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Molecular Evolutionary Genetics Analysis (MEGA) is computer software for conducting statistical analysis of molecular evolution and for constructing phylogenetic trees. It includes many sophisticated methods and tools for phylogenomics and phylomedicine. It is licensed as proprietary freeware. The project for developing this software was initiated by the leadership of Masatoshi Nei in his laboratory at the Pennsylvania State University in collaboration with his graduate student Sudhir Kumar and postdoctoral fellow Koichiro Tamura. Nei wrote a monograph (pp. 130) outlining the scope of the software and presenting new statistical methods that were included in MEGA. The entire set of computer programs was written by Kumar and Tamura. The personal computers then lacked the ability to send the

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  • Molecular Evolutionary Genetics Analysis (en)
  • MEGA, Molecular Evolutionary Genetics Analysis (pt)
  • 分子进化遗传学分析 (zh)
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  • MEGA, Molecular Evolutionary Genetics Analysis, é um software livre disponível para ajudar cientistas e estudantes na elaboração de dendrogramas ou árvores filogenéticas usando sequências de nucleótidos ou proteínas. É desenvolvido por Koichiro Tamura da , Daniel Peterson, Nicholas Peterson, Glen Stecher, Sudhir Kumar da Arizona State University, e Nei Masatoshi da Pennsylvania State University. Os manuscritos descrevendo este recurso estão entre os mais citados em biologia. Atualmente MEGA está disponível em sua versão regular 5.2.2 e versões anteriores (4.02, 3.1, DOS) em sua homepage. (pt)
  • 分子进化遗传学分析（英語：Molecular Evolutionary Genetics Analysis，缩写MEGA）是一个生物信息学软件，可通过分子演化统计学分析建立系統發生樹，最初由宾夕法尼亚州立大学的根井正利团队开发。 (zh)
  • Molecular Evolutionary Genetics Analysis (MEGA) is computer software for conducting statistical analysis of molecular evolution and for constructing phylogenetic trees. It includes many sophisticated methods and tools for phylogenomics and phylomedicine. It is licensed as proprietary freeware. The project for developing this software was initiated by the leadership of Masatoshi Nei in his laboratory at the Pennsylvania State University in collaboration with his graduate student Sudhir Kumar and postdoctoral fellow Koichiro Tamura. Nei wrote a monograph (pp. 130) outlining the scope of the software and presenting new statistical methods that were included in MEGA. The entire set of computer programs was written by Kumar and Tamura. The personal computers then lacked the ability to send the (en)
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  • Molecular Evolutionary Genetics Analysis (en)
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  • Molecular Evolutionary Genetics Analysis (en)
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  • http://commons.wikimedia.org/wiki/Special:FilePath/MEGA7_logo.png
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  • Masatoshi Nei, Sudhir Kumar, Koichiro Tamura, Glen Stecher, Daniel Peterson, Nicholas Peterson (en)
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  • English (en)
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  • MEGA7 logo.png (en)
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  • White sans-serif capital letters spelling MEGA, each in a separate square, colored one red and three black, respectively. (en)
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  • Molecular Evolutionary Genetics Analysis (MEGA) is computer software for conducting statistical analysis of molecular evolution and for constructing phylogenetic trees. It includes many sophisticated methods and tools for phylogenomics and phylomedicine. It is licensed as proprietary freeware. The project for developing this software was initiated by the leadership of Masatoshi Nei in his laboratory at the Pennsylvania State University in collaboration with his graduate student Sudhir Kumar and postdoctoral fellow Koichiro Tamura. Nei wrote a monograph (pp. 130) outlining the scope of the software and presenting new statistical methods that were included in MEGA. The entire set of computer programs was written by Kumar and Tamura. The personal computers then lacked the ability to send the monograph and software electronically, so they were delivered by postal mail. From the start, MEGA was intended to be easy-to-use and include solid statistical methods only. MEGA version 2 (MEGA2), which was coauthored by an additional investigator Ingrid Jakobson, was released in 2001. All the computer programs and the readme files of this version could be sent electronically due to advances in computer technology. Around this time, the leadership of the MEGA project was taken over by Kumar (now at Temple University) and Tamura (now at Tokyo Metropolitan University). The monograph Molecular Evolutionary Genetics Analysis was often used as a textbook for new ways to study molecular evolution. MEGA has been updated and expanded several times and currently all these versions are available from the MEGA website. The latest release, MEGA7, has been optimized for use on 64-bit computing systems. MEGA is in two version. A graphical user interface is available as a native Microsoft Windows program. A command line version, MEGA-Computing Core (MEGA-CC), is available for native cross-platform operation. The method is widely used and cited. With millions of downloads across the releases, MEGA is cited in more than 85,000 papers. The 5th version has been cited over 25,000 times in 4 years. (en)
  • MEGA, Molecular Evolutionary Genetics Analysis, é um software livre disponível para ajudar cientistas e estudantes na elaboração de dendrogramas ou árvores filogenéticas usando sequências de nucleótidos ou proteínas. É desenvolvido por Koichiro Tamura da , Daniel Peterson, Nicholas Peterson, Glen Stecher, Sudhir Kumar da Arizona State University, e Nei Masatoshi da Pennsylvania State University. Os manuscritos descrevendo este recurso estão entre os mais citados em biologia. Atualmente MEGA está disponível em sua versão regular 5.2.2 e versões anteriores (4.02, 3.1, DOS) em sua homepage. (pt)
  • 分子进化遗传学分析（英語：Molecular Evolutionary Genetics Analysis，缩写MEGA）是一个生物信息学软件，可通过分子演化统计学分析建立系統發生樹，最初由宾夕法尼亚州立大学的根井正利团队开发。 (zh)
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  • 11.0.11
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