57
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references 30

          • Record: found
          • Abstract: found
          • Article: not found

          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
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Bayes Factors

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Comparison of phylogenetic trees

                Bookmark

                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

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                Categories
                Article

                Life sciences

                Comments

                Comment on this article