Redirecting Carbon Flow through Mesophyll and Bundle Sheath Cells of Sugarcane to Produce Poly-3-Hydroxybutyrate. This project is part of the National Priorities "Frontier Technologies for Building and Transforming Australian Industries." Using innovative plant metabolic engineering technologies combined with sophisticated computer modeling we are generating green plants that produce renewable, biodegradable, bioplastics possessing properties such that they are suitable replacements for petrol ....Redirecting Carbon Flow through Mesophyll and Bundle Sheath Cells of Sugarcane to Produce Poly-3-Hydroxybutyrate. This project is part of the National Priorities "Frontier Technologies for Building and Transforming Australian Industries." Using innovative plant metabolic engineering technologies combined with sophisticated computer modeling we are generating green plants that produce renewable, biodegradable, bioplastics possessing properties such that they are suitable replacements for petroleum-derived products in many applications. During the course of these studies, we are increasing our basic level of understanding of plant metabolism of important bioenergy crops. The production of renewable, bioplastics in sugarcane will help to diversify the Australian sugarcane industry by providing a value-added product with significant world-wide markets.Read moreRead less
Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological pro ....Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological processes will be elucidated, specifically the robustness of cellular systems. Expected outcomes include a suite of novel tools that will push the boundaries of current bioinformatics solutions with potential to deliver significant benefits to every domain of biological science, particularly tissue engineering and synthetic biology.Read moreRead less