T
Tracy A. Heath
Researcher at Iowa State University
Publications - 35
Citations - 3938
Tracy A. Heath is an academic researcher from Iowa State University. The author has contributed to research in topics: Phylogenetic tree & Bayesian inference. The author has an hindex of 19, co-authored 30 publications receiving 3313 citations. Previous affiliations of Tracy A. Heath include University of Texas at Austin & University of California, Berkeley.
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Phylogenetic relationships of the dwarf boas and a comparison of Bayesian and bootstrap measures of phylogenetic support.
TL;DR: The phylogenetic analysis suggests that New World dwarf boas are not monophyletic, and is finds Exiliboa and Ungaliophis to be most closely related to sand boas, boas and advanced snakes, whereas Tropidophis and Trachyboa form an independent clade that separated relatively early in snake radiation.
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The fossilized birth–death process for coherent calibration of divergence-time estimates
TL;DR: The fossilized birth–death process is introduced—a fossil calibration method that unifies extinct and extant species with a single macroevolutionary model, eliminating the need for ad hoc calibration priors and yielding more accurate node age estimates while providing a coherent measure of statistical uncertainty.
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Taxon sampling and the accuracy of phylogenetic analyses
TL;DR: Thorough taxon sampling is one of the most practical ways to improve the accuracy of phylogenetic estimates, as well as the accuracyof biological inferences that are based on these phylogenetic trees.
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RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language
Sebastian Höhna,Michael J. Landis,Tracy A. Heath,Tracy A. Heath,Bastien Boussau,Nicolas Lartillot,Brian R. Moore,John P. Huelsenbeck,Fredrik Ronquist +8 more
TL;DR: RevBayes is a new open-source software package based on probabilistic graphical models, a powerful generic framework for specifying and analyzing statistical models that outperforms competing software for several standard analyses and needs to explicitly specify each part of the model and analysis.
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Total-Evidence Dating under the Fossilized Birth-Death Process.
Chi Zhang,Tanja Stadler,Tanja Stadler,Seraina Klopfstein,Seraina Klopfstein,Tracy A. Heath,Tracy A. Heath,Tracy A. Heath,Fredrik Ronquist +8 more
TL;DR: It is shown that the explicit modeling of fossilization and sampling processes can improve divergence time estimates, but only if all important model aspects, including sampling biases, are adequately addressed.