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Field of Research : Bioinformatics
Field of Research : Evolutionary Biology
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP190101916

    Funder
    Australian Research Council
    Funding Amount
    $462,000.00
    Summary
    Evolving rates: foundations for the next generation of molecular clocks. This project aims to investigate the causes and consequences of variation in rate of DNA sequence evolution across three kingdoms of life. Dates estimated from DNA sequences have a wide range of applications, including evolutionary biology, conservation prioritisation and epidemiology. These methods rely on accurate rate estimates, but current models lack information about the biological drivers of rates of genomic change. .... Evolving rates: foundations for the next generation of molecular clocks. This project aims to investigate the causes and consequences of variation in rate of DNA sequence evolution across three kingdoms of life. Dates estimated from DNA sequences have a wide range of applications, including evolutionary biology, conservation prioritisation and epidemiology. These methods rely on accurate rate estimates, but current models lack information about the biological drivers of rates of genomic change. This project will test reliability of current methods, identify potentially misleading estimates of disease origin or conservation priorities, and develop new approaches with empirically-informed models of rate change.
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    Funded Activity

    Discovery Projects - Grant ID: DP170103227

    Funder
    Australian Research Council
    Funding Amount
    $298,000.00
    Summary
    A molecular/morphological view of animal evolution based on marsupials. This project aims to provide high-accuracy methods of evolutionary inference extendable to nearly all other organisms. It aims to research the evolution of animal diversity and calibrate evolutionary timescales on a case study of marsupial mammals, and differentiate between internal and external factors that govern animals’ ability to adapt and diversify. The project will collate a large, open-source three-dimensional catalo .... A molecular/morphological view of animal evolution based on marsupials. This project aims to provide high-accuracy methods of evolutionary inference extendable to nearly all other organisms. It aims to research the evolution of animal diversity and calibrate evolutionary timescales on a case study of marsupial mammals, and differentiate between internal and external factors that govern animals’ ability to adapt and diversify. The project will collate a large, open-source three-dimensional catalogue of the evolving marsupial skeleton, which could provide a detailed and publicly accessible narrative of the evolutionary past and future adaptability of Australian marsupials. The proposed development of methods to quantify the effect of past and present biodiversity crises (e.g. environmental change) is expected to inform longer-term conservation planning.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE190100805

    Funder
    Australian Research Council
    Funding Amount
    $382,656.00
    Summary
    Phylogenetic methods for genome surveillance of microbial pathogens. This project aims to develop phylogenetic approaches to harness the potential evolution of bacterial and virus pathogens data and to improve early detection of infectious outbreaks. Genome surveillance programs consist in routine sequencing of particular organisms to track their evolution over time. Such programs currently exist for important bacterial and virus pathogens. This project expects to develop computational methods t .... Phylogenetic methods for genome surveillance of microbial pathogens. This project aims to develop phylogenetic approaches to harness the potential evolution of bacterial and virus pathogens data and to improve early detection of infectious outbreaks. Genome surveillance programs consist in routine sequencing of particular organisms to track their evolution over time. Such programs currently exist for important bacterial and virus pathogens. This project expects to develop computational methods to improve our understanding of pathogen outbreak emergence and infectious spread using genome data. This project will expand our knowledge base and research capability in the evolution and epidemiology of infectious agents, and aid in the prevention and control strategies of infectious disease benefiting the research priorities of food and health.
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