Molecular evolutionary genetics analysis (MEGA) for macOS

Molecular Biology and Evolution

Volumn 37, Issue 4, 2020, Pages 1237-1239

  Stecher, Glen ^a   Tamura, Koichiro ^b   Kumar, Sudhir ^a,c,d  

^a TEMPLE UNIVERSITY   (United States)

^b TOKYO METROPOLITAN UNIVERSITY   (Japan)

^c Temple University   (United States)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

cross platform; phylogenetics; software

Indexed keywords

ARTICLE; HUMAN; MEMORY; MOLECULAR EVOLUTION; MOLECULAR GENETICS; PHYLOGENY; SOFTWARE; GENETIC PROCEDURES;

EVOLUTION, MOLECULAR; GENETIC TECHNIQUES; SOFTWARE;

EID: 85078657273     PISSN: 07374038     EISSN: 15371719     Source Type: Journal    
DOI: 10.1093/molbev/msz312     Document Type: Article

References (4)

1. Greenblatt M. 2019. Chromium embedded framework. Available from: https://bitbucket.org/chromiumembedded/cef (last accessed on December 27, 2019).
2. Kumar S, Stecher G, LiM, Knyaz C, Tamura K. 2018.MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 35(6):1547-1549.
3. Kumar S, Stecher G, Tamura K. 2016. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 33(7):1870-1874.
4. Kumar S, Stecher G, Peterson D, Tamura K. 2012.MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis. Bioinformatics 28(20):2685-2686.