Statistical and computational methods using a multiscale approach for protein identification and quantification. Proteins are critically important in the onset and ongoing illness associated with disease. Key proteins may serve as markers to diagnose or predict the course of a disease, or even become the target of pharmaceuticals. Accurate, efficient and robust algorithms are a critical component in protein identification. This research provides novel statistical algorithms for protein identific ....Statistical and computational methods using a multiscale approach for protein identification and quantification. Proteins are critically important in the onset and ongoing illness associated with disease. Key proteins may serve as markers to diagnose or predict the course of a disease, or even become the target of pharmaceuticals. Accurate, efficient and robust algorithms are a critical component in protein identification. This research provides novel statistical algorithms for protein identification using multiscale analysis techniques. Their applications in the bio-medical field will enable Australian and international researchers to identify key proteins more accurately, than current methods, leading to improve health, medical, and biological research outcomes.Read moreRead less
New statistical methods for identifying micro-ribonucleic acid (miRNA) regulatory networks. Understanding gene regulatory networks is critical in the understanding of fundamental biological systems. These networks have important implications for the discovery of fundamental mechanisms relating to the diagnosis and management of many illnesses. This research will provide new statistical methods to identify regulatory micro-ribonucleic acid modules and to understand their relationship in gene regu ....New statistical methods for identifying micro-ribonucleic acid (miRNA) regulatory networks. Understanding gene regulatory networks is critical in the understanding of fundamental biological systems. These networks have important implications for the discovery of fundamental mechanisms relating to the diagnosis and management of many illnesses. This research will provide new statistical methods to identify regulatory micro-ribonucleic acid modules and to understand their relationship in gene regulatory networks through multiple covariance estimation and multivariate classification techniques. My results should enable researchers to better understand the regulation underlying biological systems, leading to improved human health, medical and biological research outcomes.Read moreRead less
Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provi ....Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provides new statistical methods to integrate different data sets. Its application in the biomedical field will allow researchers to effectively interpret the myriad of data generated within the community.Read moreRead less
Trans-dimensional and Approximate Bayesian Computation. Many applied scientists in Australia, particularly those in the biological, medical and environmental sciences are now interested in incorporating Bayesian statistical methodologies into their research.
The development of more generic and efficient Bayesian statistical methods will not only benefit applied statisticians but also the more occasional users of statistics in other disciplinary areas. The success of this project will enhance Au ....Trans-dimensional and Approximate Bayesian Computation. Many applied scientists in Australia, particularly those in the biological, medical and environmental sciences are now interested in incorporating Bayesian statistical methodologies into their research.
The development of more generic and efficient Bayesian statistical methods will not only benefit applied statisticians but also the more occasional users of statistics in other disciplinary areas. The success of this project will enhance Australia's reputation as a strong contributor to the development of Bayesian methodologies. Two PhD students will also be provided training in computational Bayesian statistics.Read moreRead less
Neutron Scattering in Biology. Australia's Replacement Research Reactor will be a world-class neutron source, and represents the country's largest single investment in scientific research infrastructure. It is now essential to stimulate its production of high-quality research in materials science, chemistry and biology. The applicant is a recognised world leader in the field of neutron scattering research, particularly in biology. His presence in the Bragg Institute, which manages the neutron ....Neutron Scattering in Biology. Australia's Replacement Research Reactor will be a world-class neutron source, and represents the country's largest single investment in scientific research infrastructure. It is now essential to stimulate its production of high-quality research in materials science, chemistry and biology. The applicant is a recognised world leader in the field of neutron scattering research, particularly in biology. His presence in the Bragg Institute, which manages the neutron scattering instruments on the reactor, will provide direction and impetus for the science that will be initiated there, advancing applications in materials science, medicine and biotechnology.Read moreRead less
Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and t ....Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and the analysis of gene expression data. The project will also train doctoral and postdoctoral students and enhance Australia's reputation for research excellence in the Statistical and Mathematical Sciences. Read moreRead less
Special Research Initiatives - Grant ID: SR0354636
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Australian Computational Molecular Science Network. Computational Molecular Science (CMS) involves the use of theory and computational methods to simulate and visualise molecular systems ranging from small atmospheric species to proteins, nucleic acids, chemical polymers and materials. It represents our most incisive expression of what we understand about the molecular basis of nature. The CMS network will integrate and cross-fertilize both fundamental and application-based expertize in molecula ....Australian Computational Molecular Science Network. Computational Molecular Science (CMS) involves the use of theory and computational methods to simulate and visualise molecular systems ranging from small atmospheric species to proteins, nucleic acids, chemical polymers and materials. It represents our most incisive expression of what we understand about the molecular basis of nature. The CMS network will integrate and cross-fertilize both fundamental and application-based expertize in molecular scale computations in the fields of nanoscience, biomaterials, biotechnology, biomedical science and environmental science. It will uncover and explore critical new interdisciplinary science and create new molecular-based paradigms that will drive advances in these fields over the next decade.Read moreRead less
Function and evolution of optical structures in nature. Designing optical structures that simultaneously satisfy multiple and conflicting criteria and satisfy difficult manufacturing constraints is technologically challenging. However, Nature has been doing this for millions of years. This project is a systematic study of optical structures in one of Nature's most diverse range of species: butterflies. The microstructures inside butterfly scales have an amazing diversity of geometries that produ ....Function and evolution of optical structures in nature. Designing optical structures that simultaneously satisfy multiple and conflicting criteria and satisfy difficult manufacturing constraints is technologically challenging. However, Nature has been doing this for millions of years. This project is a systematic study of optical structures in one of Nature's most diverse range of species: butterflies. The microstructures inside butterfly scales have an amazing diversity of geometries that produce structural colour and are amongst the most complex naturally occurring optical structures produced by a single cell.Read moreRead less
3D Structure determination of biomacromolecular assemblies from sparse data. This project has direct impact on pharmaceutical research: Biomacromolecular interactions are key points for pharmaceutical intervention and detailed structural knowledge of dynamic protein interactions can significantly accelerate drug development. Australia has invested in expensive instrumentation that can be used with new laboratory methods to obtain information on delicately balanced biomacromolecular interactions, ....3D Structure determination of biomacromolecular assemblies from sparse data. This project has direct impact on pharmaceutical research: Biomacromolecular interactions are key points for pharmaceutical intervention and detailed structural knowledge of dynamic protein interactions can significantly accelerate drug development. Australia has invested in expensive instrumentation that can be used with new laboratory methods to obtain information on delicately balanced biomacromolecular interactions, and how they malfunction in disease. This project will provide a computational framework to increase the impact of this investment by integrating measurements from a range of novel technologies and developing understanding of changes in structure of large protein complexes in different functional states.Read moreRead less