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.
Charting the human epi-transcriptome. This project aims to use Oxford nanopore technologies and phage display technologies, to obtain quantitative, single-nucleotide resolution maps for any RNA modification of choice. This will allow systematic mapping of RNA modifications for which we currently lack transcriptome-wide maps, as well as investigate the roles, regulation and impact of RNA modifications in proper cellular functioning and cell differentiation. The project will provide significant be ....Charting the human epi-transcriptome. This project aims to use Oxford nanopore technologies and phage display technologies, to obtain quantitative, single-nucleotide resolution maps for any RNA modification of choice. This will allow systematic mapping of RNA modifications for which we currently lack transcriptome-wide maps, as well as investigate the roles, regulation and impact of RNA modifications in proper cellular functioning and cell differentiation. The project will provide significant benefits, such as to the economy by offering a cost-effective alternative to sequencing methods currently used to map DNA and RNA modifications.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100234
Funder
Australian Research Council
Funding Amount
$430,000.00
Summary
Enhancement of South Australian high-performance computing facilities. These facilities will enable the efficient use of high-performance computing and will more than double the capability provided by eResearch SA for South Australian researchers. They will support large-scale applications, running over many processors in parallel (high-performance computing) or large numbers of single processors (high-throughput computing).
Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding ....Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding genome regulates the expression of protein coding genes. Expected Outcomes and Benefits: This proposal will provide novel targets and methodology for gene modulation with broad applications from biology to environmental sciences.Read moreRead less
Tracing nature's template: using statistical machine learning to evolve biocatalysts. In this project new computational methods will be developed to design nature-inspired, biological catalysts for industrial purposes. Such methods will enable catalysts to be designed that can improve the effectiveness and environmental footprint of drug development, agricultural and specialist chemical production and environmental remediation.