title: MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.
abstract: 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.
authors.affiliation: Institute for Genomics and Evolutionary Medicine, Temple University Department of Biology, Temple University Center for Excellence in Genome Medicine and Research, King Abdulaziz University, Jeddah, Saudi Arabia.
authors.forename: Sudhir
authors.initials: S
authors.lastname: Kumar
authors.affiliation: Institute for Genomics and Evolutionary Medicine, Temple University.
authors.forename: Glen
authors.initials: G
authors.lastname: Stecher
authors.affiliation: Research Center for Genomics and Bioinformatics, Tokyo Metropolitan University, Hachioji, Tokyo, Japan Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, Japan ktamura@tmu.ac.jp.
authors.forename: Koichiro
authors.initials: K
authors.lastname: Tamura
mesh_terms: D000465:Algorithms; D005075:Biological Evolution; D030541:Databases, Genetic; D066264:Datasets as Topic; D019143:Evolution, Molecular; D020407:Internet; D010802:Phylogeny; D016415:Sequence Alignment / Q000379:methods*; D017421:Sequence Analysis / Q000379:methods*; D012984:Software; D014584:User-Computer Interface
keywords: evolution.; gene families; software; timetree