Discovery Early Career Researcher Award - Grant ID: DE230100178
Funder
Australian Research Council
Funding Amount
$453,913.00
Summary
Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis meth ....Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis methods and designs for future creation of custom computer hardware for nanopore analysis. This will facilitate widespread adoption of nanopore technology in bioscience research and applied domains (health, agriculture, ecology, biosecurity and forensics), including for portable in-the-field applications. Read moreRead less
Artificial intelligence to explore and combat eukaryotic pathogens. The revolution in artificial intelligence (AI) provides unprecedented opportunities for integrative analyses of complex multi-omics data sets and for creating radically new strategies to control some of the world’s most serious animal diseases. In a strong partnership with international experts, we will use AI-based methods to make major conceptual advances in our understanding of eukaryotic pathogens and host-pathogen interacti ....Artificial intelligence to explore and combat eukaryotic pathogens. The revolution in artificial intelligence (AI) provides unprecedented opportunities for integrative analyses of complex multi-omics data sets and for creating radically new strategies to control some of the world’s most serious animal diseases. In a strong partnership with international experts, we will use AI-based methods to make major conceptual advances in our understanding of eukaryotic pathogens and host-pathogen interactions, discover the "choke-points" in biological pathways, and develop novel treatments, vaccines and diagnostics. This leap forward will substantially enhance the global profile of pathogen research in Australia, build major capacity in a priority area, and enable access to international research funding and networks.Read moreRead less
Unlocking the potential of bacterial polymers by defining key determinants. Sugary structures that coat the surface of some bacteria, known as capsules, can be modified by bacterial viruses (bacteriophage) in the environment. For the bacterial genus Acinetobacter, this influences their use as naturally renewable 'green' biopolymers for remediating environments contaminated with petroleum hydrocarbons. This project aims to characterise crucial capsule polymerase enzymes using a combination of bio ....Unlocking the potential of bacterial polymers by defining key determinants. Sugary structures that coat the surface of some bacteria, known as capsules, can be modified by bacterial viruses (bacteriophage) in the environment. For the bacterial genus Acinetobacter, this influences their use as naturally renewable 'green' biopolymers for remediating environments contaminated with petroleum hydrocarbons. This project aims to characterise crucial capsule polymerase enzymes using a combination of bioinformatics and experimental methodologies to establish how bacteriophage influence Acinetobacter capsules. Outcomes include the development of an innovative genomics pipeline to detect capsule change, improving the use of living bacteria for bioremediation and sustainable rehabilitation of natural ecosystems.Read moreRead less
Data-led bioengineering to uncover hidden chemical wealth in bacteria. The soil bacteria Nocardia are an untapped source of industrially prized chemical compounds called natural products. This project aims to develop innovative bioprospecting genomics technologies built from the disciplines of microbiology, biochemistry and computational statistics to discover hundreds of new natural products in Nocardia. This project will unlock the diversity of potent new enzymes and molecules with high econom ....Data-led bioengineering to uncover hidden chemical wealth in bacteria. The soil bacteria Nocardia are an untapped source of industrially prized chemical compounds called natural products. This project aims to develop innovative bioprospecting genomics technologies built from the disciplines of microbiology, biochemistry and computational statistics to discover hundreds of new natural products in Nocardia. This project will unlock the diversity of potent new enzymes and molecules with high economic value that could include insecticides to protect crops, bioactives to fight diseases, or new enzymes for food and biofuel production. This research unlocks enormous hidden chemical potential in soil bacteria, to build sustainable national economic growth through innovative, high-value industrial chemical development.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100316
Funder
Australian Research Council
Funding Amount
$435,431.00
Summary
Population genomic methods for modelling bacterial pathogen evolution. This project aims to develop novel techniques to model bacterial genome evolution and improve our understanding of how major agricultural and human pathogens, including Enterococcus, Salmonella and E. coli, evolve. The project expects to generate new knowledge about how horizontal gene transfer shapes the evolution of bacteria and how these dynamics vary over different temporal scales. Expected outcomes include methodological ....Population genomic methods for modelling bacterial pathogen evolution. This project aims to develop novel techniques to model bacterial genome evolution and improve our understanding of how major agricultural and human pathogens, including Enterococcus, Salmonella and E. coli, evolve. The project expects to generate new knowledge about how horizontal gene transfer shapes the evolution of bacteria and how these dynamics vary over different temporal scales. Expected outcomes include methodological advances that will enable the analysis of massive contemporary datasets. These methods and resulting analyses will provide significant benefits including informing the design of superior long-term interventions to reduce bacterial disease in both agriculture and health that are robust to the evolution of bacteria.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100959
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from ....Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from the dark genome to (i) discover new genes with agricultural importance, (ii) illuminate invisible genomic features that can slow down plant breeding programs, and (iii) identify opportunities to transfer useful new genes into the cultivated gene pool.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100040
Funder
Australian Research Council
Funding Amount
$447,127.00
Summary
Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unra ....Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unravelling the inheritability and breeding barriers, immediate industry adoption will boost horticultural breeding programs long-term. This project uses cutting-edge science to enhance industry capacity for providing new Kangaroo paws for climate-resilient urban green spaces on the national and international market.Read moreRead less
Proteases are enzymes that degrade other proteins. These molecules are essential for life and drive fundamental processes such as blood clotting and the inflammatory response. Protease dysfunction underlies numerous human diseases, including cancer. This proposal aims to investigate whether structural information can be used to improve our ability to accurately predict the target specificity of proteases.
My research team is focused on human parasites of major relevance to the Australian water industry and/or global public health. Our primary focus is the use of advanced technologies to improve understanding of these parasites and to utilize this information to underpin development of new drugs to treat them and novel diagnostic tests to improve their control.
Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that op ....Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that optimally extract information from PET and CT using mathematical models that correct for the various sources of inaccuracy. Our research will put Australian biomedical researchers and healthcare professionals at the forefront of advanced medical imaging technology.Read moreRead less