Developing Interpretable Machine Learning Models For Clinical Imaging And Single-cell Genomics
Funder
National Health and Medical Research Council
Funding Amount
$1,312,250.00
Summary
Machine learning methods will be vital to make best use of the deluge of data generated by high-throughput technologies in biomedical science. To get the most out of these models, however, we need to be able to unpack the 'black box'. I will use curated clinical and public research data to benchmark and develop interpretable deep learning models and software tools. These models will be used for breast cancer screening programs and for analysis of complex, large-scale single-cell genomics data.
Preparing Australia For Genomic Medicine: A Proposal By The Australian Genomics Health Alliance
Funder
National Health and Medical Research Council
Funding Amount
$25,000,000.00
Summary
The sequencing of the human genome brings the possibility of more accurate identification of the underlying basis of many diseases. This technology has moved so rapidly, however, that clinical access has been limited. In this application, a national alliance of clinicians, researchers, health economists and policymakers will evaluate the case for clinical genomics across inherited disease and cancer, determine how best to deliver this to the patient and train a capable workforce.
Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the divers ....Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the diversity of cell types in our bodies. Enhancer regions interact with proximal promoters to regulate gene expression level and tissue-specificity. This project aims to develop transcriptional regulatory network models using high throughput chromatin interaction data and expression perturbation to link promoter and enhancers genome-wide.Read moreRead less
Identification Of Glaucoma Susceptibility Variants By Exome Sequencing In Extended Pedigrees Showing Prior Evidence Of Gene Segregation.
Funder
National Health and Medical Research Council
Funding Amount
$694,002.00
Summary
Primary open angle glaucoma is a chronic eye disease and one of the leading causes of visual impairment and blindness worldwide. This study will use cutting-edge genetic methods to look at the entire coding component of the human genome (exome) in 271 individuals from large glaucoma families. Our previous studies have shown that these families carry genetic variants that increase disease risk. In this investigation we aim to identify these genes, with the hope they may offer novel targets for tr ....Primary open angle glaucoma is a chronic eye disease and one of the leading causes of visual impairment and blindness worldwide. This study will use cutting-edge genetic methods to look at the entire coding component of the human genome (exome) in 271 individuals from large glaucoma families. Our previous studies have shown that these families carry genetic variants that increase disease risk. In this investigation we aim to identify these genes, with the hope they may offer novel targets for treatment or diagnosis.Read moreRead less
Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying ....Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying regulators of lipid metabolism. The large diversity in humans necessitate sufficient sample sizes to identify true genetic regulators, but to date techniques capturing phenotypic data (lipids) have been largely limited. It is anticipated that this study will identify new regulators of lipid metabolism in humans.Read moreRead less
Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This p ....Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This project will develop machine learning (ML) tools for the analysis of pulse legume crop traits and their association with genomic variation to accelerate the breeding of high performance pulse legumes for Australian growers.Read moreRead less
Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for ....Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for important agronomic traits including disease resistance, flowering time and legume nitrogen fixation which will enable plant breeders to identify and apply novel genes and allelic variants for use in breeding programmes, accelerating the production of improved crop varieties.Read moreRead less
IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In ....IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In the process, we will discover how these important genes are regulated to provide photosynthetic proteins in the right amounts, in the right cells, at the right time. The knowledge and resources gained will facilitate improvement of photosynthetic function in future agricultural crops.Read moreRead less
Synthetic regulators of gene expression. RNA plays many essential roles in cells, from information transfer and regulation of gene expression to scaffolding macromolecular structures and catalysis. Despite these realisations the current approaches to manipulate RNA are limited in many respects. This project will use synthetic biology approaches to engineer synthetic regulators of RNAs in living cells. These studies will provide new tools for use in biological research and provide insights into h ....Synthetic regulators of gene expression. RNA plays many essential roles in cells, from information transfer and regulation of gene expression to scaffolding macromolecular structures and catalysis. Despite these realisations the current approaches to manipulate RNA are limited in many respects. This project will use synthetic biology approaches to engineer synthetic regulators of RNAs in living cells. These studies will provide new tools for use in biological research and provide insights into how natural proteins control gene expression. Furthermore, this project will use these tools to understand the mechanisms of how proteins are synthesised in mammalian mitochondria.Read moreRead less
The adaptive evolution of key methane-utilising microorganisms. This project aims to characterise the evolutionary adaptations of a group of microorganisms with a key role in mitigating the release of methane into the atmosphere. Innovative molecular and visualisation-based approaches will be applied to uncover their metabolic diversity and evolutionary history. An important outcome of this study will be the comprehensive understanding of the contribution and impact these microorganisms have on ....The adaptive evolution of key methane-utilising microorganisms. This project aims to characterise the evolutionary adaptations of a group of microorganisms with a key role in mitigating the release of methane into the atmosphere. Innovative molecular and visualisation-based approaches will be applied to uncover their metabolic diversity and evolutionary history. An important outcome of this study will be the comprehensive understanding of the contribution and impact these microorganisms have on the global carbon cycle, which will importantly inform accurate climate change models. This has clear benefits for society, given the precision of such models is essential in our ability to minimise the impact and associated cost of global warming.Read moreRead less