• DocumentCode
    69376
  • Title

    2013 IEEE Scientific Visualization Contest Winner: Observing Genomics and Phenotypical Patterns in the Developing Mouse Brain

  • Author

    Li, Qihang ; Zachmann, Gabriel ; Feng, David ; Huang, Kun ; Machiraju, Raghu

  • Author_Institution
    The Ohio State University
  • Volume
    34
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    88
  • Lastpage
    97
  • Abstract
    The 2013 IEEE Scientific Visualization Contest focused on developmental neuroscience related to the mouse brain. In developmental neuroscience, researchers examine spatiotemporal patterns of gene expression to understand how brain structures evolve and vary over an organism´s life. The Allen Developing Mouse Brain Atlas project generated expression data for thousands of genes with high spatial resolution over multiple developmental stages. These data have become an invaluable resource for neuroscientists and developmental biologists exploring interesting spatial and temporal patterns of gene expression. Given the extremely large amounts of data, it´s desirable to apply visualization techniques to their access, analysis, and interpretation. The proposed visual-analytics system enables clear, insightful observations of the gene expression patterns for such data, focusing on structural patterns that vary across gene expression levels over six developmental stages. Users can explore patterns through specialized data-driven representations that capture emerging structure-function associations in the developing mouse brain. The system also provides an effective characterization of certain processes in the developing brain that could lead to further analysis.
  • Keywords
    IEEE Scientific Visualization Contest; computer graphics; data visualization; developmental neuroscience; gene expression pattern; graphics; information visualization; mouse brain development; neuroscience; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2014.84
  • Filename
    6898726