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MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms

Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura · Molecular Biology and Evolution · 2018

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Author / responsible party
Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Publisher
Molecular Biology and Evolution
Year
2018
Language
English

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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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APA 7

Kumar, S, Stecher, G, Li, M, Knyaz, C, & Tamura, K. (2018). MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. https://doi.org/10.1093/molbev/msy096

MLA

Kumar, Sudhir, et al. "MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms." 2018. https://doi.org/10.1093/molbev/msy096.

Chicago

Kumar, Sudhir, Glen Stecher, Michael Li, Christina Knyaz, and Koichiro Tamura. 2018. "MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.". https://doi.org/10.1093/molbev/msy096.

Harvard

Kumar, S. et al. 2018, MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms, Molecular Biology and Evolution, available at: https://doi.org/10.1093/molbev/msy096 [Accessed 7 Aug. 2026].

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Title
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Author / contributors
Sudhir Kumar; Glen Stecher; Michael Li; Christina Knyaz; Koichiro Tamura
Publisher
Molecular Biology and Evolution
Publication year
2018
Language
English

Subjects

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Mega-; Emulation; Biology; Software; Virtualization; Phylogenomics; Operating system; OS X; Computer science; Computational biology; Phylogenetic tree; Genetics
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