MOLECULAR EVOLUTIONARY
GENETICS ANALYSIS
Authors: Koichiro Tamura, Glen Stecher, Daniel Peterson, and Sudhir Kumar
Version 6.0.5
Download MEGA 6 for Windows
Download MEGA 6 for Windows
Updated: Jan 22 2014
Build: 6140122
Download MEGA 6 for Mac OS X
Download MEGA 6 for Mac
Updated: June 10 2014
Build: 6140220
Download MEGA CC
Download MEGA CC
Updated: Dec 11 2013
Build: 6131211
other versions
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About MEGA

MEGA is an integrated tool for conducting sequence alignment, inferring phylogenetic trees, estimating divergence times, mining online databases, estimating rates of molecular evolution, inferring ancestral sequences, and testing evolutionary hypotheses. MEGA is used by biologists in a large number of laboratories for reconstructing the evolutionary histories of species and inferring the extent and nature of the selective forces shaping the evolution of genes and species. - Download PDF

About MEGA Computational Core (MEGA-CC)

MEGA-CC provides a command line interface to the computational core in MEGA enabling researchers to automate and pipeline analyses via scripts, other applications, or the built-in file iterator system. - Download PDF

MEGA 6 Toolbar (Mouse-Over to Preview)

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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: 116,920
MEGA 5 Downloads: 405,501
MEGA 4 Downloads: 343,891
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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