• DocumentCode
    37239
  • Title

    SuperQ: Computing Supernetworks from Quartets

  • Author

    Grunewald, Stefan ; Spillner, Andrea ; Bastkowski, Sarah ; Bogershausen, Anja ; Moulton, Vincent

  • Author_Institution
    CAS-MPG Partner Inst. for Comput. Biol., Shanghai, China
  • Volume
    10
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan.-Feb. 2013
  • Firstpage
    151
  • Lastpage
    160
  • Abstract
    Supertrees are a commonly used tool in phylogenetics to summarize collections of partial phylogenetic trees. As a generalization of supertrees, phylogenetic supernetworks allow, in addition, the visual representation of conflict between the trees that is not possible to observe with a single tree. Here, we introduce SuperQ, a new method for constructing such supernetworks (SuperQ is freely available at www.uea.ac.uk/computing/superq.). It works by first breaking the input trees into quartet trees, and then stitching these together to form a special kind of phylogenetic network, called a split network. This stitching process is performed using an adaptation of the QNet method for split network reconstruction employing a novel approach to use the branch lengths from the input trees to estimate the branch lengths in the resulting network. Compared with previous supernetwork methods, SuperQ has the advantage of producing a planar network. We compare the performance of SuperQ to the Z-closure and Q-imputation supernetwork methods, and also present an analysis of some published data sets as an illustration of its applicability.
  • Keywords
    biology computing; genetics; trees (mathematics); QNet method; SuperQ; computing supernetwork; phylogenetics; quartet trees; split network; stitching process; supertrees; visual representation; Bioinformatics; Computational biology; Data visualization; Electronic mail; Phylogeny; Vegetation; Visualization; Supertree; consensus network; phylogenetic network; split network; supernetwork; Computational Biology; Databases, Genetic; Genes, Fungal; Genes, Plant; Models, Genetic; Phylogeny; Software;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2013.8
  • Filename
    6425382