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MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers
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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Cited by
MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
Tamura, K., Stecher, G., Peterson, D., Filipski, A., & Kumar, S. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst197 · Cited by 47,205
Self-citationMEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Kumar, S., Stecher, G., & Tamura, K. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw054 · Cited by 44,059
Self-citationTamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., & Kumar, S. (2011) · Molecular Biology and Evolution · doi:10.1093/molbev/msr121 · Cited by 39,969
Self-citationMEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy096 · Cited by 37,529
Self-citationMEGA11: Molecular Evolutionary Genetics Analysis Version 11
Tamura, K., Stecher, G., & Kumar, S. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab120 · Cited by 22,403
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Metadata
- Authors
- Kumar, S., Tamura, K., & Nei, M.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- 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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- 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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