PhyloMAd: efficient assessment of phylogenomic model adequacy
David A Duchene, Sebastian Duchene, Simon YW Ho
Bioinformatics | OXFORD UNIV PRESS | Published : 2018
Summary: Statistical phylogenetic inference plays an important role in evolutionary biology. The accuracy of phylogenetic methods relies on having suitable models of the evolutionary process. Various tools allow comparisons of candidate phylogenetic models, but assessing the absolute performance of models remains a considerable challenge. We introduce PhyloMAd, a user-friendly application for assessing the adequacy of commonly used models of nucleotide substitution and among-lineage rate variation. Our software implements a fast, likelihood-based method of model assessment that is tractable for analyses of large multi-locus datasets. PhyloMAd provides a means of informing model improvement, ..View full abstract
Awarded by Australian Research Council
This work was supported by funding from the Australian Research Council to D.A.D. and S.Y.W.H. [DP160104173]. S.D. was supported by a McKenzie Fellowship from the University of Melbourne.