R
Remco R. Bouckaert
Researcher at University of Auckland
Publications - 115
Citations - 15321
Remco R. Bouckaert is an academic researcher from University of Auckland. The author has contributed to research in topics: Bayesian probability & Population. The author has an hindex of 35, co-authored 104 publications receiving 11717 citations. Previous affiliations of Remco R. Bouckaert include Utrecht University & University of Waikato.
Papers
More filters
Journal ArticleDOI
BEAST 2: A Software Platform for Bayesian Evolutionary Analysis
Remco R. Bouckaert,Joseph Heled,Denise Kühnert,Timothy G. Vaughan,Chieh-Hsi Wu,Dong Xie,Marc A. Suchard,Andrew Rambaut,Alexei J. Drummond +8 more
TL;DR: BEAST 2 now has a fully developed package management system that allows third party developers to write additional functionality that can be directly installed to the BEAST 2 analysis platform via a package manager without requiring a new software release of the platform.
Journal ArticleDOI
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.
Remco R. Bouckaert,Remco R. Bouckaert,Timothy G. Vaughan,Timothy G. Vaughan,Joëlle Barido-Sottani,Joëlle Barido-Sottani,Sebastián Duchêne,Mathieu Fourment,Alexandra Gavryushkina,Joseph Heled,Graham Jones,Denise Kühnert,Nicola De Maio,Michael Matschiner,Fábio K. Mendes,Nicola F. Müller,Nicola F. Müller,Huw A. Ogilvie,Louis du Plessis,Alex Popinga,Andrew Rambaut,David A. Rasmussen,Igor Siveroni,Marc A. Suchard,Chieh-Hsi Wu,Dong Xie,Chi Zhang,Tanja Stadler,Tanja Stadler,Alexei J. Drummond +29 more
TL;DR: A series of major new developments in the BEAST 2 core platform and model hierarchy that have occurred since the first release of the software, culminating in the recent 2.5 release are described.
Journal ArticleDOI
Inferring Species Trees Directly from Biallelic Genetic Markers: Bypassing Gene Trees in a Full Coalescent Analysis
TL;DR: A polynomial-time algorithm that computes the likelihood of a species tree directly from the markers under a finite-sites model of mutation effectively integrating over all possible gene trees is described.
Journal ArticleDOI
DensiTree: making sense of sets of phylogenetic trees.
TL;DR: DensiTree provides a quick method for qualitative analysis of tree sets by drawing all trees in the set transparently to get an impression of properties of the tree set such as well-supported clades, distribution of tMRCA and areas of topological uncertainty.
Journal ArticleDOI
bModelTest: Bayesian phylogenetic site model averaging and model comparison
TL;DR: bModelTest allows for a Bayesian approach to inferring and marginalizing site models in a phylogenetic analysis and does not need to be pre-determined, as is now often the case in practice, by likelihood-based methods.