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    Faster algorithms for computing maximal multirepeats in multiple sequences

    135354_19062_PUB-CBS-EEB-JS-55591.pdf (117.7Kb)
    Access Status
    Open access
    Authors
    Iliopoulos, Costas
    Smyth, Bill
    Yusufu, M.
    Date
    2009
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Iliopoulos, Costas and Smyth, W. F. and Yusufu, Munina. 2009. Faster algorithms for computing maximal multirepeats in multiple sequences. Fundamenta Informaticae. 97 (3): pp. 311-320.
    Source Title
    Fundamenta Informaticae
    ISSN
    01692968
    Faculty
    Curtin Business School
    The Digital Ecosystems and Business Intelligence Institute (DEBII)
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    URI
    http://hdl.handle.net/20.500.11937/22370
    Collection
    • Curtin Research Publications
    Abstract

    A repeat in a string is a substring that occurs more than once. A repeat is extendible if every occurrence of the repeat has an identical letter either on the left or on the right; otherwise, it is maximal. A multirepeat is a repeat that occurs at least mmin times (mmin greater than/equal to 2) in each of at least q greater than/equal to 1 strings in a given set of strings. In this paper, we describe a family of efficient algorithms based on suffix arrays to compute maximal multirepeats under various constraints. Our algorithms are faster, more flexible and much more space-efficient than algorithms recently proposed for this problem. The results extend recent work by two of the authors computing all maximal repeats in a single string.

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