• DocumentCode
    2454328
  • Title

    Immersive Visualization for Genome Exploration and Analysis

  • Author

    Matte-Tailliez, Oriane ; Toffano-Nioche, Claire ; Férey, Nicolas ; Képès, Frangois ; Gherbi, Rachid

  • Author_Institution
    TAO Team, LRI UMR CNRS, 8621, Université Paris-Sud, 91405 Orsay, France. oriane.matte@lri.fr
  • Volume
    2
  • fYear
    2006
  • fDate
    24-28 April 2006
  • Firstpage
    3510
  • Lastpage
    3515
  • Abstract
    Genomic and post-genomic data processing comprising genome sequencing, annotation and large scale genome technology produce increasing amounts of data which need to be analyzed. Visualization is a powerful analytical technique that uses the ability of the human brain to process complex data. Biological data were already explored by virtual-reality. Whereas the proteins are the subject of many works of modeling and visualization, still very little work has been done on the DNA. 3D graphical representation of DNA primary sequences allows complexity reduction while transforming 3D spatial representation into a numerical matrix to facilitate comparative studies of DNA. Two biological application were addressed in this paper that show the use of immersive visualization to help the users at genomic analysis phases. The first application is particularly concerned with the visualization of genes sharing similar expression factors within groups. The second one is focused on 3D shape modeling of exonintron elements within genes organization.
  • Keywords
    Bioinformatics; Biological system modeling; DNA; Data processing; Data visualization; Genomics; Humans; Large-scale systems; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684982
  • Filename
    1684982