article Open AccessTop 1% cited
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Molecular Biology and Evolution · 2018 · Vol. 35(6) · pp. 1547–1549
Sudhir Kumar(Temple University)Glen Stecher(Temple University)Michael Li(Temple University)Christina Knyaz(Temple University)Koichiro Tamura✉(Tokyo Metropolitan University)
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.
Genomics and Phylogenetic StudiesEvolution and Genetic DynamicsEvolutionary Algorithms and ApplicationsMega-EmulationBiologySoftwareVirtualizationPhylogenomicsOperating systemOS XComputer scienceComputational biology
MeSH terms
Genetic TechniquesPhylogenySoftwareEvolution, Molecular
Funding
- National Science Foundation
- National Institutes of Health
- Japan Society for the Promotion of Science
Citations
37,942
FWCI
1368.13
field-weighted impact
References
5
Percentile
100%
vs. same field & year
Citations per year
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References
MEGA2: molecular evolutionary genetics analysis software
Bioinformatics · 2001 · 6,123 citations
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Molecular Biology and Evolution · 2016 · 45,127 citations
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