Conditional Approximate Bayesian Computation: A New Approach for Across-Site Dependency in High-Dimensional Mutation–Selection Models-Reference-Cited by-同舟云学术

Conditional Approximate Bayesian Computation: A New Approach for Across-Site Dependency in High-Dimensional Mutation–Selection Models

Published:2018-09-07 Issue:11 Volume:35 Page:2819-2834
ISSN:0737-4038
Container-title:Molecular Biology and Evolution
language:en
Short-container-title:

Author:

Laurin-Lemay Simon¹,Rodrigue Nicolas²,Lartillot Nicolas³,Philippe Hervé¹⁴

Affiliation:

1. Robert-Cedergren Center for Bioinformatics and Genomics, Department of Biochemistry and Molecular Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada

2. Department of Biology, Institute of Biochemistry, and School of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada

3. Laboratoire de Biométrie et Biologie Évolutive, UMR CNRS 5558, Université Lyon 1, Lyon, France

4. Centre de Théorisation et de Modélisation de la Biodiversité, Station d’Écologie Théorique et Expérimentale, UMR CNRS 5321, Moulis, France

Funder

French Laboratory of Excellence project entitled TULIP

Natural Sciences and Engineering Research Council of Canada

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

Link

http://academic.oup.com/mbe/article-pdf/35/11/2819/26508834/msy173.pdf

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4. Approximate Bayesian computation in population genetics;Beaumont;Genetics,2002

5. Accurate estimation of substitution rates with neighbor-dependent models in a phylogenetic context;Berard;Syst Biol,2012

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