Bayesian Evolutionary Analysis with BEAST
By Alexei J. Drummond, Remco R. Bouckaert. 2015
408 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Paleontology
View Paper: https://www.semanticscholar.org/paper/f756ac3dd5ea378cb01be5d9cf3d5f5284262904
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Alexei J. Drummond
- Remco R. Bouckaert
- Marc A. Suchard
- Andrew Rambaut
- Dong Xie
- Huw A. Ogilvie
- Joseph Heled
- Chieh-Hsi Wu
In Molecular Biology
- Alexei J. Drummond
- Remco R. Bouckaert
- Marc A. Suchard
- Andrew Rambaut
- Dong Xie
- Huw A. Ogilvie
- Joseph Heled
- Tanja Stadler
In Paleontology
- Remco R. Bouckaert
- Alexei J. Drummond
- Marc A. Suchard
- Andrew Rambaut
- Dong Xie
- Huw A. Ogilvie
- Joseph Heled
- Tanja Stadler
Citations in the corpus
- BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis (2018, methodology): “Four years ago, BEAST 2 [1, 2] was published as a complete rewrite of the original BEAST software.”
- Evolution of lacewings and allied orders using anchored phylogenomics (Neuroptera, Megaloptera, Raphidioptera) (2018, background): “…density was defined at each calibration node to account both for uncertainty underlying the age of the fossil and the possibility that the true divergence occurred earlier than defined by the fossil (Drummond & Bouckaert, 2015), and we assigned an exponential distribution for each calibration node.”
- bModelTest: Bayesian phylogenetic site model averaging and model comparison (2015, methodology): “Co-estimation of the substitution model for a nucleotide alignment can be achieved by sampling all possible reversible models [7], or just a nested set of models [8], using either reversible jump MCMC or stochastic Bayesian variable selection [9].”