Molecular Evolutionary Genetics Analysis (MEGA) for macOS

被引：1217

作者：

Stecher, Glen ^{[1
]}

Tamura, Koichiro ^{[2
,3
]}

Kumar, Sudhir ^{[1
,4
,5
]}

机构：

[1] Temple Univ, Inst Genom & Evolutionary Med, Philadelphia, PA 19122 USA

[2] Tokyo Metropolitan Univ, Res Ctr Genom & Bioinformat, Hachioji, Tokyo, Japan

[3] Tokyo Metropolitan Univ, Dept Biol Sci, Hachioji, Tokyo, Japan

[4] Temple Univ, Dept Biol, Philadelphia, PA 19122 USA

[5] King Abdulaziz Univ, Ctr Excellence Genome Med & Res, Jeddah, Saudi Arabia

来源：

MOLECULAR BIOLOGY AND EVOLUTION | 2020年 / 37卷 / 04期

基金：

日本学术振兴会; 美国国家卫生研究院; 美国国家科学基金会;

关键词：

software; phylogenetics; cross-platform;

D O I：

10.1093/molbev/msz312

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The Molecular Evolutionary Genetics Analysis (MEGA) software enables comparative analysis of molecular sequences in phylogenetics and evolutionarymedicine. Here, we introduce themacOS version of theMEGA software. This new version eliminates the need for virtualization and emulation programs previously required to use MEGA on Apple computers. MEGA formacOS utilizesmemory and computing resources efficiently for conducting evolutionary analyses onmacOS. It has a native Cocoa graphical user interface that is programmed to provide a consistent user experience across macOS, Windows, and Linux.

引用

页码：1237 / 1239

页数：3

共 4 条

[1]

Greenblatt M., 2019, CHROMIUM EMBEDDED FR

[2] MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms [J].

Kumar, Sudhir ;

Stecher, Glen ;

Li, Michael ;

Knyaz, Christina ;

Tamura, Koichiro .

MOLECULAR BIOLOGY AND EVOLUTION, 2018, 35 (06) :1547-1549

[3]

Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msv279, 10.1093/molbev/msw054]

[4] MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis [J].

Kumar, Sudhir ;

Stecher, Glen ;

Peterson, Daniel ;

Tamura, Koichiro .

BIOINFORMATICS, 2012, 28 (20) :2685-2686

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