• DocumentCode
    1992086
  • Title

    Trigonometric transforms for finding repeats in DNA sequences

  • Author

    Rushdi, Ahmad ; Tuqan, Jamal

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA
  • fYear
    2008
  • fDate
    8-10 June 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The detection of many forms of periodicities in DNA sequences has been an active area of research in recent years. Most of the signal processing based methods have primarily focussed on using the short-time discrete Fourier transform (ST-DFT) as the key tool in identifying such repeat sequences. In this paper, we propose to use different fast discrete transforms such as the discrete cosine transform (DCT), the discrete sine transform (DST), and the discrete Hartley transform (DHT), to locate these patterns. In specific, we derive a new unified multirate DSP model that i) allows the derivation of new closed form DNA spectrum expressions for the above trigonometric transforms, ii) includes the DFT model as a special case, and iii) suggests an efficient way to improve the detection of repeats by digital filtering.
  • Keywords
    DNA; biochemistry; biology computing; discrete Fourier transforms; discrete Hartley transforms; discrete cosine transforms; filtering theory; genetics; molecular biophysics; signal processing; DNA repeat sequence detection; DNA spectrum expressions; digital filtering; discrete Hartley transform; discrete cosine transform; discrete sine transform; fast discrete transforms; short-time discrete Fourier transform; signal processing based methods; trigonometric transforms; unified multirate DSP model; DNA; Digital filters; Digital signal processing; Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Filtering; Frequency; Sequences; Smoothing methods;
  • 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.2008.4555681
  • Filename
    4555681