MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets

被引:1000
作者
Kumar, Sudhir [1 ,2 ,3 ]
Stecher, Glen [1 ]
Tamura, Koichiro [4 ,5 ]
机构
[1] Temple Univ, Inst Genom & Evolutionary, Philadelphia, PA 19122 USA
[2] Temple Univ, Dept Biol, Philadelphia, PA 19122 USA
[3] King Abdulaziz Univ, Ctr Excellence Genome Med & Res, Jeddah 21413, Saudi Arabia
[4] Tokyo Metropolitan Univ, Res Ctr Genom & Bioinformat, Hachioji, Tokyo, Japan
[5] Tokyo Metropolitan Univ, Dept Biol Sci, Hachioji, Tokyo, Japan
基金
日本学术振兴会; 美国国家卫生研究院;
关键词
gene families; timetree; software; evolution; SPECIATION; SILVA; TREE;
D O I
10.1093/molbev/msw054
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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-bitMEGA 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.
引用
收藏
页码:1870 / 1874
页数:5
相关论文
共 12 条
  • [1] MUSCLE: multiple sequence alignment with high accuracy and high throughput
    Edgar, RC
    [J]. NUCLEIC ACIDS RESEARCH, 2004, 32 (05) : 1792 - 1797
  • [2] Prospects for Building Large Timetrees Using Molecular Data with Incomplete Gene Coverage among Species
    Filipski, Alan
    Murillo, Oscar
    Freydenzon, Anna
    Tamura, Koichiro
    Kumar, Sudhir
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 2014, 31 (09) : 2542 - 2550
  • [3] Tree of Life Reveals Clock-Like Speciation and Diversification
    Hedges, S. Blair
    Marin, Julie
    Suleski, Michael
    Paymer, Madeline
    Kumar, Sudhir
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 2015, 32 (04) : 835 - 845
  • [4] KUMAR S, 1994, COMPUT APPL BIOSCI, V10, P189
  • [5] MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis
    Kumar, Sudhir
    Stecher, Glen
    Peterson, Daniel
    Tamura, Koichiro
    [J]. BIOINFORMATICS, 2012, 28 (20) : 2685 - 2686
  • [6] The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
    Quast, Christian
    Pruesse, Elmar
    Yilmaz, Pelin
    Gerken, Jan
    Schweer, Timmy
    Yarza, Pablo
    Peplies, Joerg
    Gloeckner, Frank Oliver
    [J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D590 - D596
  • [7] THE NEIGHBOR-JOINING METHOD - A NEW METHOD FOR RECONSTRUCTING PHYLOGENETIC TREES
    SAITOU, N
    NEI, M
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 1987, 4 (04) : 406 - 425
  • [8] ESTIMATION OF THE NUMBER OF NUCLEOTIDE SUBSTITUTIONS IN THE CONTROL REGION OF MITOCHONDRIAL-DNA IN HUMANS AND CHIMPANZEES
    TAMURA, K
    NEI, M
    [J]. MOLECULAR BIOLOGY AND EVOLUTION, 1993, 10 (03) : 512 - 526
  • [9] Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
  • [10] Estimating divergence times in large molecular phylogenies
    Tamura, Koichiro
    Battistuzzi, Fabia Ursula
    Billing-Ross, Paul
    Murillo, Oscar
    Filipski, Alan
    Kumar, Sudhir
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2012, 109 (47) : 19333 - 19338