Improving the performance of Bayesian phylogenetic inference under relaxed clock models
Abstract Background Bayesian MCMC has become a common approach for phylogenetic inference. But the growing size of molecular sequence data sets has created a pressing need to improve the computational efficiency of Bayesian phylogenetic inference algorithms. Results This paper develops a new algorit...
Main Authors: | Rong Zhang, Alexei Drummond |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-05-01
|
Series: | BMC Evolutionary Biology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12862-020-01609-4 |
Similar Items
-
EvoPhylo: An r package for pre‐ and postprocessing of morphological data from relaxed clock Bayesian phylogenetics
by: Tiago R. Simões, et al.
Published: (2023-08-01) -
Fast algorithms for computing phylogenetic divergence time
by: Ralph W. Crosby, et al.
Published: (2017-12-01) -
Composable Probabilistic Inference with Blaise
by: Bonawitz, Keith A
Published: (2008) -
ggmcmc: Analysis of MCMC Samples and Bayesian Inference
by: Xavier Fernández-i-Marín
Published: (2016-05-01) -
Sphenodontian phylogeny and the impact of model choice in Bayesian morphological clock estimates of divergence times and evolutionary rates
by: Tiago R. Simões, et al.
Published: (2020-12-01)