Bayesian evolutionary analysis ; with BEAST 2 / Alexei J. Drummond, University of Auckland, New Zealand, Remco R. Bouckaert, University of Auckland, New Zealand.
Drummond, Alexei J.| Call Number | 578.01/2 |
| Author | Drummond, Alexei J., author. |
| Title | Bayesian evolutionary analysis ; with BEAST 2 / Alexei J. Drummond, University of Auckland, New Zealand, Remco R. Bouckaert, University of Auckland, New Zealand. |
| Physical Description | 1 online resource (xii, 249 pages) : digital, PDF file(s). |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Summary | What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian approaches to phylogenetics. This practical guide: • Addresses the theoretical aspects of the field • Advises on how to prepare and perform phylogenetic analysis • Helps with interpreting analyses and visualisation of phylogenies • Describes the software architecture • Helps developing BEAST 2.2 extensions to allow these models to be extended further. With an accompanying website providing example files and tutorials (http://beast2.org/), this one-stop reference to applying the latest phylogenetic models in BEAST 2 will provide essential guidance for all users – from those using phylogenetic tools, to computational biologists and Bayesian statisticians. |
| Added Author | Bouckaert, Remco R., author. |
| Subject | Cladistic analysis Data processing. BAYESIAN STATISTICAL DECISION THEORY. |
| Multimedia |
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| Summary | What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian approaches to phylogenetics. This practical guide: • Addresses the theoretical aspects of the field • Advises on how to prepare and perform phylogenetic analysis • Helps with interpreting analyses and visualisation of phylogenies • Describes the software architecture • Helps developing BEAST 2.2 extensions to allow these models to be extended further. With an accompanying website providing example files and tutorials (http://beast2.org/), this one-stop reference to applying the latest phylogenetic models in BEAST 2 will provide essential guidance for all users – from those using phylogenetic tools, to computational biologists and Bayesian statisticians. |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Subject | Cladistic analysis Data processing. BAYESIAN STATISTICAL DECISION THEORY. |
| Multimedia |