• DocumentCode
    79552
  • Title

    Inapproximability of (1,2)-Exemplar Distance

  • Author

    Bulteau, Laurent ; Minghui Jiang

  • Author_Institution
    Lab. d´Inf. de Nantes-Atlantique (LINA), Univ. de Nantes, Nantes, France
  • Volume
    10
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov.-Dec. 2013
  • Firstpage
    1384
  • Lastpage
    1390
  • Abstract
    Given two genomes possibly with duplicate genes, the exemplar distance problem is that of removing all but one copy of each gene in each genome, so as to minimize the distance between the two reduced genomes according to some measure. Let (s; t) exemplar distance denote the exemplar distance problem on two genomes G1 and G2, where each gene occurs at most s times in G1 and at most t times in G2. We show that the simplest nontrivial variant of the exemplar distance problem, (1,2)-EXEMPLAR DISTANCE, is already hard to approximate for a wide variety of distance measures, including both popular genome rearrangement measures such as adjacency disruptions, signed reversals, and signed double-cut-and-joins, and classic string edit distance measures such as Levenshtein and Hamming distances.
  • Keywords
    biology computing; genetics; genomics; (1,2)-exemplar distance; Hamming distance; Levenshtein distance; adjacency disruptions; classic string edit distance measures; duplicate genes; genome rearrangement measures; genomes; inapproximability; signed double-cut-and-joins; signed reversals; Approximation methods; Bioinformatics; Biological cells; Computational biology; Evolution (biology); Genomics; Comparative genomics; Hamming distance; Levenshtein distance; adjacency disruption; double-cut-and-join; edit distance; hardness of approximation; sorting by reversals;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2012.144
  • Filename
    6365175