Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically an ....Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically and clinically significant discoveries in biomedical research. This project will help Australian researchers in statistics and users of statistics (from fields as diverse as biology, ecology, medicine, finance, agriculture and the social sciences) to make better predictions that are easier to understand.Read moreRead less
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.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100143
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Flexible architecture high-performance computing facility for the intersect consortium of New South Wales. This new supercomputing facility is an important addition to the nation's research infrastructure and will enable world-leading, New South Wales researchers to continue their ground breaking work in increasingly competitive environments. Much of the research to be undertaken at the facility lies in areas of national priority, including frontier technologies and environmental sustainability.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100181
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
Strengthening merit-based access and support at the new National Computing Infrastructure petascale supercomputing facility. World-leading high-performance computing is fundamental to Australia's international research success. This facility will provide access to the new National Computational Infrastructure facility by world-leading researchers from six research universities, and sustain ground-breaking work in an increasingly competitive environment.