• DocumentCode
    1611164
  • Title

    Genomic data visualization

  • Author

    Messaoudi, Imen ; Oueslati, Afef Elloumi ; Lachiri, Zied

  • Author_Institution
    Dept. de Genie Electr., ENIT, Tunis, Tunisia
  • fYear
    2012
  • Firstpage
    772
  • Lastpage
    778
  • Abstract
    The sequencing of DNA implies an exponentially growing number of genomic data. This mass of information requires excessive work to reveal the location and functions of the characteristic areas in the genomes. In order to make exploratory studies, the alphabets of a DNA sequence need to be mapped onto their corresponding numerical values for visualization and analysis. This paper develops and compares a number of one dimensional and two dimensional mapping approaches. These coding techniques involve the alignment of bases in the polypeptide chains or affect the 3D structure of the DNA molecule.
  • Keywords
    DNA; biology computing; data visualisation; genomics; DNA molecule 3D structure; DNA sequencing; base alignment; coding techniques; genomic data visualization; one dimensional mapping approach; polypeptide chains; two dimensional mapping approach; Bioinformatics; Biological cells; Chaos; DNA; Encoding; Games; Genomics; Chaos game representation; DNA visualization; GC-content coding; Hao representation; PNUC coding; binary indicators; random walks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-1657-6
  • Type

    conf

  • DOI
    10.1109/SETIT.2012.6482012
  • Filename
    6482012