Literature DB >> 31904846

Molecular Evolutionary Genetics Analysis (MEGA) for macOS.

Glen Stecher1, Koichiro Tamura2,3, Sudhir Kumar1,4,5.   

Abstract

The Molecular Evolutionary Genetics Analysis (MEGA) software enables comparative analysis of molecular sequences in phylogenetics and evolutionary medicine. Here, we introduce the macOS version of the MEGA software. This new version eliminates the need for virtualization and emulation programs previously required to use MEGA on Apple computers. MEGA for macOS utilizes memory and computing resources efficiently for conducting evolutionary analyses on macOS. It has a native Cocoa graphical user interface that is programmed to provide a consistent user experience across macOS, Windows, and Linux. MEGA for macOS is available from www.megasoftware.net free of charge.
© The Author(s) 2020. 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.

Entities:  

Keywords:  cross-platform; phylogenetics; software

Mesh:

Year:  2020        PMID: 31904846      PMCID: PMC7086165          DOI: 10.1093/molbev/msz312

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  3 in total

1.  MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis.

Authors:  Sudhir Kumar; Glen Stecher; Daniel Peterson; Koichiro Tamura
Journal:  Bioinformatics       Date:  2012-08-24       Impact factor: 6.937

2.  MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Authors:  Sudhir Kumar; Glen Stecher; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2016-03-22       Impact factor: 16.240

3.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Authors:  Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

  3 in total
  251 in total

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Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

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7.  Clostridium culturomicium sp. nov. and Clostridium jeddahitimonense sp. nov., novel members of the Clostridium genus isolated from the stool of an obese Saudi Arabian.

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Journal:  Curr Microbiol       Date:  2021-07-23       Impact factor: 2.188

8.  Human trans-editing enzyme displays tRNA acceptor-stem specificity and relaxed amino acid selectivity.

Authors:  Oscar Vargas-Rodriguez; Marina Bakhtina; Daniel McGowan; Jawad Abid; Yuki Goto; Hiroaki Suga; Karin Musier-Forsyth
Journal:  J Biol Chem       Date:  2020-10-13       Impact factor: 5.157

9.  Novel viruses associated with plants of the family Amaryllidaceae in South Africa.

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Journal:  Arch Virol       Date:  2021-07-19       Impact factor: 2.574

10.  Characterization of two extracellular arabinanases in Lactobacillus crispatus.

Authors:  Qing Li; Michael G Gänzle
Journal:  Appl Microbiol Biotechnol       Date:  2020-10-29       Impact factor: 4.813

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