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      phytools 2.0: an updated R ecosystem for phylogenetic comparative methods (and other things)

      research-article
      PeerJ
      PeerJ Inc.
      Phylogenetic comparative methods, Phylogeny, Computational biology

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          Abstract

          Phylogenetic comparative methods comprise the general endeavor of using an estimated phylogenetic tree (or set of trees) to make secondary inferences: about trait evolution, diversification dynamics, biogeography, community ecology, and a wide range of other phenomena or processes. Over the past ten years or so, the phytools R package has grown to become an important research tool for phylogenetic comparative analysis. phytools is a diverse contributed R library now consisting of hundreds of different functions covering a variety of methods and purposes in phylogenetic biology. As of the time of writing, phytools included functionality for fitting models of trait evolution, for reconstructing ancestral states, for studying diversification on trees, and for visualizing phylogenies, comparative data, and fitted models, as well numerous other tasks related to phylogenetic biology. Here, I describe some significant features of and recent updates to phytools, while also illustrating several popular workflows of the phytools computational software.

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          Most cited references159

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          ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

          After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
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            phytools: an R package for phylogenetic comparative biology (and other things)

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              APE: Analyses of Phylogenetics and Evolution in R language.

              Analysis of Phylogenetics and Evolution (APE) is a package written in the R language for use in molecular evolution and phylogenetics. APE provides both utility functions for reading and writing data and manipulating phylogenetic trees, as well as several advanced methods for phylogenetic and evolutionary analysis (e.g. comparative and population genetic methods). APE takes advantage of the many R functions for statistics and graphics, and also provides a flexible framework for developing and implementing further statistical methods for the analysis of evolutionary processes. The program is free and available from the official R package archive at http://cran.r-project.org/src/contrib/PACKAGES.html#ape. APE is licensed under the GNU General Public License.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                5 January 2024
                2024
                : 12
                : e16505
                Affiliations
                [1 ]Department of Biology, University of Massachusetts Boston , Boston, MA, USA
                [2 ]Facultad de Ciencias, Universidad Católica de la Santísima Concepción , Concepción, Chile
                Article
                16505
                10.7717/peerj.16505
                10773453
                38192598
                9ced93b0-3a5c-4ec5-ac45-268d947326a0
                ©2024 Revell

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 10 March 2023
                : 31 October 2023
                Funding
                Funded by: The National Science Foundation
                Award ID: DEB-1350474
                Award ID: DBI-1759940
                Funded by: FONDECYT, Chile
                Award ID: 1201869
                This work was funded by grants from the National Science Foundation (DEB-1350474, DBI-1759940) and FONDECYT, Chile (1201869). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Bioinformatics
                Computational Biology
                Evolutionary Studies
                Statistics

                phylogenetic comparative methods,phylogeny,computational biology

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