ARC Centre for Kangaroo Genome. In this Australian-led Kangaroo Genome Project, we will map and characterize the tammar wallaby genome at the molecular level. Marsupial genomes are uniquely valuable because they provide comparisons that reveal new human genes, regulatory sequences and marsupial-specific genes. These will deliver new products and information useful for medicine, industry, agriculture and conservation. We will construct integrated genetic and physical maps of the genome, clone the ....ARC Centre for Kangaroo Genome. In this Australian-led Kangaroo Genome Project, we will map and characterize the tammar wallaby genome at the molecular level. Marsupial genomes are uniquely valuable because they provide comparisons that reveal new human genes, regulatory sequences and marsupial-specific genes. These will deliver new products and information useful for medicine, industry, agriculture and conservation. We will construct integrated genetic and physical maps of the genome, clone the whole genome as large inserts in BAC vectors, and build a "golden path" with minimal overlap. We will construct libraries of expressed genes from tammar tissues and array them for use in analysing gene expression.Read moreRead less
Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results ....Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results will test the generality of principles that have been developed in studies of female mate choice and extend these ideas to address intra-sexual selection operating through opponent assessment.Read moreRead less
Epigenetic silencing in vertebrates: evolution and function from the bottom-up. The primary benefits are contribution to Australia's knowledge base and raising the profile of functional genomics in Australia, with the research priority of Frontier Technologies for Building and Transforming Australian Industries and priority goals in Breakthrough Science and Frontier Technologies. This project focuses on important biological questions surrounding gene regulation and sex chromosome evolution. Inte ....Epigenetic silencing in vertebrates: evolution and function from the bottom-up. The primary benefits are contribution to Australia's knowledge base and raising the profile of functional genomics in Australia, with the research priority of Frontier Technologies for Building and Transforming Australian Industries and priority goals in Breakthrough Science and Frontier Technologies. This project focuses on important biological questions surrounding gene regulation and sex chromosome evolution. International attention has already resulted in genome characterization of Australian icons (wallaby, Tasmanian devil and platypus), more research on these, and other Australian animals, will further highlight the importance of Australian fauna and impact positively on our scientific profile.Read moreRead less
Origin and Evolution of Mammalian Dosage Compensation. The primary benefits are contribution to Australia's knowledge base and raising the profile of functional comparative genomics in Australia, with the research priority of 'Frontier Technologies for Building and Transforming Australian Industries' and priority goals in 'Breakthrough Science and Frontier Technologies'. This project addresses fundamental questions about the evolution of mammalian X-chromosome inactivation, of importance as a mo ....Origin and Evolution of Mammalian Dosage Compensation. The primary benefits are contribution to Australia's knowledge base and raising the profile of functional comparative genomics in Australia, with the research priority of 'Frontier Technologies for Building and Transforming Australian Industries' and priority goals in 'Breakthrough Science and Frontier Technologies'. This project addresses fundamental questions about the evolution of mammalian X-chromosome inactivation, of importance as a model for epigenetic change, and sex chromosomes, which has engaged some of the greatest genetic minds over nearly a century. Therefore my results will attract wide international interest and impact positively on Australia's scientific profile, and further highlight the importance of Australian mammals.Read moreRead less
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
User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating conc ....User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating concepts, designs, products and advanced training systems in industry and government organisations. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimised. Intended outcomes include novel dynamic user-task profiling algorithms and new adaptive algorithms for user-task co-adaptation. Practical outcomes may include robust and highly effective simulation environments.Read moreRead less
Special Research Initiatives - Grant ID: SR0354500
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
ARC Research Network in Microarray Technology. The primary aim of this proposal is to transform the premier genomic technology into a standard research tool; microarrays are now a priority for anyone studying the genetics underlying key biological processes. A principal challenge for the Australian research community is to capture all aspects of microarray technology and make them readily available. We will address these needs by developing a network to:
-establish regular research meetings,
- ....ARC Research Network in Microarray Technology. The primary aim of this proposal is to transform the premier genomic technology into a standard research tool; microarrays are now a priority for anyone studying the genetics underlying key biological processes. A principal challenge for the Australian research community is to capture all aspects of microarray technology and make them readily available. We will address these needs by developing a network to:
-establish regular research meetings,
-facilitate training in array methodologies and bioinformatics,
-co-ordinate innovation of technologies,-provide centralised data warehousing,
-provide access to automated high-level gene annotation,
-provide data mining tools,
-set standards for data management and exchangeRead moreRead less
Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347223
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
Quantitative PCR facility for New England region of NSW. The project will deliver the first real-time PCR facility in the New England Region of NSW for use by University, CSIRO and Industry scientists. The facility will be based at the University of New England and be used by animal scientists, molecular biologists, parasitologists, immunologists and botanists at these institutions, in many cases in collaborative research projects. It will also support the training of seven PhD students and a po ....Quantitative PCR facility for New England region of NSW. The project will deliver the first real-time PCR facility in the New England Region of NSW for use by University, CSIRO and Industry scientists. The facility will be based at the University of New England and be used by animal scientists, molecular biologists, parasitologists, immunologists and botanists at these institutions, in many cases in collaborative research projects. It will also support the training of seven PhD students and a post-doctoral fellow. The facility will be unique to the region and will remove our current need to use facilities in Brisbane or Sydney.Read moreRead less
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less