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MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms

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

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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Metadata

Authors
Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K.
Venue
Molecular Biology and Evolution
Published
2018-05-02
Volume
35
Issue
6
Pages
1547-1549
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2799524357
Cited by
37,529
References
0
FWCI
1066.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. https://app.cochat.ai/papers/10.1093/molbev/msy096
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Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018). MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msy096

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.