MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Top Cited Papers
Open Access
- 22 March 2016
- journal article
- research article
- Published by Oxford University Press (OUP) in Molecular Biology and Evolution
- Vol. 33 (7), 1870-1874
- https://doi.org/10.1093/molbev/msw054
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
Funding Information
- NIH
This publication has 13 references indexed in Scilit:
- Tree of Life Reveals Clock-Like Speciation and DiversificationMolecular Biology and Evolution, 2015
- Prospects for Building Large Timetrees Using Molecular Data with Incomplete Gene Coverage among SpeciesMolecular Biology and Evolution, 2014
- The SILVA and “All-species Living Tree Project (LTP)” taxonomic frameworksNucleic Acids Research, 2013
- MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0Molecular Biology and Evolution, 2013
- The SILVA ribosomal RNA gene database project: improved data processing and web-based toolsNucleic Acids Research, 2012
- Estimating divergence times in large molecular phylogeniesProceedings of the National Academy of Sciences of the United States of America, 2012
- MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysisBioinformatics, 2012
- Caloramator viterbensis sp. nov., a novel thermophilic, glycerol-fermenting bacterium isolated from a hot spring in ItalyInternational Journal of Systematic and Evolutionary Microbiology, 2002
- A simple algorithm to infer gene duplication and speciation events on a gene treeBioinformatics, 2001
- MEGA: Molecular Evolutionary Genetics Analysis software for microcomputersBioinformatics, 1994