More on the Best Evolutionary Rate for Phylogenetic Analysis.
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ABSTRACT: The accumulation of genome-scale molecular data sets for nonmodel taxa brings us ever closer to resolving the tree of life of all living organisms. However, despite the depth of data available, a number of studies that each used thousands of genes have reported conflicting results. The focus of phylogenomic projects must thus shift to more careful experimental design. Even though we still have a limited understanding of what are the best predictors of the phylogenetic informativeness of a gene, there is wide agreement that one key factor is its evolutionary rate; but there is no consensus as to whether the rates derived as optimal in various analytical, empirical, and simulation approaches have any general applicability. We here use simulations to infer optimal rates in a set of realistic
SUBMITTER: Klopfstein S
PROVIDER: S-EPMC5790136 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
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