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      ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

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          Abstract

          Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.

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          Most cited references30

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          ProtTest: selection of best-fit models of protein evolution.

          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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            Comparison of phylogenetic trees

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              Bayes Factors

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                Author and article information

                Journal
                101215604
                32338
                Nat Methods
                Nat. Methods
                Nature methods
                1548-7091
                1548-7105
                18 April 2017
                08 May 2017
                June 2017
                08 November 2017
                : 14
                : 6
                : 587-589
                Affiliations
                [1 ]Land & Water, CSIRO, Canberra, Australian Capital Territory, Australia
                [2 ]Faculty of Pharmacy & Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
                [3 ]Center for Integrative Bioinformatics Vienna, Max F. Perutz Laboratories, University of Vienna & Medical University of Vienna, Vienna, Austria
                [4 ]Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
                [5 ]Bioinformatics and Computational Biology, Faculty of Computational Science, University of Vienna, Vienna, Austria
                Author notes
                [* ]Correspondence should be addressed to L.S.J. ( lars.jermiin@ 123456anu.edu.au )
                [#]

                Joint first authors (these authors contributed equally to this work)

                Article
                EMS72237
                10.1038/nmeth.4285
                5453245
                28481363
                723ac4a2-fd20-4049-9634-b385f1de3473

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                Life sciences
                Life sciences

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