• DocumentCode
    1392079
  • Title

    Improved Algorithms for Finding Gene Teams and Constructing Gene Team Trees

  • Author

    Wang, Biing-Feng ; Lin, Chien-Hsin

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • Volume
    8
  • Issue
    5
  • fYear
    2011
  • Firstpage
    1258
  • Lastpage
    1272
  • Abstract
    A gene team is a set of genes that appear in two or more species, possibly in a different order yet with the distance between adjacent genes in the team for each chromosome always no more than a certain threshold δ. A gene team tree is a succinct way to represent all gene teams for every possible value of δ. In this paper, improved algorithms are presented for the problem of finding the gene teams of two chromosomes and the problem of constructing a gene team tree of two chromosomes. For the problem of finding gene teams, Beal et al. had an O(n lg2 n)-time algorithm. Our improved algorithm requires O(n lg t) time, where t ≤ n is the number of gene teams. For the problem of constructing a gene team tree, Zhang and Leong had an O(n lg2 n)-time algorithm. Our improved algorithm requires O(n lg n lglg n) time. Similar to Beal et al.´s gene team algorithm and Zhang and Leong´s gene team tree algorithm, our improved algorithms can be extended to k chromosomes with the time complexities increased only by a factor of k.
  • Keywords
    bioinformatics; computational complexity; genetics; genomics; molecular biophysics; molecular configurations; O(n lg t) time; chromosome; gene team finding; gene team tree construction; Algorithm design and analysis; Bioinformatics; Biological cells; Biological system modeling; Computational biology; Data structures; Genomics; Algorithms; comparative genomics; conserved gene clusters.; data structures; gene teams; Algorithms; Animals; Databases, Genetic; Genome; Genomics; Humans; Mice; Models, Genetic; Multigene Family;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2010.127
  • Filename
    5654505