• DocumentCode
    1991673
  • Title

    An integer period DFT for biological sequence processing

  • Author

    Epps, Julien ; Ambikairajah, Eliathamby ; Akhtar, Mahmood

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
  • fYear
    2008
  • fDate
    8-10 June 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Detection of periodicity in symbolic sequences such as DNA is of considerable interest in a number of applications, however fast, accurate algorithms are needed for measuring spectral content at multiple integer periods. This paper describes an integer period discrete Fourier transform (IPDFT), presents a new algorithm for its implementation, and discusses applications to DNA sequence analysis. Evaluations on DNA sequence data show that the IPDFT may be a more suitable tool for periodicity analysis than an existing widely used correlation-based approach.
  • Keywords
    DNA; discrete Fourier transforms; medical computing; sequences; statistical analysis; DNA periodicity; DNA sequence analysis; IPDFT; biological sequence processing; discrete Fourier transform; integer period DFT; periodicity analysis; spectral content measurement algorithm; symbolic sequence periodicity; Algorithm design and analysis; Australia; Biology computing; DNA; Discrete Fourier transforms; Electric variables measurement; Frequency; Genomics; Sequences; Signal processing algorithms; DNA; discrete Fourier transform; genomic signal processing; periodicity; symbolic sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, 2008. GENSiPS 2008. IEEE International Workshop on
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    978-1-4244-2371-2
  • Electronic_ISBN
    978-1-4244-2372-9
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2008.4555661
  • Filename
    4555661