Bayesian analysis of phylogeny and macroevolution
Title: Bayesian analysis of phylogeny and macroevolution
SNIC Project: SNIC 2022/5-400
Project Type: SNIC Medium Compute
Principal Investigator: Fredrik Ronquist <fredrik.ronquist@nrm.se>
Affiliation: Naturhistoriska riksmuseet
Duration: 2022-10-01 – 2023-02-01
Classification: 10612
Homepage: http://www.ronquistlab.github.io/
Keywords:

Abstract

We are developing software (MrBayes, RevBayes and TreePPL) for probabilistic inference of problems in phylogeny, evolution and biodiversity research. We are also using this software for empirical phylogenomic analyses. The analyses are often used to demonstrate new techniques or tackle challenging empirical analyses with new algorithms or under new evolutionary models. We are also bench-marking our software against other computational phylogenetics and probabilistic programming software, including PhyloBayes, BayesCode and Birch. Finally, we run challenging empirical analyses, typically using bleeding-edge versions of the same set of software.