• DocumentCode
    706132
  • Title

    Retrieval accuracy of very large DNA-based databases of digital signals

  • Author

    Tsaftaris, Sotirios A. ; Katsaggelos, Aggelos K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    1561
  • Lastpage
    1565
  • Abstract
    In this paper a simulation of single query searches in very large DNA-based databases that are capable of storing and retrieving digital signals is presented. Similarly to the digital domain, a signal-to-noise ratio (SNR) measure to assess the performance of the DNA-based retrieval scheme in terms of database size and source statistics is defined. With approximations, it is shown that the SNR of any finite size DNA-based database is upper bounded by the SNR of an infinitely large one with the same source distribution. Computer simulations are presented to validate the theoretical outcomes.
  • Keywords
    biocomputing; digital signals; query processing; very large databases; DNA-based retrieval scheme; SNR; digital signal databases; retrieval accuracy; signal-to-noise ratio; single query searches; source statistics; very large DNA-based databases; Approximation methods; DNA; Databases; Europe; Mathematical model; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2007 15th European
  • Conference_Location
    Poznan
  • Print_ISBN
    978-839-2134-04-6
  • Type

    conf

  • Filename
    7099068