• DocumentCode
    952098
  • Title

    Optimal Algorithms for the Interval Location Problem with Range Constraints on Length and Average

  • Author

    Hsieh, Yong-Hsiang ; Yu, Chih-Chiang ; Wang, Biing-Feng

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu
  • Volume
    5
  • Issue
    2
  • fYear
    2008
  • Firstpage
    281
  • Lastpage
    290
  • Abstract
    Let A be a sequence of n real numbers, L1 and L2 be two integers such that L1 les L2, and let R1 and R2 be two real numbers such that R1 les R2. An interval of A is feasible if its length is between L1 and L2, and its average is between R1 and R2. In this paper, we study the following problems: finding all feasible intervals of A, counting all feasible intervals of A, finding a maximum cardinality set of nonoverlapping feasible intervals of A, locating a longest feasible interval of A, and locating a shortest feasible interval of A. The problems are motivated from the problem of locating CpG islands in biomolecular sequences. In this paper, we first show that all the problems have an Omega (n log n)-time lower bound in the comparison model. Then, we use geometric approaches to design optimal algorithms for the problems. All the presented algorithms run in an online manner and use O(n) space.
  • Keywords
    DNA; biology computing; molecular biophysics; optimisation; CpG islands; biomolecular sequences; interval location problem; optimal algorithms; algorithms; analysis of algorithms; data structures; geometrical problems and computations; Algorithms; Base Composition; Computational Biology; CpG Islands; DNA; GC Rich Sequence; Models, Genetic; 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.2007.70217
  • Filename
    4359875