• DocumentCode
    572440
  • Title

    Visualization of high throughput biological data

  • Author

    Zhang, Leishi ; Kuljis, Jasna ; Liu, Xiaohui

  • Author_Institution
    Univ. of Konstanz, Konstanz, Germany
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    The rapid advances in high throughput biotechnology pose great challenges to the data analysis and visualization community. The sheer volume of data and complex biological problems that need to be answered increase the demand for effective data analysis and visualization tools which provide intuitive visual representation and allow full exploitation of the data. In this paper, we examine various visualization techniques that have been applied to high throughput biological data analysis. Several key problem areas as well as possible solutions are explored, and some challenging open issues are highlighted.
  • Keywords
    biology computing; biotechnology; data analysis; data visualisation; biotechnology; data analysis; data visualization tools; high throughput biological data; Bioinformatics; High Throughput Biotechnology; Information Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces (ITI), Proceedings of the ITI 2012 34th International Conference on
  • Conference_Location
    Cavtat, Dubrovnik
  • ISSN
    1334-2762
  • Print_ISBN
    978-1-4673-1629-3
  • Type

    conf

  • DOI
    10.2498/iti.2012.0380
  • Filename
    6307999