• DocumentCode
    1559328
  • Title

    On applying molecular computation to binary linear codes

  • Author

    Zimmermann, Karl-Heinz

  • Author_Institution
    Dept. of Comput. Eng., Technische Univ. Hamburg-Harburg, Hamburg, Germany
  • Volume
    48
  • Issue
    2
  • fYear
    2002
  • fDate
    2/1/2002 12:00:00 AM
  • Firstpage
    505
  • Lastpage
    510
  • Abstract
    Adleman´s (1994) successful solution of a seven-vertex instance of the NP-complete Hamiltonian directed path problem by a DNA algorithm initiated the field of biomolecular computing. In this correspondence, we describe DNA algorithms based on the sticker model to perform encoding, minimum-distance computation, and maximum-likelihood (ML) decoding of binary linear codes. We also discuss feasibility and limitations of the sticker algorithms
  • Keywords
    binary codes; biocomputing; linear codes; maximum likelihood decoding; DNA algorithm; ML decoding; binary linear codes; biomolecular computing; encoding; maximum-likelihood decoding; minimum-distance computation; molecular computation; sticker model; Biological system modeling; Biology computing; Computational modeling; Computer vision; DNA computing; Encoding; Linear code; Maximum likelihood decoding; Spine; Splicing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.979325
  • Filename
    979325