Bayesian Phylogenetics with BEAUti and the BEAST 1.7
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Summary
The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7 is presented, which implements a family of Markov chain Monte Carlo algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses.
- Type
- article
- Published
- 2012-02-25
- Cited by
- 1,745
- References
- 24
- Access
- Open access
- OpenAlex
- https://openalex.org/W2130362098
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:271877548
Keywords
Coalescent theory, Markov chain Monte Carlo, Biology, Evolutionary biology, Phylogenetic tree
References
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- Phylogenetic relatedness and the determinants of competitive outcomes.
- Wild Gazelles of the Southern Levant: Genetic Profiling Defines New Conservation Priorities
- Comparative Genomics of an Emerging Amphibian Virus
- Phylogeography of the inshore fish, Bostrychus sinensis, along the Pacific coastline of China.
- Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference
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- Rabies Virus Infection in Domestic Buffaloes and Wild Animals in India
- Exploring the Evolutionary History of North American Prairie Grouse (Genus: Tympanuchus) Using Multi-locus Coalescent Analyses
- Hidden relationships and genetic diversity: Molecular phylogeny and phylogeography of the Levantine lizards of the genus Phoenicolacerta (Squamata: Lacertidae).
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