Journal article
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
R Bouckaert, TG Vaughan, J Barido-Sottani, S Duchêne, M Fourment, A Gavryushkina, J Heled, G Jones, D Kühnert, N De Maio, M Matschiner, FK Mendes, NF Müller, HA Ogilvie, L Du Plessis, A Popinga, A Rambaut, D Rasmussen, I Siveroni, MA Suchard Show all
Plos Computational Biology | PUBLIC LIBRARY SCIENCE | Published : 2019
Open access
Abstract
Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data. It is increasingly appreciated that some evolutionary questions can only be adequately answered by combining evidence from multiple independent sources of data, including genome sequences, sampling dates, phenotypic data, radiocarbon dates, fossil occurrences, and biogeographic range information among others. Including all relevant data into a single joint model is very challenging both conceptually and computationally. Advanced computational software packages that allow robust development of compatible (sub-)m..
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Awarded by European Commission
Funding Acknowledgements
AJD would like to acknowledge support from a Royal Society of New Zealand Marsden award (#UOA1611; 16-UOA-277). LdP would like to acknowledge support from the European Research Council under the Seventh Framework Programme of the European Commission (PATHPHYLODYN: grant agreement number 614725). IS would like to acknowledge support from the NIH MIDAS U01 GM110749 grant. NFM and TS are funded in part by the Swiss National Science foundation (SNF; grant number CR32I3 166258). TS, JB-S, LdP, TGV, and CZ were supported in part by the European Research Council under the Seventh Framework Programme of the European Commission (PhyPD: grant agreement number 335529). DK would like to acknowledge support from the Max Planck Society. NDM was supported by EMBL. MM acknowledges support from the Swiss National Science Foundation (SNP; grant number PBBSP3-138680). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.