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.
Discovery Early Career Researcher Award - Grant ID: DE120102763
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
The contribution of histone post-translational modifications to eukaryotic evolution. By comparing the complete DNA sequence of closely related species, it is possible to identify changes in DNA that account for the diversity between these species. The project will use this approach to ask whether DNA changes that influence how DNA itself is packaged into cells have contributed to the evolution of new yeast species.
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
Discovery of bioactive natural substances from uncultured bacteria and their production using photosynthetic reactor technology. The range and rate of natural product discovery is the limiting factor in developing new therapies for cancer and infectious disease. This research will enable the discovery of new drugs, coupled to their production in a photosynthetic expression system. This represents a truly “green” and sustainable technology for the pharmaceutical industry.