Bayesian MCMC phylogenetics
Title: Bayesian MCMC phylogenetics
DNr: SNIC 2022/23-397
Project Type: SNIC Small Storage
Principal Investigator: Fredrik Ronquist <fredrik.ronquist@nrm.se>
Affiliation: Naturhistoriska riksmuseet
Duration: 2022-09-30 – 2023-02-01
Classification: 10612
Homepage: http://www.ronquistlab.net/
Keywords:

Abstract

We are developing software (MrBayes, RevBayes and TreePPL) for Bayesian MCMC inference of problems in phylogenetics and evolutionary biology, and we are using this software for empirical analyses. We are also bench-marking our software against other software for statistical phylogenomic analyses or inference based on probabilistic programming languages, and this software is used for large-scale phylogenomic analyses. The latter, in particular, require the management of large data sets. We are currently using about 1500 GiB of storage for the result files we handle and expect this storage to expand to 2000 GiB during the coming period, while analyses are being run.