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Using CAVE technology for functional genomics studies.

Christoph W Sensen1

  • 1Sun Center of Excellence for Visual Genomics, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada. csensen@ucalgary.ca

Diabetes Technology & Therapeutics
|March 5, 2003
PubMed
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The first Java 3D-enabled CAVE (Cave Automated Virtual Environment) enables cross-platform development for bioinformatics applications. This facilitates rapid genome research and biological system modeling for functional genomics.

Area of Science:

  • * Computer Science
  • * Bioinformatics
  • * Virtual Reality

Background:

  • * CAVE (Cave Automated Virtual Environment) technology offers immersive visualization.
  • * Current CAVE applications often require platform-specific development.
  • * Bioinformatics and functional genomics generate complex spatial-temporal data.

Purpose of the Study:

  • * To establish the first Java 3D-enabled CAVE.
  • * To enable cross-platform program development for CAVE applications.
  • * To facilitate rapid development of bioinformatics tools for genome research.

Main Methods:

  • * Integration of Java 3D application programming interface (API) into the CAVE.
  • * Development of Java programs on any Java-enabled platform (Windows, Macintosh, Linux).

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  • * Execution of developed programs within the CAVE environment without modification.

    • Main Results:

    • * Successful establishment of a Java 3D-enabled CAVE.
    • * Demonstrated complete separation of program development and execution.
    • * Enabled development and execution of applications across diverse computing platforms.
    • * Facilitated rapid application development for genome research and functional genomics data analysis.

    Conclusions:

    • * Java 3D integration significantly enhances CAVE technology's accessibility and application scope.
    • * This advancement supports efficient analysis of complex biological data.
    • * The Java-enabled CAVE is poised to be crucial for biological systems modeling and understanding.