4.4 Article

Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10

期刊

VIRUS EVOLUTION
卷 4, 期 1, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/ve/vey016

关键词

phylogenetics; phylodynamics; Bayesian inference; Markov chain Monte Carlo

类别

资金

  1. European Union Seventh Framework Programme for research, technological development and demonstration [278433-PREDEMICS, 725422-ReservoirDOCS]
  2. European Union's Horizon 2020 research and innovation programme [634650]
  3. Wellcome Trust [206298/Z/17/Z]
  4. NSF [DMS 1264153, DBI 1661443]
  5. NIH [R01 HG006139, R01 AI107034, U19 AI135995]
  6. Special Research Fund, KU Leuven ('Bijzonder Onderzoeksfonds', KU Leuven) [OT/14/115]
  7. Research Foundation-Flanders ('Fonds voor Wetenschappelijk Onderzoek-Vlaanderen') [G066215N, G0D5117N, G0B9317N]
  8. Interne Fondsen KU Leuven/Internal Funds KU Leuven
  9. NVIDIA Corporation
  10. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG006139] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [U19AI135995, R01AI107034] Funding Source: NIH RePORTER
  12. Direct For Biological Sciences [1356562] Funding Source: National Science Foundation

向作者/读者索取更多资源

The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package has become a primary tool for Bayesian phylogenetic and phylodynamic inference from genetic sequence data. BEAST unifies molecular phylogenetic reconstruction with complex discrete and continuous trait evolution, divergence-time dating, and coalescent demographic models in an efficient statistical inference engine using Markov chain Monte Carlo integration. A convenient, cross-platform, graphical user interface allows the flexible construction of complex evolutionary analyses.

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