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Research Topic : POSITIONAL MAPPING
Field of Research : Bioinformatics
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  • Funded Activity

    Discovery Projects - Grant ID: DP130100612

    Funder
    Australian Research Council
    Funding Amount
    $341,000.00
    Summary
    Variation in the arginine vasopressin 1a receptor (AVPR1a) gene, the social environment, general health and wellbeing. The project aims to investigate how the arginine vasopressin 1a gene affects gene expression and influences social behaviour and ultimately health and wellbeing. This research will contribute to understanding the importance of individual differences in social policy and interventions aimed at improving health and wellbeing.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT100100764

    Funder
    Australian Research Council
    Funding Amount
    $699,512.00
    Summary
    Developing methods for the analysis of massively parallel sequencing data in family studies. This project will develop analytical methods to use the latest, high-throughput method of generating sequencing data, i.e. the letters of the human genome alphabet. These tools will be used to identify the causal mutations in families with inherited disorders, leading to diagnostic tests for these families.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE180100883

    Funder
    Australian Research Council
    Funding Amount
    $365,058.00
    Summary
    Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and e .... Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and environmental drivers that have shaped modern human genetic diversity and pathology.
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