• DocumentCode
    2747908
  • Title

    Graphical representation of DNA sequences

  • Author

    Arniker, Swarna Bai ; Kwan, Hon Keung

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
  • fYear
    2009
  • fDate
    7-9 June 2009
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    The sequencing of genomic data requires methods to allow this data to be visualized and analyzed. With the emergence of genomic signal processing, graphical representation techniques play a key role in applying digital signal processing techniques like Fourier transforms, and more recently, wavelet transform for visualizing DNA sequence. The choice of the graphical representation technique for a DNA sequence affects how well its biological properties can be reflected in the graphical domain for visualization and analysis of the characteristics of special regions of interest within the DNA sequence. This paper presents a summary of various DNA graphical representation methods and their applications in envisaging and analyzing long DNA sequences. A discussion on the comparative merits and demerits of the various methods and conclusions has also been included.
  • Keywords
    DNA; Fourier transforms; genetics; signal processing; wavelet transforms; DNA graphical representation; DNA sequence visualization; DNA sequences; Fourier transforms; biological properties; digital signal processing; genomic data; genomic signal processing; wavelet transform; Bioinformatics; Biomedical signal processing; DNA; Data visualization; Digital signal processing; Fourier transforms; Genomics; Humans; Organisms; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology, 2009. eit '09. IEEE International Conference on
  • Conference_Location
    Windsor, ON
  • Print_ISBN
    978-1-4244-3354-4
  • Electronic_ISBN
    978-1-4244-3355-1
  • Type

    conf

  • DOI
    10.1109/EIT.2009.5189633
  • Filename
    5189633