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BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.
Bouckaert, Remco; Vaughan, Timothy G; Barido-Sottani, Joëlle; Duchêne, Sebastián; Fourment, Mathieu; Gavryushkina, Alexandra; Heled, Joseph; Jones, Graham; Kühnert, Denise; De Maio, Nicola; Matschiner, Michael; Mendes, Fábio K; Müller, Nicola F; Ogilvie, Huw A; du Plessis, Louis; Popinga, Alex; Rambaut, Andrew; Rasmussen, David; Siveroni, Igor; Suchard, Marc A; Wu, Chieh-Hsi; Xie, Dong; Zhang, Chi; Stadler, Tanja; Drummond, Alexei J.
Afiliação
  • Bouckaert R; Centre of Computational Evolution, University of Auckland, Auckland, New Zealand.
  • Vaughan TG; Max Planck Institute for the Science of Human History, Jena, Germany.
  • Barido-Sottani J; ETH Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
  • Duchêne S; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Fourment M; ETH Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
  • Gavryushkina A; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Heled J; Department of Biochemistry and Molecular Biology, University of Melbourne, Melbourne, Victoria, Australia.
  • Jones G; ithree institute, University of Technology Sydney, Sydney, Australia.
  • Kühnert D; Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand.
  • De Maio N; Independent researcher, Auckland, New Zealand.
  • Matschiner M; Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, SE 405 30 Göteborg, Sweden.
  • Mendes FK; Max Planck Institute for the Science of Human History, Jena, Germany.
  • Müller NF; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridgeshire, UK.
  • Ogilvie HA; Department of Environmental Sciences, University of Basel, 4051 Basel, Switzerland.
  • du Plessis L; Centre of Computational Evolution, University of Auckland, Auckland, New Zealand.
  • Popinga A; ETH Zürich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.
  • Rambaut A; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Rasmussen D; Department of Computer Science, Rice University, Houston, TX 77005-1892, USA.
  • Siveroni I; Department of Zoology, University of Oxford, Oxford, OX1 3PS, UK.
  • Suchard MA; Centre of Computational Evolution, University of Auckland, Auckland, New Zealand.
  • Wu CH; Institute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Edinburgh, EH9 3FL UK.
  • Xie D; Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC 27695, USA.
  • Zhang C; Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, W2 1PG, UK.
  • Stadler T; Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
  • Drummond AJ; Department of Statistics, University of Oxford, OX1 3LB, UK.
PLoS Comput Biol ; 15(4): e1006650, 2019 04.
Article em En | MEDLINE | ID: mdl-30958812
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-)models which can be composed into a full model hierarchy have played a key role in these developments. Developing such software frameworks is increasingly a major scientific activity in its own right, and comes with specific challenges, from practical software design, development and engineering challenges to statistical and conceptual modelling challenges. BEAST 2 is one such computational software platform, and was first announced over 4 years ago. Here we describe 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Teorema de Bayes / Evolução Biológica Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Nova Zelândia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Teorema de Bayes / Evolução Biológica Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Nova Zelândia