MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets

MEGA7: Molecular Evolutionary Genetics Analysis версия 7.0 для больших наборов данных
Koichiro Tamura, Glen Stecher, Sudhir Kumar
2016-03-22
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64-bit optimizationMEGA7Molecular Evolutionary Genetics Analysisautomatic gene duplication predictiontimetree building wizard
Abstract (AI)
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.
Key Findings
1
Both GUI and command-line versions of MEGA7 are freely available from www.megasoftware.net for high-throughput and scripted analyses.
2
MEGA7 adds automatic prediction of gene duplication events in gene family trees.
3
MEGA7 includes an advanced wizard for building timetrees to streamline divergence time analyses.
4
MEGA7 is distributed as both a graphical Windows-native GUI (also usable on Mac OS X) and command-line native applications for Windows, Linux, and Mac OS X.
5
MEGA7 is optimized for 64-bit systems, enabling analysis of much larger datasets including tens of thousands of sequences.
Research Object

Molecular Evolutionary Genetics Analysis (MEGA) software version 7.0

Research Subject

Scalability and new analysis functionalities for bigger phylogenomic datasets on 64-bit systems, including timetree-building wizard, automatic gene duplication prediction in gene family trees, and GUI/command-line high-throughput usage

Publication Details
Publication Date
2016-03-22
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Author Information
Authors
Koichiro Tamura
Glen Stecher
Sudhir Kumar
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