• DocumentCode
    106786
  • Title

    Improved Exact Enumerative Algorithms for the Planted ( l , d )-Motif Search Problem

  • Author

    Tanaka, Shoji

  • Author_Institution
    Dept. of Electr. Eng., Kyoto Univ., Katsura, Japan
  • Volume
    11
  • Issue
    2
  • fYear
    2014
  • fDate
    March-April 2014
  • Firstpage
    361
  • Lastpage
    374
  • Abstract
    In this paper efficient exact algorithms are proposed for the planted ( l, d)-motif search problem. This problem is to find all motifs of length l that are planted in each input string with at most d mismatches. The “quorum” version of this problem is also treated in this paper to find motifs planted not in all input strings but in at least q input strings. The proposed algorithms are based on the previous algorithms called qPMSPruneI and qPMS7 that traverse a search tree starting from a l-length substring of an input string. To improve these previous algorithms, several techniques are introduced, which contribute to reducing the computation time for the traversal. In computational experiments, it will be shown that the proposed algorithms outperform the previous algorithms.
  • Keywords
    bioinformatics; search problems; computational experiments; exact enumerative algorithms; planted ( l, d)-motif search problem; qPMS7 algorithms; qPMSPruneI algorithms; search tree; Bioinformatics; Computational biology; Search problems; Time complexity; $d$)-motif search problem; Planted ($l$; closest substring problem; exact enumerative algorithm; tree search;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2014.2306842
  • Filename
    6744602