MEGA, Molecular Evolutionary Genetics Analysis

MEGA, Molecular Evolutionary Genetics Analysis, is a freely available software to aid scientists and students in making dendrograms, or phylogenetic trees using nucleotide or protein sequences. It is developed by Koichiro Tamura from Tokyo Metropolitan University, Daniel Peterson, Nicholas Peterson, Glen Stecher, Sudhir Kumar from Arizona State University, and Masatoshi Nei from Pennsylvania State University. The manuscripts describing this resource are among the most highly cited in biology.[1][2][3][4][5]

Currently MEGA is available in its regular version 5.0.5 and previous versions (4.02, 3.1, DOS) from its homepage.

External links

References

  1. ^ Kumar S, Tamura K, Nei M (April 1994). "MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers". Comput. Appl. Biosci. 10 (2): 189–91. PMID 8019868. 
  2. ^ Kumar S, Tamura K, Jakobsen IB, Nei M (December 2001). "MEGA2: molecular evolutionary genetics analysis software". Bioinformatics 17 (12): 1244–5. doi:10.1093/bioinformatics/17.12.1244. PMID 11751241. 
  3. ^ Kumar S, Tamura K, Nei M (June 2004). "MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment". Brief. Bioinformatics 5 (2): 150–63. PMID 15260895. 
  4. ^ Tamura K, Dudley J, Nei M, Kumar S (August 2007). "MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0". Mol. Biol. Evol. 24 (8): 1596–9. doi:10.1093/molbev/msm092. PMID 17488738. 
  5. ^ Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S (May 2011). "MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods". Mol Biol Evol. doi:10.1093/molbev/msr121. PMID 21546353.