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MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers

Kumar, Sudhir, Tamura, Koichiro, Nei, Masatoshi·1994·Bioinformatics

Abstract

A computer program package called MEGA has been developed for estimating evolutionary distances, reconstructing phylogenetic trees and computing basic statistical quantities from molecular data. It is written in C++ and is intended to be used on IBM and IBM-compatible personal computers. In this program, various methods for estimating evolutionary distances from nucleotide and amino acid sequence data, three different methods of phylogenetic inference (UPGMA, neighbor-joining and maximum parsimony) and two statistical tests of topological differences are included. For the maximum parsimony method, new algorithms of branch-and-bound and heuristic searches are implemented. In addition, MEGA computes statistical quantities such as nucleotide and amino acid frequencies, transition/transversion biases, codon frequencies (codon usage tables), and the number of variable sites in specified segments in nucleotide and amino acid sequences. Advanced on-screen sequence data and phylogenetic-tree editors facilitate publication-quality outputs with a wide range of printers. Integrated and interactive designs, on-line context-sensitive helps, and a text-file editor make MEGA easy to use.

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Metadata

Authors
Kumar, S., Tamura, K., & Nei, M.
Venue
Bioinformatics
Published
1994
Volume
10
Issue
2
Pages
189-191
ISSN
  • 0266-7061 (ISSN-L)
  • 1367-4803
  • 1460-2059
OpenAlex
W2097403532
Cited by
1,161
References
0
FWCI
4.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers. https://app.cochat.ai/papers/10.1093/bioinformatics/10.2.189
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Kumar, S., Tamura, K., & Nei, M. (1994). MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers. Bioinformatics. https://doi.org/10.1093/bioinformatics/10.2.189

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