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Briefings in Bioinformatics Advance Access originally published online on April 16, 2008
Briefings in Bioinformatics 2008 9(4):299-306; doi:10.1093/bib/bbn017
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© The Author 2008. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

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

Sudhir Kumar, Masatoshi Nei, Joel Dudley and Koichiro Tamura

Corresponding author. Sudhir Kumar, Biodesign Institute, A240, Arizona State University, Tempe, AZ 85287-5301, USA. E-mail: s.kumar{at}asu.edu

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.

Keywords: phylogenetics, genome, evolution, software

Submitted: January 18, 2008. Received (in revised form): March 13, 2008.


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