citing mega in publications

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Citing MEGA in Publications If you wish to cite MEGA in your publications, we suggest the following: (1) When referring to MEGA in the main text of your publication, you may choose a format such as: Phylogenetic and molecular evolutionary analyses were conducted using MEGA version 5 (Tamura, Peterson, Stecher, Nei, and Kumar 2011). (2) When including a MEGA citation in the Literature Cited/Bibliography section, you may use the following: 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 (submitted). (Publication PDF at http://www.kumarlab.net/publications ) 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(10):2731-2739.2011 doi:10.1093/molbev/msr121 Advance Acess publication May4,2011 BioEdit version 7.0.0 Copyright ©1997-2004 Tom Hall Current version built 7/2//2004

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Page 1: Citing MEGA in Publications

Citing MEGA in Publications

If you wish to cite MEGA in your publications, we suggest the following:

(1) When referring to MEGA in the main text of your publication, you may choose a format such as:

Phylogenetic and molecular evolutionary analyses were conducted using MEGA version 5 (Tamura, Peterson, Stecher, Nei, and Kumar 2011).

(2) When including a MEGA citation in the Literature Cited/Bibliography section, you may use the following:

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 (submitted).

 (Publication PDF at http://www.kumarlab.net/publications)

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(10):2731-2739.2011 doi:10.1093/molbev/msr121 Advance Acess publication May4,2011

BioEdit version 7.0.0

Copyright ©1997-2004

Tom Hall

Current version built 7/2//2004

BioEdit is a biological sequence editor that runs in Windows 95/98/NT/2000/XP and is intended to provide basic functions for protein and nucleic sequence editing, alignment, manipulation and analysis. BioEdit is not a powerful sequence analysis program, but offers many quick and easy functions for sequence editing, annotation and manipulation, as well as a few links to external sequence analysis programs. Sequence lengths and numbers are limited only by available system memory. Alignments >100 Mb have been edited on an average desktop with reasonable efficiency. The document interface was originally modeled after the very nice programs SeqApp and SeqPup by Don Gilbert. SeqApp (Macintosh) and SeqPup (cross-platform) are offered free of charge from Indiana University at:

Page 2: Citing MEGA in Publications

ftp://iubio.bio.indiana.edu/molbio/seqpup/