ARC Centre in Bioinformatics. The Australian Centre for Genome-Phenome Bioinformatics will examine how the genome comes to life in the mammalian cell during differentiation and development. We will model, visualise and experimentally validate the complex cellular systems and regulatory networks that control the transformation of genomic information into biological structure and function. We will develop novel approaches and tools to improve health, optimise agricultural production and exploit ne ....ARC Centre in Bioinformatics. The Australian Centre for Genome-Phenome Bioinformatics will examine how the genome comes to life in the mammalian cell during differentiation and development. We will model, visualise and experimentally validate the complex cellular systems and regulatory networks that control the transformation of genomic information into biological structure and function. We will develop novel approaches and tools to improve health, optimise agricultural production and exploit new cell technologies. The Centre will build critical mass and national focus in bioinformatics to generate the human capital and intellectual property that Australia needs to compete in advanced bioscience and biotechnology.Read moreRead less
Neural mechanisms for human form perception. This project aims to determine if there is a single cortical mechanism underlying the human ability to discriminate and recognise objects. It has been speculated that different classes of objects, or forms require different processes. Demonstrating a single process would be a significant advance towards understanding the neural mechanisms giving rise to our ability to segment visual fields into meaningful objects and background. This research provides ....Neural mechanisms for human form perception. This project aims to determine if there is a single cortical mechanism underlying the human ability to discriminate and recognise objects. It has been speculated that different classes of objects, or forms require different processes. Demonstrating a single process would be a significant advance towards understanding the neural mechanisms giving rise to our ability to segment visual fields into meaningful objects and background. This research provides a means for testing models of the neural interactions thought to be generating human form perception and will help us discover how the visual cortex converts raw sensory input into object and form perception.Read moreRead less
Cross-Entropy Methods in Complex Biological Systems. The Cross-Entropy method provides a powerful new way to find superior solutions to complicated optimisation problems in biology, ranging from better design and implementation of medical treatments to an increased understanding of complex ecosystems.
Applications of Bayesian methods in Genomics and Comparative Genomics. Bayesian statistics provides a unified and versatile approach to problems of data analysis, inference and hypothesis testing. This project will involve the application of Bayesian methods to four topics of commercial and scientific importance in the fields of Genomics and Comparative Genomics. The four topics are: data analysis for a novel DNA sequencing technology, investigating genomic structure using multiple change-point ....Applications of Bayesian methods in Genomics and Comparative Genomics. Bayesian statistics provides a unified and versatile approach to problems of data analysis, inference and hypothesis testing. This project will involve the application of Bayesian methods to four topics of commercial and scientific importance in the fields of Genomics and Comparative Genomics. The four topics are: data analysis for a novel DNA sequencing technology, investigating genomic structure using multiple change-point analysis, phlogenetic inference with multiple genes and detection of incongruent phylogenies. The overall goal of the project is to advance understanding of the structure, function and evolution of genomes.Read moreRead less
From genotype to phenotype - systems biology bridging the gap. This project is basic research at the forefront of international science and deals with a fundamental question of modern biology: 'How do genes determine the makeup of an organism?' The main outcome will be a deeper understanding of the internal working mechanisms of a higher organism. The project combines some of the most advanced systems technologies - genomics, proteomics, metabonomics, fluxomics and computational biology in a nov ....From genotype to phenotype - systems biology bridging the gap. This project is basic research at the forefront of international science and deals with a fundamental question of modern biology: 'How do genes determine the makeup of an organism?' The main outcome will be a deeper understanding of the internal working mechanisms of a higher organism. The project combines some of the most advanced systems technologies - genomics, proteomics, metabonomics, fluxomics and computational biology in a novel and unique way. This combination is in itself a major advancement of scientific methods that will accelerate discovery in the field of systems biology. In this respect, the project is a premier example of the priority goal Breakthrough Science and of the national research priority Frontier Technologies.Read moreRead less
Special Research Initiatives - Grant ID: SR0354793
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
