MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets

Sudhir Kumar; Glen Stecher; Koichiro Tamura · Molecular Biology and Evolution · 2016

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Autor / responsable

Sudhir Kumar; Glen Stecher; Koichiro Tamura

Editorial

Molecular Biology and Evolution

Año

2016

Idioma

en

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We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.

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APA 7

Kumar, S, Stecher, G, & Tamura, K. (2016). MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. https://doi.org/10.1093/molbev/msw054

MLA

Kumar, Sudhir, et al. "MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets." 2016. https://doi.org/10.1093/molbev/msw054.

Chicago

Kumar, Sudhir, Glen Stecher, and Koichiro Tamura. 2016. "MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.". https://doi.org/10.1093/molbev/msw054.

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Kumar, S, Stecher, G. and Tamura, K. 2016, MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets, Molecular Biology and Evolution, available at: https://doi.org/10.1093/molbev/msw054 [Accessed 25 Jun. 2026].

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Título: MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets

Autor / colaboradores: Sudhir Kumar; Glen Stecher; Koichiro Tamura

Editorial: Molecular Biology and Evolution

Año de publicación: 2016

Idioma: en

Materias

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Biology; Human evolutionary genetics; Evolutionary biology; Computational biology; Molecular evolution; Genetics; Phylogenetics; Gene