MOLECULAR EVOLUTIONARY
GENETICS ANALYSIS
Authors: Koichiro Tamura, Daniel Peterson, Nicholas Peterson, Glen Stecher, Masatoshi Nei and Sudhir Kumar
Version 5.2.1
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To report a bug, please use the Bug Submission form.

To send the authors a suggestion about MEGA or the MEGA website, please use the Suggestion Box.

For technical questions, please browse the FAQ.

Our mailing address is as follows:
Center for Evolutionary Medicine and Informatics
The Biodesign Institute
1001 S. McAllister Ave
PO Box 875301
Tempe, AZ 85287-5301 USA

Fax: 480-727-6947

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Resources

Book Book Molecular Evolution and Phylogenetics (2000)
Introductory book containing many examples for use with MEGA.
Book Book Phylogenetic Trees Made Easy (2011) (2007)
A cookbook for learning phylogenetic analysis using MEGA and other programs.
  A Walk Through MEGA
Step-by-step instructions to learn how to use MEGA.
  Useful Publications
MEGA related publications.
  MEGA Team
Research and development team.
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Using MEGA

  Report a Bug
Help us improve our software by reporting problems you encounter using MEGA.
  Update History
List of major changes with each software release.
  Online Manual
Reference and documentation.
  Example Data
The following data files are provided as downloads for reference purposes.
  Suggestion Box
User feedback plays an important role in the development of MEGA.
  FAQ
Frequently asked questions.
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Download Stats

MEGA 5 Downloads:
MEGA 4 Downloads:
MEGA 3 Downloads: 106,285
MEGA 2 Downloads: 69,828
MEGA 1 Downloads: 2,929
Contact Us
Email us with any questions or concerns.
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Citing MEGA in a Publication

Citation for MEGA 5:
Tamura K, Peterson D, Peterson N, Stecher G, Nei M, and Kumar S (2011) MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Molecular Biology and Evolution 28: 2731-2739.
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Citation for MEGA-CC:
Kumar S, Stecher G, Peterson D, and Tamura K (2012) MEGA-CC: Computing Core of Molecular Evolutionary Genetics Analysis Program for Automated and Iterative Data Analysis. Bioinformatics 28:2685-2686.
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Citation for MEGA 4:
Tamura K, Dudley J, Nei M & Kumar S (2007) MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Molecular Biology and Evolution 24: 1596-1599.
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