Optimal rates for phylogenetic inference and experimental design in the era of genome-scale data sets
Year: 2019
Type: other
Abstract: Time and rate of character evolution can be used to predict the probability of convergence in states. Theory predicts the existence of an optimal rate that maximizes phylogenetic information and minimizes homoplasious characters. The question of how to select data appropriate for a given phylogenetic problem has become a major topic of interest. This question has been driving development of theory of phylogenetic experimental design for over two decades. Some research has failed to find a relationship between the rate of a gene and phylogenetic utility, perhaps because of tree structure, substitution model, and taxon sampling. Here, we show how optimal rates do or don’t depend on these factors—in ways that vitally inform phylogenetic experimental design.
Authors: Alex Dornburg, Zhou Su, Jeffrey P. Townsend
Institutions: North Carolina Museum of Natural Sciences, Yale University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W2966828775