MOLECULAR EVOLUTIONARY
GENETICS ANALYSIS
Authors: Koichiro Tamura, Glen Stecher, Daniel Peterson, and Sudhir Kumar
Version 6.0.5
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MEGA Team

Chief Programmers: Koichiro Tamura and Sudhir Kumar
Interface Design/Programming: Sudhir Kumar, Koichiro Tamura, Glen Stecher, and Dan Peterson
Methods/Algorithms Programming: Koichiro Tamura and Sudhir Kumar
Scientific Considerations: Sudhir Kumar, Koichiro Tamura & Masatoshi Nei
   
Associate Programmers:
Glen Stecher & Daniel Peterson MEGA 6
Daniel Peterson & Nicholas Peterson & Glen Stecher MEGA 5
Joel Dudley MEGA 4
Ingrid Jakobsen MEGA 2
   
Technical Assistants:
Lin-wei Wu  
Wayne Parkhurst  
   

Acknowledgements:

We thank our colleagues, students, and volunteers who spent countless hours using test versions of MEGA. They continue to provide valuable feedback pertaining to the ease-of-use of the user interface and software bugs. We thank the community at large for using MEGA and providing many suggestions. These comments help us to improve the user interface and encourage us to implement new methods. The MEGA software project has been supported over the years by research grants from the National Institutes of Health (NIH) and Japan Society for the Promotion of Science (JSPS).

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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.
  MEGA: Molecular Evolutionary Genetics Analysis (1993).
Institute of Molecular Evolutionary Genetics. University Park, PA, USA.
  Building Phylogenetic Trees from Molecular Data with MEGA(2013)
A Paper, which explains how to construct phylogenetic trees using MEGA.
  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

  NEW! Online Manual NEW!
Reference and documentation.
  MEGA 6 release notes
A list of major changes and new features in the current stable version of MEGA.
  Update History
A comprehensive list of major changes with each software release.
  Report a Bug
Help us improve our software by reporting problems you encounter using MEGA.
  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.
  Known Issues
Known issues which exist in MEGA.
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Download Stats

MEGA 6 Downloads:
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 6:
Tamura K, Stecher G, Peterson D, Filipski A, and Kumar S (2013) MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Molecular Biology and Evolution 30: 2725-2729.
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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 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 4:
Tamura K, Dudley J, Nei M and Kumar S (2007) MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Molecular Biology and Evolution 24: 1596-1599.
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Citation for MEGA 3:
Kumar S, Tamura K, Nei M (2004) MEGA3: Integrated Software for Molecular Evolutionary Genetics Analysis and Sequence Alignment. Briefings in Bioinformatics 5:150-163.
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Citation for MEGA 2:
Kumar S, Tamura K, Jakobsen IB, Nei M (2001) MEGA2: Molecular Evolutionary Genetics Analysis Software. Bioinformatics 17:1244-1245.
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Citation for MEGA 1:
Kumar S, Tamura K, Nei M. (1994) MEGA: Molecular Evolutionary Genetics Analysis Software for Microcomputers. Computer Applications in Biosciences 10:189-191.
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