A novel quartet-based method for phylogenetic inference

B. B. Zhou*, M. Tarawneh, C. Wang, A. Y. Zomaya, R. P. Brent

*Corresponding author for this work

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

    7 Citations (Scopus)

    Abstract

    In this paper we introduce a new quartet-based method. This method makes use of the Bayes (or quartet) weights of quartets as those used in the quartet puzzling. However, all the weights from the related quartets are accumulated to form a global quartet weight matrix. This matrix provides integrated information and can lead us to recursively merge small sub-trees to larger ones until the final single tree is obtained. The experimental results show that the probability for the correct tree to be among a very small number of trees constructed using our method is very high. These significant results open a new research direction to further investigate more efficient algorithms for phylogenetic inference.

    Original languageEnglish
    Title of host publicationProceedings - BIBE 2005
    Subtitle of host publication5th IEEE Symposium on Bioinformatics and Bioengineering
    Pages32-39
    Number of pages8
    DOIs
    Publication statusPublished - 2005
    EventBIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering - Minneapolis, MN, United States
    Duration: 19 Oct 200521 Oct 2005

    Publication series

    NameProceedings - BIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering
    Volume2005

    Conference

    ConferenceBIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering
    Country/TerritoryUnited States
    CityMinneapolis, MN
    Period19/10/0521/10/05

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