A Neural Network: Understanding Brain Function. This proposal focuses on the mechanisms that regulate brain function, particularly those underpinning the changes in circuitry (plasticity) caused by altered inputs. As such, its core goal is to create an interface between researchers in the neurosciences, computational modelling, robotics and cognitive sciences in order to facilitate optimum collaborative interactions, identify key research questions and promote training opportunities across a mul ....A Neural Network: Understanding Brain Function. This proposal focuses on the mechanisms that regulate brain function, particularly those underpinning the changes in circuitry (plasticity) caused by altered inputs. As such, its core goal is to create an interface between researchers in the neurosciences, computational modelling, robotics and cognitive sciences in order to facilitate optimum collaborative interactions, identify key research questions and promote training opportunities across a multidisciplinary spectrum. This will drive an integrated and accelerated program of discovery and technological development, enhancing Australia's leadership in this crucial field and helping to highlight new biotechnology opportunities and capture social and economic benefits for the nation. Read moreRead less
Multi-scale modelling of cell migration in developmental biology. Interpretative and predictive tools are needed for the comprehensive understanding of directed cell migration in the medical sciences. Mathematical models and modelling methodologies developed in this project will make a significant contribution to the investigation of cell migration and the testing and generation of hypotheses. Such models are needed to understand observed cellular patterns. This project will contribute to knowle ....Multi-scale modelling of cell migration in developmental biology. Interpretative and predictive tools are needed for the comprehensive understanding of directed cell migration in the medical sciences. Mathematical models and modelling methodologies developed in this project will make a significant contribution to the investigation of cell migration and the testing and generation of hypotheses. Such models are needed to understand observed cellular patterns. This project will contribute to knowledge of normal and abnormal developmental processes, especially in embryonic growth. Understanding these processes should lead to prediction and treatment of congenital disorders and contribute to a healthy start to life.Read moreRead less
Computational Modeling of RNA Control Networks. One of the most exciting new ideas for understanding the regulation of gene expression involves the contribution of intronic and other non-protein coding RNAs to regulatory networks within cells. This novel role for intronic RNA is currently making headlines within the molecular biology community but has not yet been modelled computationally. The network of genetic regulatory interactions forms a complex system which is amenable to computational ....Computational Modeling of RNA Control Networks. One of the most exciting new ideas for understanding the regulation of gene expression involves the contribution of intronic and other non-protein coding RNAs to regulatory networks within cells. This novel role for intronic RNA is currently making headlines within the molecular biology community but has not yet been modelled computationally. The network of genetic regulatory interactions forms a complex system which is amenable to computational analysis. This project aims to extend current models to incorporate intronic RNA feedback control, complementing parallel studies in vivo, and computationally testing ideas essential to the theoretical understanding of the basis of life.Read moreRead less
Functionally characterizing mammalian microRNAs and mRNA interactions controlling cell division. This project addresses some of the most burning issues in molecular biology and genetic research, and the results will be widely applicable to a broad range of fields, including biotechnology, animal breeding, agricultural production, genetic engineering, medical science, and computational biology. By understanding the regulatory potential of microRNA molecules, we will understand more about species ....Functionally characterizing mammalian microRNAs and mRNA interactions controlling cell division. This project addresses some of the most burning issues in molecular biology and genetic research, and the results will be widely applicable to a broad range of fields, including biotechnology, animal breeding, agricultural production, genetic engineering, medical science, and computational biology. By understanding the regulatory potential of microRNA molecules, we will understand more about species diversity, regulatory networks, and plant and animal development. The early adoption of multi-gigabase next-generation sequencing technology in Australia provides rare and exciting opportunity to lead the world in genome-scale research, and to ensure that Australia has the necessary skill base to remain internationally competitive in this field.Read moreRead less
Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in ....Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework. This will be used on an exemplar application for lineage commitment in haematopoiesis and for exploring and validating genetic regulatory models in general.Read moreRead less