Abstract

Abstract We present the latest version of the Molecular Evolutionary Genetics Analysis (M ega ) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, M ega 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 M ega . 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 M ega 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 M ega 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.

Keywords

BiologyHuman evolutionary geneticsEvolutionary biologyComputational biologyMolecular evolutionGeneticsPhylogeneticsGene

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Publication Info

Year
2016
Type
article
Volume
33
Issue
7
Pages
1870-1874
Citations
44061
Access
Closed

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Cite This

Sudhir Kumar, Glen Stecher, Koichiro Tamura (2016). MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Molecular Biology and Evolution , 33 (7) , 1870-1874. https://doi.org/10.1093/molbev/msw054

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DOI
10.1093/molbev/msw054