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Research Topic : Affective computing
Field of Research : Genetics
Australian State/Territory : ACT
Status : Closed
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  • Funded Activity

    ARC Future Fellowships - Grant ID: FT160100143

    Funder
    Australian Research Council
    Funding Amount
    $680,632.00
    Summary
    Evolution and functional impact of gene silencing by hairpin derived RNAs. This project aims to study RNA-mediated gene silencing in genome evolution. RNA interference (RNAi) has been widely used as an experimental tool since its Nobel Prize-winning discovery in 1998, but little is known about endogenous RNAi or its evolution. This project uses bioinformatics, high-throughput sequencing and molecular approaches to study hpRNAs, a class of small interfering RNAs, their adaptive evolution across f .... Evolution and functional impact of gene silencing by hairpin derived RNAs. This project aims to study RNA-mediated gene silencing in genome evolution. RNA interference (RNAi) has been widely used as an experimental tool since its Nobel Prize-winning discovery in 1998, but little is known about endogenous RNAi or its evolution. This project uses bioinformatics, high-throughput sequencing and molecular approaches to study hpRNAs, a class of small interfering RNAs, their adaptive evolution across fly species and vertebrates, and their functional effect on testis morphogenesis and distortion of female/male sex-ratio. The project also studies splicing-dependent small RNAs and miRNA-target interaction. This research could have applications from animal development to human pathology.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100002

    Funder
    Australian Research Council
    Funding Amount
    $1,040,000.00
    Summary
    Distributed Memory Cluster for the Intersect consortium of universities. Distributed memory cluster: This project aims to establish a new supercomputing facility. The NSW research community has used high performance computing (HPC) to achieve major breakthroughs across a diverse range of disciplines including astrophysics, bioinformatics, environmental science, information technology and engineering. As the use of HPC increases, the application-specific needs of the research community become mo .... Distributed Memory Cluster for the Intersect consortium of universities. Distributed memory cluster: This project aims to establish a new supercomputing facility. The NSW research community has used high performance computing (HPC) to achieve major breakthroughs across a diverse range of disciplines including astrophysics, bioinformatics, environmental science, information technology and engineering. As the use of HPC increases, the application-specific needs of the research community become more diverse, requiring greater flexibility as well as higher performance. The present facility is no longer internationally competitive, and is hampering progress in cutting edge research. The new cluster is designed to provide a greater than 10-fold increase in computing capability.
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    Funded Activity

    Discovery Projects - Grant ID: DP160103474

    Funder
    Australian Research Council
    Funding Amount
    $491,900.00
    Summary
    Evolutionary analyses of short-read sequences from pooled samples. This project aims to provide biologists with a means of making sound, statistical inferences about evolution by using next-generation data from mixed samples. When biologists make statements about history, they use evolutionary trees, frequently reconstructed from the genetic data of many individuals. Next-generation sequencing provides large amounts of genetic data at low cost, but biologists have difficulty using these data for .... Evolutionary analyses of short-read sequences from pooled samples. This project aims to provide biologists with a means of making sound, statistical inferences about evolution by using next-generation data from mixed samples. When biologists make statements about history, they use evolutionary trees, frequently reconstructed from the genetic data of many individuals. Next-generation sequencing provides large amounts of genetic data at low cost, but biologists have difficulty using these data for evolutionary research, particularly when they sample mixtures of DNA from many individuals. The anticipated value of this project is that it allows evolutionary biologists to capitalise on the benefits of next-generation sequencing, without sacrificing their ability to make reliable inferences about history.
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