A global maximum likelihood super-quartet phylogeny method

P. Wang*, B. B. Zhou, M. Taraeneh, D. Chu, C. Wang, A. Y. Zomaya, R. P. Brent

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Extending the idea of our previous algorithm [17, 18] we developed a new sequential quartet-based phylogenetic tree construction method. This new algorithm reconstructs the phylogenetic tree iteratively by examining at each merge step every possible super-quartet which is formed by four subtrees instead of simple quartet in our previous algorithm. Because our new algorithm evaluates super-quartet trees, each of which may consist of more than four molecular sequences, it can effectively alleviate a traditional, but important problem of quartet errors encountered in the quartetbased methods. Experiment results show that our newly proposed algorithm is capable of achieving very high accuracy and solid consistency in reconstructing the phylogenetic trees on different sets of synthetic DNA data under various evolution circumstances.

    Original languageEnglish
    Title of host publicationProceedings of the 5th Asia-Pacific Bioinformatics Conference, APBC 2007
    PublisherImperial College Press
    Pages111-120
    Number of pages10
    ISBN (Print)9781860947834
    DOIs
    Publication statusPublished - 2007
    Event5th Asia-Pacific Bioinformatics Conference, APBC 2007 - Hong Kong, Hong Kong
    Duration: 15 Jan 200717 Jan 2007

    Publication series

    NameSeries on Advances in Bioinformatics and Computational Biology
    Volume5
    ISSN (Print)1751-6404

    Conference

    Conference5th Asia-Pacific Bioinformatics Conference, APBC 2007
    Country/TerritoryHong Kong
    CityHong Kong
    Period15/01/0717/01/07

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