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MEGA2: molecular evolutionary genetics analysis software

Open access
Kumar, Sudhir, Tamura, Koichiro, Jakobsen, Ingrid B., Nei, Masatoshi·2001·Bioinformatics

Abstract

Summary: 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 * To whom correspondence should be addressed.

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Crossref · 10.1093/bioinformatics/17.12.1244

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Metadata

Authors
Kumar, S., Tamura, K., Jakobsen, I. B., & Nei, M.
Venue
Bioinformatics
Published
2001-12-01
Volume
17
Issue
12
Pages
1244-1245
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2156434383
Cited by
6,097
References
1
FWCI
206.71
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: MEGA2: molecular evolutionary genetics analysis software. https://app.cochat.ai/papers/10.1093/bioinformatics/17.12.1244
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Kumar, S., Tamura, K., Jakobsen, I. B., & Nei, M. (2001). MEGA2: molecular evolutionary genetics analysis software. Bioinformatics. https://doi.org/10.1093/bioinformatics/17.12.1244

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.