Vertically integrated statistical modelling in multi-layered omics studies. This project will develop an adaptive statistical modelling framework that uses information from many omics data to discover a collection of stable and clinically significant biomarkers. Results will enable researchers to better understand the underlying biological system of complex diseases such as cancer, Alzheimer and diabetes.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100150
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Beyond Proteomics: structure and function of protein modifications. The world's leading cancer therapeutics have come from the protein phosphorylation field, and glycomics has led to drugs that combat the flu and that stimulate red blood cell production in cancer patients. Thus there is a bright future for discovery of new medicines based on new knowledge in this area. Protein modifications are key to the understanding of disease mechanisms and for searching for new disease markers and new the ....Beyond Proteomics: structure and function of protein modifications. The world's leading cancer therapeutics have come from the protein phosphorylation field, and glycomics has led to drugs that combat the flu and that stimulate red blood cell production in cancer patients. Thus there is a bright future for discovery of new medicines based on new knowledge in this area. Protein modifications are key to the understanding of disease mechanisms and for searching for new disease markers and new therapeutics. In the hands of local experts the instruments will enable identification of these modifications and provide improved understanding of biology, increase the national competitiveness of Australia's scientists, and provide advanced technology training to the next generation of scientists.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100007
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
A research platform for exploring the genotype: phenotype nexus. This project will allow us to connect the genetic code of an organism with its characteristic traits that are essential for its survival. The equipment will accelerate research that performs this translation, and will allow leading Australian scientists to continue to make breakthroughs in this field globally.
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
Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line ....Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line are made into proteins. The project will improve our understanding of the human genome and deliver cutting edge methodology applicable for genome annotation in all living organisms.Read moreRead less