• DocumentCode
    45682
  • Title

    Tractable Cases of (*,2) -Bounded Parsimony Haplotyping

  • Author

    Keijsper, Judith ; Oosterwijk, Tim

  • Author_Institution
    Dept. of Math., Tech. Univ. Eindhoven, Eindhoven, Netherlands
  • Volume
    12
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan.-Feb. 1 2015
  • Firstpage
    234
  • Lastpage
    247
  • Abstract
    Parsimony haplotyping is the problem of finding a set of haplotypes of minimum cardinality that explains a given set of genotypes, where a genotype is explained by two haplotypes if it can be obtained as a combination of the two. This problem is NP-complete in the general case, but polynomially solvable for (k, l)-bounded instances for certain k and l. Here, k denotes the maximum number of ambiguous sites in any genotype, and l is the maximum number of genotypes that are ambiguous at the same site. Only the complexity of the (*, 2)-bounded problem is still unknown, where * denotes no restriction. It has been proved that (*, 2)-bounded instances have compatibility graphs that can be constructed from cliques and circuits by pasting along an edge. In this paper, we give a constructive proof of the fact that (*, 2)-bounded instances are polynomially solvable if the compatibility graph is constructed by pasting cliques, trees and circuits along a bounded number of edges. We obtain this proof by solving a slightly generalized problem on circuits, trees and cliques respectively, and arguing that all possible combinations of optimal solutions for these graphs that are pasted along a bounded number of edges can be enumerated efficiently.
  • Keywords
    bioinformatics; cellular biophysics; genetics; genomics; trees (mathematics); (*, 2)-bounded parsimony haplotyping; (k,l)-bounded instances; ambiguous sites; compatibility graph; generalized problem; genotypes; minimum cardinality haplotypes; pasting cliques; tractable cases; trees; Bioinformatics; Complexity theory; Computational biology; IEEE transactions; Polynomials; Sociology; Vectors; Drug design; graph; haplotyping; health; hereditary disease; matching problem; path partition; polynomial time algorithm; shortest path;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2014.2352031
  • Filename
    6883135