• DocumentCode
    3374559
  • Title

    A parameterized enumeration algorithm for the haplotype assembly problem

  • Author

    Yang Yang ; Minzhu Xie

  • Author_Institution
    Coll. of Phys. & Inf. Sci., Hunan Normal Univ., Changsha, China
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    455
  • Lastpage
    459
  • Abstract
    Given DNA sequence fragments from a pair of chromosomes, the goal of the haplotype assembly problem is to reconstruct the two haplotypes of the underlying chromosomes. Many heuristic algorithms and exact algorithms have been introduced for the problem, and they aim to reconstruct a pair of haplotypes that is optimal or near-optimal. However given an input fragments data the optimal solution may be not unique, but these algorithms can only choose one randomly or the one they find at first. This paper proposes a parameterized enumeration algorithm for the Minimum Single Nucleotide Polymorphism (SNP) Removal model of the problem. Extensive experiments show that the algorithm can effectively provide multiple optimal solutions to biologists for further analyses.
  • Keywords
    DNA; cellular biophysics; molecular biophysics; molecular configurations; polymorphism; self-assembly; DNA sequence fragments; chromosomes; haplotype assembly problem; haplotypes reconstruction; heuristic algorithms; minimum single nucleotide polymorphism; multiple optimal solutions; parameterized enumeration algorithm; Algorithm design and analysis; Assembly; Biological cells; Biological system modeling; DNA; Heuristic algorithms; Sequential analysis; haplotype assembly problem; multiple optimal solutions; parameterized algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2760-9
  • Type

    conf

  • DOI
    10.1109/BMEI.2013.6746986
  • Filename
    6746986