• DocumentCode
    796906
  • Title

    An Ω(n^2/ log n) Speed-Up of TBR Heuristics for the Gene-Duplication Problem

  • Author

    Bansal, Mukul S. ; Eulenst, Oliver

  • Author_Institution
    Dept. of Comput. Sci., Iowa State Univ., Ames, IA
  • Volume
    5
  • Issue
    4
  • fYear
    2008
  • Firstpage
    514
  • Lastpage
    524
  • Abstract
    The gene-duplication problem is to infer a species supertree from gene trees that are confounded by complex histories of gene duplications. This problem is NP-complete and thus requires efficient and effective heuristics. Existing heuristics perform a stepwise search of the tree space, where each step is guided by an exact solution to an instance of a local search problem. We improve on the time complexity of the local search problem by a factor of n2/logn, where n is the size of the resulting species supertree. Typically, several thousand instances of the local search problem are solved throughout a stepwise heuristic search. Hence, our improvement makes the gene-duplication problem much more tractable for large-scale phylogenetic analyses.
  • Keywords
    biology computing; computational complexity; genetics; heuristic programming; trees (mathematics); NP-hard problem; TBR heuristics; gene-duplication problem; large-scale phylogenetic analysis; local search problem; stepwise heuristic search; supertrees; Algorithms; Computational Biology; Gene Duplication; Phylogenetics; Supertrees; Algorithms; Base Sequence; Chromosome Mapping; Gene Duplication; Molecular Sequence Data; Sequence Analysis, DNA;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2008.69
  • Filename
    4564440