Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989334
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
An integrated high-performance computational platform powering systems biology investigation. Systems biology is the study of the organism as a whole and provides a deeper understanding of biological processes than is possible by studying components separately. Recognised as essential for biological research, we propose to establish an advanced computational platform to study these processes at a systems level. Its hardware and specialised software will allow Australian researchers to examine co ....An integrated high-performance computational platform powering systems biology investigation. Systems biology is the study of the organism as a whole and provides a deeper understanding of biological processes than is possible by studying components separately. Recognised as essential for biological research, we propose to establish an advanced computational platform to study these processes at a systems level. Its hardware and specialised software will allow Australian researchers to examine complex pathways involved in animal and human health and disease, as well as in biotechnology and environmental processes. It will provide unique capabilities not currently available in Australia, and help Australian researchers remain internationally competitive in breakthrough science and frontier technologies.Read moreRead less
Valuations and Business Models for Biotechnology Companies. The primary aim of this project is to reduce the risk involved in investment in biotechnology companies by developing a model that will aid in a more accurate assessment of their value. This project will also develop commercialisation pathways incorporating valuation modeling techniques that will maximise the commercial potential of the intellectual capital portfolios held by biotechnology companies. By developing new models that accoun ....Valuations and Business Models for Biotechnology Companies. The primary aim of this project is to reduce the risk involved in investment in biotechnology companies by developing a model that will aid in a more accurate assessment of their value. This project will also develop commercialisation pathways incorporating valuation modeling techniques that will maximise the commercial potential of the intellectual capital portfolios held by biotechnology companies. By developing new models that account for the specific variables of the biotechnology industry, this project will contribute new knowledge and advance development of valuation models applicable to other knowledge-based industries which share characteristics such as intangible assets, high risk, complexity and uncertainty.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882979
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Australian High Performance Computational Structural Biology Facility. This work will have major outcomes for structural biology research at a national and international level. For structure determination, the ability to perform massively parallel calculations will afford a timesaving of weeks to months. Further, significant insights will be gained into the use of high-performance grid computing in protein structure determination by X-ray crystallography. This knowledge has considerable impact ....Australian High Performance Computational Structural Biology Facility. This work will have major outcomes for structural biology research at a national and international level. For structure determination, the ability to perform massively parallel calculations will afford a timesaving of weeks to months. Further, significant insights will be gained into the use of high-performance grid computing in protein structure determination by X-ray crystallography. This knowledge has considerable impact on our ability to undertake high quality structural biology research - a key area in the majority of biological research programs. Software developed will be made available to academic researchers free of charge.Read moreRead less
Reconstructing landscapes for biodiversity: From predictive modelling to future scenarios. Many landscapes around the world have been effectively denuded of natural vegetation, causing precipitous declines in native biodiversity. Mitigation of such effects in the near/medium-term future requires substantial ecological advice. We will employ our skills developed in modelling distributions of species across landscapes based on terrain, soils and climate to assess alternative landscape-reconstructi ....Reconstructing landscapes for biodiversity: From predictive modelling to future scenarios. Many landscapes around the world have been effectively denuded of natural vegetation, causing precipitous declines in native biodiversity. Mitigation of such effects in the near/medium-term future requires substantial ecological advice. We will employ our skills developed in modelling distributions of species across landscapes based on terrain, soils and climate to assess alternative landscape-reconstruction scenarios. This links use of existing data sets for initial modelling, a validation phase for testing model reliability and for refining models, and a subsequent GIS-based modelling phase in which alternative options for reconstructing landscapes are evaluated for their effectiveness in sustaining landscape-scale native biodiversity.Read moreRead less
Special Research Initiatives - Grant ID: SR0566602
Funder
Australian Research Council
Funding Amount
$87,933.00
Summary
Development of a collaborative online environment and workbench for the investigation of protein folding. The investigation of protein folding – one the most important unsolved biological problems, is generating large amounts of complex data. This proposal aims to develop a highly collaborative content management system and interactive data mining tools that will allow the open exchange and analysis of protein folding data. A chief goal of this proposal is, by creating a rich informatics envir ....Development of a collaborative online environment and workbench for the investigation of protein folding. The investigation of protein folding – one the most important unsolved biological problems, is generating large amounts of complex data. This proposal aims to develop a highly collaborative content management system and interactive data mining tools that will allow the open exchange and analysis of protein folding data. A chief goal of this proposal is, by creating a rich informatics environment, to foster the exchange of ideas and rapid dissemination of new data across the international array of groups working in parallel on various aspects of the folding problem.Read moreRead less
