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Research Topic : Fine Mapping
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  • Active Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC220100035

    Funder
    Australian Research Council
    Funding Amount
    $4,958,927.00
    Summary
    ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, .... ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, providing the materials and inspiration for young researchers to apply novel hyphenated methods to complex environmental and industrial systems. This Centre will deliver fundamental developments in hyphenated technologies, new analytical capability, and applied outcomes across multiple end-user groups and interests.
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    Active Funded Activity

    Mid-Career Industry Fellowships - Grant ID: IM230100154

    Funder
    Australian Research Council
    Funding Amount
    $1,049,904.00
    Summary
    Fungi Power: Designer Fungal Cell Factories for Advanced Biomanufacturing. This project aims to build an advanced biomanufacturing platform based on filamentous fungi in collaboration with industry. Using synthetic biology, the project expects to engineer superior fungal host strains customisable to the needs of the industry and to address their technological gaps. The expected outcomes include the development of cost-efficient and sustainable fungal-based bioprocesses for the companies to produ .... Fungi Power: Designer Fungal Cell Factories for Advanced Biomanufacturing. This project aims to build an advanced biomanufacturing platform based on filamentous fungi in collaboration with industry. Using synthetic biology, the project expects to engineer superior fungal host strains customisable to the needs of the industry and to address their technological gaps. The expected outcomes include the development of cost-efficient and sustainable fungal-based bioprocesses for the companies to produce products, such as fine chemicals, pharmaceutical actives and food ingredients. The project would provide significant benefits by enabling existing and emerging companies' commercial successes and competitiveness in global markets, creating new jobs and resulting in the growth of the bio-economy in Australia.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101352

    Funder
    Australian Research Council
    Funding Amount
    $541,818.00
    Summary
    Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis .... Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.
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