https://phaidra.vetmeduni.ac.at/o:3434 Testing phylogenetic signal with categorical traits and tree uncertainty Ribeiro, Diogo Diogo Ribeiro 0000-0002-7773-4286 Universidade do Porto Antunes, Agostinho Agostinho Antunes 0000-0002-1328-1732 Universidade do Porto Borges, Rui Rui Borges 0000-0002-5905-3778 University of Veterinary Medicine Vienna Rocha, Ana Paula Ana Paula Rocha 0000-0003-3218-7001 Universidade do Porto Oxford University Press text eng 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. http://creativecommons.org/licenses/by/4.0/ https://phaidra.vetmeduni.ac.at/api/object/o:3434/download 10.1093/bioinformatics/btad433 https://phaidra.vetmeduni.ac.at/o:605 application/pdf Bioinformatics 39(7) (2023) Bioinformatics 39 7 1.61 MB 2023