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Research Topic : Support Groups
Australian State/Territory : NSW
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  • Funded Activity

    Discovery Projects - Grant ID: DP0560045

    Funder
    Australian Research Council
    Funding Amount
    $160,000.00
    Summary
    Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed b .... Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed by academics. We hypothesise that current 3D relational visualization methods fail because they do not pay attention to the human perception of topology. In this project we will leverage mathematical topology to construct new methods for the 3D visualization of relational data.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455334

    Funder
    Australian Research Council
    Funding Amount
    $70,668.00
    Summary
    New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive f .... New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive feedback loop in the course of research into both topics.
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    Funded Activity

    Discovery Projects - Grant ID: DP0346325

    Funder
    Australian Research Council
    Funding Amount
    $135,000.00
    Summary
    Novel insecticidal neurotoxins from Australian spider venoms. Insecticidal toxins have considerable potential as novel biopesticides to combat the evolution of widespread insect resistance to classical chemical pesticides. This problem is increasing both in Australia and internationally. This study aims to isolate and pharmacologically characterise potent and selective insecticidal neurotoxins from Australian arachnids. Our laboratories will isolate neurotoxins from spider venoms, determine thei .... Novel insecticidal neurotoxins from Australian spider venoms. Insecticidal toxins have considerable potential as novel biopesticides to combat the evolution of widespread insect resistance to classical chemical pesticides. This problem is increasing both in Australia and internationally. This study aims to isolate and pharmacologically characterise potent and selective insecticidal neurotoxins from Australian arachnids. Our laboratories will isolate neurotoxins from spider venoms, determine their selectivity in insect and mammal bioassays, determine their primary and tertiary structures, and investigate their structure-function relationships by electrophysiological techniques. These functional and structural data will allow the future engineering, by molecular or synthetic procedures, of viral biopesticide analogues with increased potency, stability and selectivity.
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