Journal article

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

Remco Bouckaert, Timothy G Vaughan, Joelle Barido-Sottani, Sebastian Duchene, Mathieu Fourment, Alexandra Gavryushkina, Joseph Heled, Graham Jones, Denise Kuehnert, Nicola De Maio, Michael Matschiner, Fabio K Mendes, Nicola F Mueller, Huw A Ogilvie, Louis du Plessis, Alex Popinga, Andrew Rambaut, David Rasmussen, Igor Siveroni, Marc A Suchard Show all

PLOS Computational Biology | PUBLIC LIBRARY SCIENCE | Published : 2019

Grants

Awarded by Royal Society of New Zealand Marsden award


Awarded by European Research Council under the Seventh Framework Programme of the European Commission (PATHPHYLODYN)


Awarded by NIH MIDAS


Awarded by Swiss National Science foundation (SNF)


Awarded by European Research Council under the Seventh Framework Programme of the European Commission (PhyPD)


Awarded by Swiss National Science Foundation (SNP)


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.