• DocumentCode
    1991811
  • Title

    The effects of C-G content and mutations on the Fourier transform method for periodicity

  • Author

    Garbarine, Elaine M. ; Rosen, Gail L.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA
  • fYear
    2008
  • fDate
    8-10 June 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is well-known that the Fourier spectrum of a DNA protein-coding region exhibits an f = 1/3 peak. This is due to an unbalanced nucleotide distribution and open reading frame (ORF) positional bias that introduces a 3-base periodicity into the sequence. Until now, the f = 1/3 property has mainly been used to detect protein-coding regions, but in our paper, we use the f = 1/3 spectral height to detect the strength of the periodicity in these regions. First, we quantify the effects of sequence length, nucleotide distribution, ORF positional bias, and mutations on this spectral measure. Then once we know how the spectral peak height changes in response to these aberrations, we investigate a sliding window technique in an attempt to detect changes in CG content. Detection of frameshift mutations are important for finding disease, and it has been hypothesized that nucleotide bias variation signifies a change in the function of encoded proteins.
  • Keywords
    DNA; Fourier transform spectra; molecular biophysics; molecular configurations; spectral analysis; statistical analysis; C-G content effects; C-G mutation effects; DNA protein coding region Fourier spectrum; DNA sequence periodicity; Fourier spectral height; Fourier transform method; ORF positional bias; open reading frame; periodicity analysis; periodicity strength detection; sequence length; spectral peak height; unbalanced nucleotide distribution; Character generation; DNA; Diseases; Fourier transforms; Genetic mutations; Length measurement; Nuclear measurements; Position measurement; Proteins; 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.2008.4555668
  • Filename
    4555668