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Cited by 3,510

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MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences

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Kumar, S., Nei, M., Dudley, J., Tamura, K.·2008·Briefings in Bioinformatics

Abstract

The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families or from different species with a special emphasis on inferring evolutionary relationships and patterns of DNA and protein evolution. In addition to the tools for statistical analysis of data, MEGA provides many convenient facilities for the assembly of sequence data sets from files or web-based repositories, and it includes tools for visual presentation of the results obtained in the form of interactive phylogenetic trees and evolutionary distance matrices. Here we discuss the motivation, design principles and priorities that have shaped the development of MEGA. We also discuss how MEGA might evolve in the future to assist researchers in their growing need to analyze large data set using new computational methods.

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Metadata

Authors
Kumar, S., Nei, M., Dudley, J., & Tamura, K.
Venue
Briefings in Bioinformatics
Published
2008-03-27
Volume
9
Issue
4
Pages
299-306
ISSN
  • 1467-5463 (ISSN-L)
  • 1477-4054
OpenAlex
W2110899053
Cited by
3,510
References
1
FWCI
128.05
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences. https://app.cochat.ai/papers/10.1093/bib/bbn017
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Kumar, S., Nei, M., Dudley, J., & Tamura, K. (2008). MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbn017

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

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