior branches of the tree. If the bootstrap probability is high for most branches, the tree is considered to be reliable. If some interior branches show relatively low bootstrap probabilities, we are not sure that the inferred tree is really reliable. Here, we propose another quantity measuring the reliability of the tree called the stability of a subtree. This quantity refers to the probability of obtaining a subtree (Ps) of an inferred tree obtained. We then show that if the tree is to be reliable, both Pb and Ps must be high. We also show that Ps is given by a bootstrap probability of the subtree with the closest outgroup sequence, and computer program RESTA for computing the Pb and Ps values will be presented.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Análise de Sequência de DNA / Biologia Computacional / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Mol Biol Evol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Análise de Sequência de DNA / Biologia Computacional / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Mol Biol Evol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2017 Tipo de documento: Article