• DocumentCode
    2640024
  • Title

    Towards a DNA solution to the shortest common superstring problem

  • Author

    Gloor, Greg ; Kari, Lila ; Gaasenbeek, Michelle ; Yu, Sheng

  • Author_Institution
    Dept. of Biochem., Univ. of Western Ontario, London, Ont., Canada
  • fYear
    1998
  • fDate
    21-23 May 1998
  • Firstpage
    140
  • Lastpage
    145
  • Abstract
    This paper proposes a DNA algorithm for solving an NP-complete problem (the shortest common superstring problem) by manipulation of biomolecules, and presents partial results of the experiment that implements our algorithm. We also discuss practical constraints that have to be taken into account when implementing the algorithm, propose a coding system as a solution to these practical restrictions, and discuss the control experiments performed for establishing the parameters controlling the specificity of the assay
  • Keywords
    DNA; biocomputers; encoding; parallel algorithms; simulated annealing; string matching; DNA algorithm; DNA annealing; DNA computing; NP-complete problem; coding; shortest common superstring problem; Biochemistry; Biology computing; Computational biology; Computer science; Control systems; DNA computing; Molecular biophysics; Molecular computing; NP-complete problem; Power supplies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
  • Conference_Location
    Rockville, MD
  • Print_ISBN
    0-8186-8548-4
  • Type

    conf

  • DOI
    10.1109/IJSIS.1998.685431
  • Filename
    685431