Synopsis
Covers theory, practice and programming in Bayesian phylogenetics with BEAST. The why, how and what of BEAST 2.
"synopsis" may belong to another edition of this title.
About the Authors
Alexei J. Drummond is Professor of Computational Biology and Principal Investigator at the Allan Wilson Centre of Molecular Ecology and Evolution at the University of Auckland, New Zealand. He is the lead author of the BEAST software package and has gained a reputation in the field as one of the most knowledgeable experts for Bayesian evolutionary analyses.
Remco R. Bouckaert is a computer scientist with a strong background in Bayesian methods. He is the main architect of version 2 of BEAST and has been working on extensions to the BEAST software and other phylogenetics projects in Alexei Drummond's group at the University of Auckland.
"About this title" may belong to another edition of this title.
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Bayesian Evolutionary Analysis with BEAST
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Hardcover. Condition: new. Hardcover. 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 /), 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. A comprehensive overview of Bayesian approaches to phylogenetics using Markov chain Monte Carlo (MCMC) methods, offering theoretical insight, pragmatic advice and tools to develop further models. This title is a one-stop reference to applying the latest phylogenetic models in BEAST 2, interpreting the analyses and extending these models further. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107019652
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Hardcover. Condition: new. Hardcover. 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 /), 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. A comprehensive overview of Bayesian approaches to phylogenetics using Markov chain Monte Carlo (MCMC) methods, offering theoretical insight, pragmatic advice and tools to develop further models. This title is a one-stop reference to applying the latest phylogenetic models in BEAST 2, interpreting the analyses and extending these models further. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107019652
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Bayesian Evolutionary Analysis with BEAST (Hardcover)
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ISBN 10: 1107019656
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Hardcover. Condition: new. Hardcover. 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 /), 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. A comprehensive overview of Bayesian approaches to phylogenetics using Markov chain Monte Carlo (MCMC) methods, offering theoretical insight, pragmatic advice and tools to develop further models. This title is a one-stop reference to applying the latest phylogenetic models in BEAST 2, interpreting the analyses and extending these models further. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781107019652