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Field of Research : Biological Mathematics
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  • Funded Activity

    Discovery Projects - Grant ID: DP1094699

    Funder
    Australian Research Council
    Funding Amount
    $275,000.00
    Summary
    Mathematical Methods for Next Generation Sequencing. The emergence of a new generation of high throughput genomic sequencing technologies is providing unprecedented opportunities for biological research. Hidden within the huge amounts of data generated by this technology is information about the expression and regulation of genes, and the complex functional purpose of non-coding, so called 'junk', DNA. Development of mathematical and statistical tools is essential to interpreting these data. The .... Mathematical Methods for Next Generation Sequencing. The emergence of a new generation of high throughput genomic sequencing technologies is providing unprecedented opportunities for biological research. Hidden within the huge amounts of data generated by this technology is information about the expression and regulation of genes, and the complex functional purpose of non-coding, so called 'junk', DNA. Development of mathematical and statistical tools is essential to interpreting these data. The proposed research will enhance Australia's reputation for developing novel quantitative techniques at the cutting edge of modern biology. The proposed project has a broad range of potential applications in biotechnology, particularly in the medical and agricultural industries.
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    Funded Activity

    Discovery Projects - Grant ID: DP0453210

    Funder
    Australian Research Council
    Funding Amount
    $275,000.00
    Summary
    Determination of benchmarking parameters for assessing the mechanical robustness of articular cartilage: a joint mathematical and experimental investigation. Osteoarthritis associated with the deterioration of the articular cartilage affects about 12% of Australian adults. This project will use an integrated approach combining novel mathematical modelling and an extensive experimental program to establish critical mechanical parameters, in particular, the fracture toughness of articular cartilag .... Determination of benchmarking parameters for assessing the mechanical robustness of articular cartilage: a joint mathematical and experimental investigation. Osteoarthritis associated with the deterioration of the articular cartilage affects about 12% of Australian adults. This project will use an integrated approach combining novel mathematical modelling and an extensive experimental program to establish critical mechanical parameters, in particular, the fracture toughness of articular cartilage and will incorporate the unique structure of the dissimilar layers in articular cartilage. It will be used to study how these resist the propagation of an initiated crack and will offer significant insight into the desirable fracture properties of any replacement material for articular cartilage and will provide a basis for assessing replacement biomaterials.
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    Funded Activity

    Discovery Projects - Grant ID: DP0559260

    Funder
    Australian Research Council
    Funding Amount
    $309,000.00
    Summary
    Sequence to Sequence: Rigorous Statistical and Mathematical Analysis of Biological Sequence Data. Comparative genomics is fundamental for developing an understanding of genes and their function. For example, using statistical and computational techniques, it was recently demonstrated that 60% of genes are conserved between fly and human. When the human gene that confers susceptibility to Parkinson's disease was transferred into the fly it caused symptoms similar to those seen in humans. The futu .... Sequence to Sequence: Rigorous Statistical and Mathematical Analysis of Biological Sequence Data. Comparative genomics is fundamental for developing an understanding of genes and their function. For example, using statistical and computational techniques, it was recently demonstrated that 60% of genes are conserved between fly and human. When the human gene that confers susceptibility to Parkinson's disease was transferred into the fly it caused symptoms similar to those seen in humans. The future development of 'personalized medicine' will rely upon understanding the function of human genes, as will progress in the agricultural sector. Rigorous statistical analysis and development of appropriate bioinformatic methods are crucial to biological sequence analysis in comparative genomics.
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    Funded Activity

    Federation Fellowships - Grant ID: FF0561735

    Funder
    Australian Research Council
    Funding Amount
    $1,898,611.00
    Summary
    Multiscale modelling: Applications to the Biomedical Sciences. 1) Significant reductions in the costs of developing pharmaceutical treatments, 2) Substantial reduction in hospitalisation costs, 3) Improved treatment of wounds, a significant cause of chronic ill-health which presently costs the Australian HealthCare System A$500,000,000/year.
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    Funded Activity

    Discovery Projects - Grant ID: DP1094891

    Funder
    Australian Research Council
    Funding Amount
    $290,000.00
    Summary
    Modelling disease evolution and emergence. Approximately 75% of all emergent diseases have established in humans having switched from other species: Human Immunodeficiency Virus (HIV), Malaria, SARS (Severe Acute Respiratory Syndrome), Ebola, West Nile Virus and many more. Further, cross species infections put our biodiversity and economy at risk: plant and animal diseases entering Australia can destroy crops and at-risk native species. This project will provide for the first time the statistica .... Modelling disease evolution and emergence. Approximately 75% of all emergent diseases have established in humans having switched from other species: Human Immunodeficiency Virus (HIV), Malaria, SARS (Severe Acute Respiratory Syndrome), Ebola, West Nile Virus and many more. Further, cross species infections put our biodiversity and economy at risk: plant and animal diseases entering Australia can destroy crops and at-risk native species. This project will provide for the first time the statistical framework for scientists to assess risk of such diseases entering Australia as a key to combating them.
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