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MEGA2: molecular evolutionary genetics analysis software

Sudhir Kumar; Koichiro Tamura; Ingrid B. Jakobsen; Masatoshi Nei · Bioinformatics · 2001

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Author / responsible party
Sudhir Kumar; Koichiro Tamura; Ingrid B. Jakobsen; Masatoshi Nei
Publisher
Bioinformatics
Year
2001
Language
English

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UNLABELLED: We have developed a new software package, Molecular Evolutionary Genetics Analysis version 2 (MEGA2), for exploring and analyzing aligned DNA or protein sequences from an evolutionary perspective. MEGA2 vastly extends the capabilities of MEGA version 1 by: (1) facilitating analyses of large datasets; (2) enabling creation and analyses of groups of sequences; (3) enabling specification of domains and genes; (4) expanding the repertoire of statistical methods for molecular evolutionary studies; and (5) adding new modules for visual representation of input data and output results on the Microsoft Windows platform. AVAILABILITY: http://www.megasoftware.net. CONTACT: s.kumar@asu.edu

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APA 7

Kumar, S, Tamura, K, Jakobsen, I. B, & Nei, M. (2001). MEGA2: molecular evolutionary genetics analysis software. https://doi.org/10.1093/bioinformatics/17.12.1244

MLA

Kumar, Sudhir, et al. "MEGA2: molecular evolutionary genetics analysis software." 2001. https://doi.org/10.1093/bioinformatics/17.12.1244.

Chicago

Kumar, Sudhir, Koichiro Tamura, Ingrid B. Jakobsen, and Masatoshi Nei. 2001. "MEGA2: molecular evolutionary genetics analysis software.". https://doi.org/10.1093/bioinformatics/17.12.1244.

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Kumar, S. et al. 2001, MEGA2: molecular evolutionary genetics analysis software, Bioinformatics, available at: https://doi.org/10.1093/bioinformatics/17.12.1244 [Accessed 5 Aug. 2026].

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Title
MEGA2: molecular evolutionary genetics analysis software
Author / contributors
Sudhir Kumar; Koichiro Tamura; Ingrid B. Jakobsen; Masatoshi Nei
Publisher
Bioinformatics
Publication year
2001
Language
English

Subjects

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Computer science; Software; Mega-; Human evolutionary genetics; Representation (politics); Perspective (graphical); Computational biology; Biology; Genetics; Programming language; Gene; Phylogenetics
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