Kumar Sudhir, Nei Masatoshi, Dudley Joel, Tamura Koichiro
Biodesign Institute, A240, Arizona State University, Tempe, AZ 85287-5301, USA.
Brief Bioinform. 2008 Jul;9(4):299-306. doi: 10.1093/bib/bbn017. Epub 2008 Apr 16.
The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families or from different species with a special emphasis on inferring evolutionary relationships and patterns of DNA and protein evolution. In addition to the tools for statistical analysis of data, MEGA provides many convenient facilities for the assembly of sequence data sets from files or web-based repositories, and it includes tools for visual presentation of the results obtained in the form of interactive phylogenetic trees and evolutionary distance matrices. Here we discuss the motivation, design principles and priorities that have shaped the development of MEGA. We also discuss how MEGA might evolve in the future to assist researchers in their growing need to analyze large data set using new computational methods.
分子进化遗传学分析(MEGA)软件是一款桌面应用程序,旨在对多基因家族或不同物种的同源基因序列进行比较分析,特别侧重于推断进化关系以及DNA和蛋白质的进化模式。除了用于数据统计分析的工具外,MEGA还提供了许多便捷功能,可用于从文件或基于网络的数据库中组装序列数据集,并且它包括以交互式系统发育树和进化距离矩阵的形式直观呈现所得结果的工具。在此,我们讨论了塑造MEGA发展的动机、设计原则和优先事项。我们还讨论了MEGA未来可能如何发展,以帮助研究人员满足他们日益增长的使用新计算方法分析大数据集的需求。