Literature DB >> 27235697

RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language.

Sebastian Höhna1, Michael J Landis2, Tracy A Heath3, Bastien Boussau4, Nicolas Lartillot5, Brian R Moore6, John P Huelsenbeck7, Fredrik Ronquist8.   

Abstract

Programs for Bayesian inference of phylogeny currently implement a unique and fixed suite of models. Consequently, users of these software packages are simultaneously forced to use a number of programs for a given study, while also lacking the freedom to explore models that have not been implemented by the developers of those programs. We developed a new open-source software package, RevBayes, to address these problems. RevBayes is entirely based on probabilistic graphical models, a powerful generic framework for specifying and analyzing statistical models. Phylogenetic-graphical models can be specified interactively in RevBayes, piece by piece, using a new succinct and intuitive language called Rev. Rev is similar to the R language and the BUGS model-specification language, and should be easy to learn for most users. The strength of RevBayes is the simplicity with which one can design, specify, and implement new and complex models. Fortunately, this tremendous flexibility does not come at the cost of slower computation; as we demonstrate, RevBayes outperforms competing software for several standard analyses. Compared with other programs, RevBayes has fewer black-box elements. Users need to explicitly specify each part of the model and analysis. Although this explicitness may initially be unfamiliar, we are convinced that this transparency will improve understanding of phylogenetic models in our field. Moreover, it will motivate the search for improvements to existing methods by brazenly exposing the model choices that we make to critical scrutiny. RevBayes is freely available at http://www.RevBayes.com [Bayesian inference; Graphical models; MCMC; statistical phylogenetics.].
© The Author(s) 2016. Published by Oxford University Press, on behalf of the Society of Systematic Biologists.

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Year:  2016        PMID: 27235697      PMCID: PMC4911942          DOI: 10.1093/sysbio/syw021

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  63 in total

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Authors:  J P Huelsenbeck; B Larget; D Swofford
Journal:  Genetics       Date:  2000-04       Impact factor: 4.562

2.  MRBAYES: Bayesian inference of phylogenetic trees.

Authors:  J P Huelsenbeck; F Ronquist
Journal:  Bioinformatics       Date:  2001-08       Impact factor: 6.937

3.  Bayesian inference of phylogeny and its impact on evolutionary biology.

Authors:  J P Huelsenbeck; F Ronquist; R Nielsen; J P Bollback
Journal:  Science       Date:  2001-12-14       Impact factor: 47.728

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Authors:  Mark Holder; Paul O Lewis
Journal:  Nat Rev Genet       Date:  2003-04       Impact factor: 53.242

5.  A likelihood approach to estimating phylogeny from discrete morphological character data.

Authors:  P O Lewis
Journal:  Syst Biol       Date:  2001 Nov-Dec       Impact factor: 15.683

6.  Divergence time and evolutionary rate estimation with multilocus data.

Authors:  Jeffrey L Thorne; Hirohisa Kishino
Journal:  Syst Biol       Date:  2002-10       Impact factor: 15.683

Review 7.  Potential applications and pitfalls of Bayesian inference of phylogeny.

Authors:  John P Huelsenbeck; Bret Larget; Richard E Miller; Fredrik Ronquist
Journal:  Syst Biol       Date:  2002-10       Impact factor: 15.683

8.  Bayesian gene/species tree reconciliation and orthology analysis using MCMC.

Authors:  Lars Arvestad; Ann-Charlotte Berglund; Jens Lagergren; Bengt Sennblad
Journal:  Bioinformatics       Date:  2003       Impact factor: 6.937

9.  MrBayes 3: Bayesian phylogenetic inference under mixed models.

Authors:  Fredrik Ronquist; John P Huelsenbeck
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

10.  Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci.

Authors:  Bruce Rannala; Ziheng Yang
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

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Review 4.  A Systematist's Guide to Estimating Bayesian Phylogenies From Morphological Data.

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Journal:  Insect Syst Divers       Date:  2019-06-18

5.  Why is Amazonia a 'source' of biodiversity? Climate-mediated dispersal and synchronous speciation across the Andes in an avian group (Tityrinae).

Authors:  Lukas J Musher; Mateus Ferreira; Anya L Auerbach; Jessica McKay; Joel Cracraft
Journal:  Proc Biol Sci       Date:  2019-04-10       Impact factor: 5.349

6.  Critically evaluating the theory and performance of Bayesian analysis of macroevolutionary mixtures.

Authors:  Brian R Moore; Sebastian Höhna; Michael R May; Bruce Rannala; John P Huelsenbeck
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-10       Impact factor: 11.205

7.  MSCquartets 1.0: quartet methods for species trees and networks under the multispecies coalescent model in R.

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Review 9.  Microbial sequence typing in the genomic era.

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Journal:  Infect Genet Evol       Date:  2017-09-21       Impact factor: 3.342

10.  The complex effects of demographic history on the estimation of substitution rate: concatenated gene analysis results in no more than twofold overestimation.

Authors:  Christopher H Martin; Sebastian Höhna; Jacob E Crawford; Bruce J Turner; Emilie J Richards; Lee H Simons
Journal:  Proc Biol Sci       Date:  2017-08-16       Impact factor: 5.349

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