Modelling with stochastic differential equations. We will develop methodology for modelling and analysis of phenomena subjected to random and uncertain influences, such as behaviour of investors in the market, evolution of economy, values of stocks and ant colonies. This methodology will enable scientists to achieve more accurate description and analysis of their models and provide better understanding of these phenomena. Creating the tools for understanding such complex systems will have far re ....Modelling with stochastic differential equations. We will develop methodology for modelling and analysis of phenomena subjected to random and uncertain influences, such as behaviour of investors in the market, evolution of economy, values of stocks and ant colonies. This methodology will enable scientists to achieve more accurate description and analysis of their models and provide better understanding of these phenomena. Creating the tools for understanding such complex systems will have far reaching benefits both nationally and internationally and will allow Australia to strengthen its position in international research. The project will also provide for postgraduate training and international scientific exchange.Read moreRead less
Stochastic systems with applications to Biology and Finance. This project is concerned with stochastic systems. These mathematical systems, which are controlled by statistical uncertainty and variability, have profound importance in the fields of biology and finance. They are recognised worldwide as being of primary scientific importance. Important questions to be examined are: 1) Branching processes in DNA Polymerase Chain Reaction, 2) long term stationarity in metastable systems, and 3) Sto ....Stochastic systems with applications to Biology and Finance. This project is concerned with stochastic systems. These mathematical systems, which are controlled by statistical uncertainty and variability, have profound importance in the fields of biology and finance. They are recognised worldwide as being of primary scientific importance. Important questions to be examined are: 1) Branching processes in DNA Polymerase Chain Reaction, 2) long term stationarity in metastable systems, and 3) Stochastic Volatility in Finance. The answers to these questions will underpin the statistical theory for potential breakthroughs in the respective areas. This project will contribute to the theory and applications of Stochastic Processes, as well as modelling in biology and finance.Read moreRead less
3D analysis of facial features for proof of identity across Australia's ethnically diverse population. The forensic sciences concerned with establishing Human identity play a vital role in safeguarding Australia. Certainty in Human identification is required by police and intelligence agencies because knowing the identity of perpetrators (or potential perpetrators) of crime allows effective preventative intervention. This is particularly important during surveillance operations and in the contex ....3D analysis of facial features for proof of identity across Australia's ethnically diverse population. The forensic sciences concerned with establishing Human identity play a vital role in safeguarding Australia. Certainty in Human identification is required by police and intelligence agencies because knowing the identity of perpetrators (or potential perpetrators) of crime allows effective preventative intervention. This is particularly important during surveillance operations and in the context of border protection. When crime has already been committed, the identification of victims and perpetrators is important for the exoneration of the innocent and successful prosecution of the guilty. The full utilisation of 3D morphometric analysis of faces will provide criteria robust enough for legal proof of identity. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882682
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
The Australasian Pollen and Spore Atlas. The results generated in this project will enhance Australian research capabilities across multiple disciplines by providing access to key knowledge of pollen and spores in our region. A unified approach to the archiving, presentation and accessibility to existing and evolving databases will provide a considerably improved context for identification and knowledge pooling of any given pollen or spore type. This will create a nexus for novel interactions be ....The Australasian Pollen and Spore Atlas. The results generated in this project will enhance Australian research capabilities across multiple disciplines by providing access to key knowledge of pollen and spores in our region. A unified approach to the archiving, presentation and accessibility to existing and evolving databases will provide a considerably improved context for identification and knowledge pooling of any given pollen or spore type. This will create a nexus for novel interactions between researchers and end users of these data from within and beyond Australia's borders.Read moreRead less
Special Research Initiatives - Grant ID: SR0567460
Funder
Australian Research Council
Funding Amount
$85,000.00
Summary
Development of a collaborative environment for high throughput biology discovery pipelines. Modern biological science involves the parallel high-throughput investigation of many hundreds of different experimental targets. Traditional approaches for recording, analysing, mining and cross comparing experimental data are inadequate for conducting high throughput experiments. This proposal aims to develop new algorithms in the high throughput arena that will revolutionize biological discovery.