Your browser doesn't support javascript.
loading
Testing phylogenetic signal with categorical traits and tree uncertainty.
Ribeiro, Diogo; Borges, Rui; Rocha, Ana Paula; Antunes, Agostinho.
Afiliação
  • Ribeiro D; CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, 4450-208 Porto, Portugal.
  • Borges R; Department of Biology, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal.
  • Rocha AP; Institut für Populationsgenetik, Vetmeduni Vienna, 1210 Vienna, Austria.
  • Antunes A; CMUP, Centre of Mathematics of the University of Porto, 4169-007 Porto, Portugal.
Bioinformatics ; 39(7)2023 07 01.
Article em En | MEDLINE | ID: mdl-37490431
ABSTRACT

SUMMARY:

The phylogenetic signal, frequently used to identify signatures of adaptive evolution or important associations between genes and phenotypes, measures the tendency for recently diverged species to resemble each other more than distantly related species. An example of such a measure is the δ statistic, which uses Shannon entropy to measure the degree of phylogenetic signal between a categorical trait and a phylogeny. In this study, we refined this statistic to account for tree uncertainty, resulting in more accurate assessments of phylogenetic associations. In addition, we provided a more accessible and computationally efficient implementation of the δ statistic that will facilitate its use by the evolutionary community. AVAILABILITY AND IMPLEMENTATION github.com/diogo-s-ribeiro/delta-statistic.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia Idioma: En Ano de publicação: 2023 Tipo de documento: Article