MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets

S Kumar, G Stecher, K Tamura - Molecular biology and evolution, 2016 - academic.oup.com
S Kumar, G Stecher, K Tamura
Molecular biology and evolution, 2016academic.oup.com
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 …
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.
Oxford University Press