Molecular Evolutionary Genetics Analysis

Results: 25



#Item
1MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets Sudhir Kumar,1,2,3 Glen Stecher1 and Koichiro Tamura*,4,5 1  Institute for Genomics and Evolutionary Medicine, Temple University

MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets Sudhir Kumar,1,2,3 Glen Stecher1 and Koichiro Tamura*,4,5 1 Institute for Genomics and Evolutionary Medicine, Temple University

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Source URL: www.megasoftware.net

- Date: 2016-06-23 16:08:23
    2A Network Approach to Analyzing Highly Recombinant Malaria Parasite Genes Daniel B. Larremore1,2*, Aaron Clauset3,4,5, Caroline O. Buckee1,2 1 Department of Epidemiology, Harvard School of Public Health, Boston, Massachu

    A Network Approach to Analyzing Highly Recombinant Malaria Parasite Genes Daniel B. Larremore1,2*, Aaron Clauset3,4,5, Caroline O. Buckee1,2 1 Department of Epidemiology, Harvard School of Public Health, Boston, Massachu

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    Source URL: danlarremore.com

    Language: English - Date: 2013-10-31 14:25:49
    3BIOINFORMATICS APPLICATIONS NOTE Sequence analysis Vol. 28 no, pages 2685–2686 doi:bioinformatics/bts507

    BIOINFORMATICS APPLICATIONS NOTE Sequence analysis Vol. 28 no, pages 2685–2686 doi:bioinformatics/bts507

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    Source URL: www.megasoftware.net

    Language: English - Date: 2016-01-11 15:52:39
    4MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0 Koichiro Tamura,*  Joel Dudley,* Masatoshi Nei,à and Sudhir Kumar§* *Center for Evolutionary Functional Genomics, The Biodesign Institute, Ar

    MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0 Koichiro Tamura,*  Joel Dudley,* Masatoshi Nei,à and Sudhir Kumar§* *Center for Evolutionary Functional Genomics, The Biodesign Institute, Ar

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    Source URL: www.megasoftware.net

    Language: English - Date: 2016-01-11 15:52:39
    5MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods Koichiro Tamura,1,2 Daniel Peterson,2 Nicholas Peterson,2 Glen Stecher,2 Masatoshi Nei,3 and

    MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods Koichiro Tamura,1,2 Daniel Peterson,2 Nicholas Peterson,2 Glen Stecher,2 Masatoshi Nei,3 and

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    Source URL: www.megasoftware.net

    Language: English - Date: 2016-01-11 15:52:39
    6Stochastic dynamics for adaptation and evolution of microorganisms Sylvie Méléard (Ecole polytechnique) Understanding the adaptation and evolution of populations is a huge challenge, in particular for microorganisms si

    Stochastic dynamics for adaptation and evolution of microorganisms Sylvie Méléard (Ecole polytechnique) Understanding the adaptation and evolution of populations is a huge challenge, in particular for microorganisms si

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    Source URL: www.7ecm.de

    Language: English - Date: 2016-06-10 05:01:16
    712  EVOLUTIONARY CHANGES IN GENE REGULATION FROM A COMPARATIVE ANALYSIS OF MULTIPLE DROSOPHILA SPECIES LAN HU1

    12 EVOLUTIONARY CHANGES IN GENE REGULATION FROM A COMPARATIVE ANALYSIS OF MULTIPLE DROSOPHILA SPECIES LAN HU1

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    Source URL: www.jsbi.org

    Language: English - Date: 2007-09-27 22:53:22
    8MEGA-CC (COMPUTE CORE) AND MEGAPROTO Quick Start Tutorial OVERVIEW… • MEGA-CC (Molecular Evolutionary Genetics Analysis Computational Core) is an integrated suite of tools for

    MEGA-CC (COMPUTE CORE) AND MEGAPROTO Quick Start Tutorial OVERVIEW… • MEGA-CC (Molecular Evolutionary Genetics Analysis Computational Core) is an integrated suite of tools for

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    Source URL: www.megasoftware.net

    Language: English - Date: 2015-02-23 15:31:24
    9articles  Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae Manolis Kellis1,2, Bruce W. Birren1 & Eric S. Lander1,3

    articles Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae Manolis Kellis1,2, Bruce W. Birren1 & Eric S. Lander1,3

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    Source URL: web.mit.edu

    Language: English - Date: 2004-04-08 14:29:15
    10Simultaneous Bayesian gene tree reconstruction and reconciliation analysis Örjan Åkerborga , Bengt Sennbladb , Lars Arvestada , and Jens Lagergrena,1 a  School for Computer Science and Communication, Royal Institute of

    Simultaneous Bayesian gene tree reconstruction and reconciliation analysis Örjan Åkerborga , Bengt Sennbladb , Lars Arvestada , and Jens Lagergrena,1 a School for Computer Science and Communication, Royal Institute of

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    Source URL: www.ncbi.nlm.nih.gov

    Language: English