Kumar Sudhir, Stecher Glen, Tamura Koichiro
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.
Institute for Genomics and Evolutionary Medicine, Temple University.
Mol Biol Evol. 2016 Jul;33(7):1870-4. doi: 10.1093/molbev/msw054. Epub 2016 Mar 22.
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.
我们展示了最新版本的分子进化遗传学分析软件(Mega),它包含了许多用于系统发育基因组学和系统发育医学的精密方法和工具。在这次重大升级中,Mega已针对在64位计算系统上分析更大数据集进行了优化。研究人员现在可以在Mega中探索和分析数以万计的序列。新版本还提供了一个用于构建时间树的高级向导,并包括一项自动预测基因家族树中基因复制事件的新功能。64位Mega有两种界面可供使用:图形界面和命令行界面。图形用户界面(GUI)是一个原生的Microsoft Windows应用程序,也可在Mac OS X上使用。命令行Mega作为适用于Windows、Linux和Mac OS X的原生应用程序提供。它们旨在用于高通量和脚本化分析。两个版本均可从www.megasoftware.net免费获取。