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      MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms

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          Abstract

          The Molecular Evolutionary Genetics Analysis ( Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.

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          Author and article information

          Contributors
          Role: Associate editor
          Journal
          Mol Biol Evol
          Mol. Biol. Evol
          molbev
          Molecular Biology and Evolution
          Oxford University Press
          0737-4038
          1537-1719
          June 2018
          02 May 2018
          01 June 2019
          : 35
          : 6
          : 1547-1549
          Affiliations
          [1 ]Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA
          [2 ]Department of Biology, Temple University, Philadelphia, PA
          [3 ]Center for Excellence in Genome Medicine and Research, King Abdulaziz University, Jeddah, Saudi Arabia
          [4 ]Research Center for Genomics and Bioinformatics, Tokyo Metropolitan University, Hachioji, Japan
          [5 ]Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Japan
          Author notes

          Joint first authors.

          Corresponding author: E-mail: ktamura@ 123456tmu.ac.jp .
          Article
          PMC5967553 PMC5967553 5967553 msy096
          10.1093/molbev/msy096
          5967553
          29722887
          8c35a62a-bd3e-403f-9b15-c0c87e739ad9
          © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

          This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://academic.oup.com/journals/pages/about_us/legal/notices)

          Page count
          Pages: 3
          Funding
          Funded by: National Institutes of Health 10.13039/100000002
          Award ID: R01GM126567-01
          Funded by: National Science Foundation 10.13039/100000001
          Award ID: ABI 1661218
          Funded by: Japan Society for the Promotion of Science (JSPS)
          Categories
          Resources

          evolution,software,Linux
          evolution, software, Linux

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