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Scheme : Linkage Projects
Australian State/Territory : ACT
Australian State/Territory : NSW
Research Topic : CELL INTERACTION
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  • Funded Activity

    Linkage Projects - Grant ID: LP140100574

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin .... Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100995

    Funder
    Australian Research Council
    Funding Amount
    $275,000.00
    Summary
    Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin .... Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.
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    Funded Activity

    Linkage Projects - Grant ID: LP0211640

    Funder
    Australian Research Council
    Funding Amount
    $394,373.00
    Summary
    Discovery of new genes for plant cellulose biosynthesis and improved fibre production. Cellulose, the world's most abundant biopolymer, is important to the cotton and forest industries and for human and animal nutrition. Before biotechnology can manipulate cellulose, we must identify the enzymes of the synthesis pathway and understand how their properties determine the properties of the cellulose they produce. Not all enzymes are known and any relationships to cellulose properties remain unexplo .... Discovery of new genes for plant cellulose biosynthesis and improved fibre production. Cellulose, the world's most abundant biopolymer, is important to the cotton and forest industries and for human and animal nutrition. Before biotechnology can manipulate cellulose, we must identify the enzymes of the synthesis pathway and understand how their properties determine the properties of the cellulose they produce. Not all enzymes are known and any relationships to cellulose properties remain unexplored. This study extends our successful mutational analysis of cellulose synthesis in Arabidopsis and initiates the molecular analysis of organisms making cellulose with distinctive properties. It will significantly advance knowledge of cellulose biosynthesis and identify novel genes for fibre improvement.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP220200834

    Funder
    Australian Research Council
    Funding Amount
    $674,004.00
    Summary
    Flipping the mattress: infinite polyurethane recycling by synthetic biology. Australia is covered in billions of tonnes of plastic and yet <10% is recycled today. Polyurethane (PU) is ubiquitous in our everyday lives, from lacquer coatings to elastane clothing to durable foam padding in car seats, cushions and mattresses. Currently, there are few avenues for PU recycling and much ends up in landfill e.g., a single mattress produces 15-20kg of PU foam waste. Luckily, biodegradation of PU can occu .... Flipping the mattress: infinite polyurethane recycling by synthetic biology. Australia is covered in billions of tonnes of plastic and yet <10% is recycled today. Polyurethane (PU) is ubiquitous in our everyday lives, from lacquer coatings to elastane clothing to durable foam padding in car seats, cushions and mattresses. Currently, there are few avenues for PU recycling and much ends up in landfill e.g., a single mattress produces 15-20kg of PU foam waste. Luckily, biodegradation of PU can occur naturally via various microbial means and from insects, like Galleria mellonella larvae. The overall aim of this research project is to understand plastic biodegradation and translate nature’s solutions into flexible and efficient synthetic enzyme technologies that can sustainably recycle commonly used PU foams.
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    Funded Activity

    Linkage Projects - Grant ID: LP0454145

    Funder
    Australian Research Council
    Funding Amount
    $405,000.00
    Summary
    The molecular basis for oocyst and cyst wall formation in apicomplexan parasites. Apicomplexan parasites such as Eimeria, Neospora, Toxoplasma and Plasmodium are single celled organisms - protozoa - that cause some of the most serious infectious diseases of livestock and humans ever known. Transmission of these parasites is dependent on their ability to encase themselves in protective structures known as oocyst or cyst walls. These walls are resistant to harsh environmental conditions, chemicals .... The molecular basis for oocyst and cyst wall formation in apicomplexan parasites. Apicomplexan parasites such as Eimeria, Neospora, Toxoplasma and Plasmodium are single celled organisms - protozoa - that cause some of the most serious infectious diseases of livestock and humans ever known. Transmission of these parasites is dependent on their ability to encase themselves in protective structures known as oocyst or cyst walls. These walls are resistant to harsh environmental conditions, chemicals and attack by the immune system. We will discover and characterise the molecular basis for cyst wall formation. This fundamental knowledge will be the building block for new, highly specific drugs and vaccines to control these extremely important pathogens.
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