Home LiteratureArticle Details
PMID: 27004904 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Molecular biology and evolution ·Vol. 33 ·No. 7 ·2016-00-00 ·Pages 1870-4

Kumar S, Stecher G, Tamura K

Abstract

We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.

Keywords
evolution. gene families software timetree
MeSH Terms
Algorithms Biological Evolution Databases, Genetic Datasets as Topic Evolution, Molecular Internet Phylogeny Sequence Alignment/methods Sequence Analysis/methods Software User-Computer Interface
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Kumar Sudhir
Institute for Genomics and Evolutionary Medicine, Temple University Department of Biology, Temple University Center for Excellence in Genome Medicine and Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Stecher Glen
Institute for Genomics and Evolutionary Medicine, Temple University.
Tamura Koichiro
Research Center for Genomics and Bioinformatics, Tokyo Metropolitan University, Hachioji, Tokyo, Japan Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, Japan ktamura@tmu.ac.jp.
References (12)
12 references, click to expand
  1. Tree of life reveals clock-like speciation and diversification.
    Mol Biol Evol. 2015 Apr;32(4):835-45 PMID: 25739733
  2. MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis.
    Bioinformatics. 2012 Oct 15;28(20):2685-6 PMID: 22923298
  3. The SILVA and "All-species Living Tree Project (LTP)" taxonomic frameworks.
    Nucleic Acids Res. 2014 Jan;42(Database issue):D643-8 PMID: 24293649
  4. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.
    Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6 PMID: 23193283
  5. MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers.
    Comput Appl Biosci. 1994 Apr;10(2):189-91 PMID: 8019868
  6. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.
    Mol Biol Evol. 2013 Dec;30(12):2725-9 PMID: 24132122
  7. MUSCLE: a multiple sequence alignment method with reduced time and space complexity.
    BMC Bioinformatics. 2004 Aug 19;5:113 PMID: 15318951
  8. Prospects for building large timetrees using molecular data with incomplete gene coverage among species.
    Mol Biol Evol. 2014 Sep;31(9):2542-50 PMID: 24974376
  9. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees.
    Mol Biol Evol. 1993 May;10(3):512-26 PMID: 8336541
  10. A simple algorithm to infer gene duplication and speciation events on a gene tree.
    Bioinformatics. 2001 Sep;17(9):821-8 PMID: 11590098
  11. The neighbor-joining method: a new method for reconstructing phylogenetic trees.
    Mol Biol Evol. 1987 Jul;4(4):406-25 PMID: 3447015
  12. Estimating divergence times in large molecular phylogenies.
    Proc Natl Acad Sci U S A. 2012 Nov 20;109(47):19333-8 PMID: 23129628
Article Info
Journal
Molecular biology and evolution
Abbr.
Mol Biol Evol
ISSN
1537-1719
DOI
10.1093/molbev/msw054
Email
ktamura@tmu.ac.jp
Published
2016-00-00
Epub
2016-00-22
Pages
1870-4
Language
English
Region
United States
NLM ID
8501455
PMCID
PMC8210823
Subset
IM
Grants
NHGRI NIH HHS · R01 HG002096 · United States
Corrections
CommentIn
PMID: 27189553
External Links
PubMed source DOI: 10.1093/molbev/msw054 PMC Full Text View journal details
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com

Copyright © 2026.Genelibs Jinan Honghui Biotechnology Co., Ltd. 鲁ICP备20007159号-2