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
Quantitative dynamics of functional magnetic resonance imaging. By modeling and verifying the dynamics of brain activity and blood flow that underlie functional magnetic resonance imaging (fMRI), this project will yield improved scientific outcomes and imaging sensitivity. The new data analysis techniques and technologies that result will yield potentially patentable intellectual property, and will increase the standing of Australia in this rapidly developing field, including via links being bu ....Quantitative dynamics of functional magnetic resonance imaging. By modeling and verifying the dynamics of brain activity and blood flow that underlie functional magnetic resonance imaging (fMRI), this project will yield improved scientific outcomes and imaging sensitivity. The new data analysis techniques and technologies that result will yield potentially patentable intellectual property, and will increase the standing of Australia in this rapidly developing field, including via links being built to leading international workers. The National Research Priority Goals of Frontier Technologies, Breakthrough Science, Smart Information Use, and Promoting an Innovation Economy will thus be advanced.Read moreRead less
Decision-making in social insects and nature-inspired optimisation algorithms. Insect societies are ideal for the study of complex systems. Contrary to other complex systems, insect colonies can be modified without destroying the system. Computer scientists have found a source of inspiration in the behaviour of social insects for solving optimisation problems. Here we will study the influence of information flow on decision-making in real insect societies using:
1) Experiments aimed at investig ....Decision-making in social insects and nature-inspired optimisation algorithms. Insect societies are ideal for the study of complex systems. Contrary to other complex systems, insect colonies can be modified without destroying the system. Computer scientists have found a source of inspiration in the behaviour of social insects for solving optimisation problems. Here we will study the influence of information flow on decision-making in real insect societies using:
1) Experiments aimed at investigating how storage and transfer of information affects individual decision-making within a honey bee colony (University of Sydney)
2) Design of a new class of 'bee' algorithms that incorporate direct information transfer and are aimed at solving dynamic multicriterion optimisation problems (University of Leipzig).
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Retracing the Early Evolution of Metazoa using Novel Methods and Strategies. Metazoa is one of the best-characterised groups of species in terms of its morphology, fossil record, development, and genetic make-up, but the phylogeny remains obscure because the fossil record is incomplete and because molecular phylogenetic methods have not yet been developed with the complexity of genomic data in mind. We will develop methods and strategies for the analysis of whole genomes, and use them in studies ....Retracing the Early Evolution of Metazoa using Novel Methods and Strategies. Metazoa is one of the best-characterised groups of species in terms of its morphology, fossil record, development, and genetic make-up, but the phylogeny remains obscure because the fossil record is incomplete and because molecular phylogenetic methods have not yet been developed with the complexity of genomic data in mind. We will develop methods and strategies for the analysis of whole genomes, and use them in studies of the mitochondrial genome. We will infer the animal phylogeny, and use it to chart the evolution of animal morphology and development, and the evolution of mitochondrial genetic codes, gene order, and nucleotide content.Read moreRead less
A mathematical model relating neural activity to cerebral blood flow. An ageing population is increasingly prone to neurodegenerative disease and the associated mental impairment can severely disrupt the lives of both the sufferers and the carers. Non-invasive brain imaging techniques are used to both diagnose and supervise treatment of such disease, but at present a lack of understanding of the underlying physiology leaves these methods open to criticism. The construction of a detailed quanti ....A mathematical model relating neural activity to cerebral blood flow. An ageing population is increasingly prone to neurodegenerative disease and the associated mental impairment can severely disrupt the lives of both the sufferers and the carers. Non-invasive brain imaging techniques are used to both diagnose and supervise treatment of such disease, but at present a lack of understanding of the underlying physiology leaves these methods open to criticism. The construction of a detailed quantitative model of the basic processes underlying this imaging will enable precise interpretation of such brain scans and increase their usefulness both as a research and as a therapeutic tool.Read moreRead less
A mathematical model of calcium signalling in single cells and in multicellular systems. Calcium released from stores inside cells plays a vital signalling role in living organisms. It initiates cell division after fertilization, mediates communication and learning in the nervous system, causes contraction in the muscular walls of arteries and plays an important but as yet poorly understood role in the information processing that occurs in systems of coupled glial cells. We will construct a uni ....A mathematical model of calcium signalling in single cells and in multicellular systems. Calcium released from stores inside cells plays a vital signalling role in living organisms. It initiates cell division after fertilization, mediates communication and learning in the nervous system, causes contraction in the muscular walls of arteries and plays an important but as yet poorly understood role in the information processing that occurs in systems of coupled glial cells. We will construct a unified mathematical model of calcium signalling in multicellular systems, starting from the known processes in single cells, and use it to gain insight into the functioning and possible dysfunctioning of calcium-mediated intercellular communication.Read moreRead less
House hunting honey bees: speed-accuracy trade-offs in collective decision-making. This project will uncover the mechanisms that underlie the trade-off between speed and accuracy in collective decision-making. We will study two species of honey bee that differ in the relative importance of speed and accuracy when deciding on a new home. Natural selection has shaped the decision-making process differently in the two species, one favouring speed, the other accuracy. We will use the natural wisdom ....House hunting honey bees: speed-accuracy trade-offs in collective decision-making. This project will uncover the mechanisms that underlie the trade-off between speed and accuracy in collective decision-making. We will study two species of honey bee that differ in the relative importance of speed and accuracy when deciding on a new home. Natural selection has shaped the decision-making process differently in the two species, one favouring speed, the other accuracy. We will use the natural wisdom evolved by the bees to design new mathematical models of collective decision-making. These can be applied to create efficient decision-making tools that will be useful for any large organization.Read moreRead less
Statistical methods for analysing multi-source microarray data and building gene regulatory networks. I will devise a statistical learning technique that does not force a gene to be assigned to exactly one category. This technique reflects the biological reality that a gene can belong to two or more functional categories. Therefore, the new technique will improve a model's ability to identify regulatory genes in different types of cancer; these regulatory genes can be targeted by new anti-cancer ....Statistical methods for analysing multi-source microarray data and building gene regulatory networks. I will devise a statistical learning technique that does not force a gene to be assigned to exactly one category. This technique reflects the biological reality that a gene can belong to two or more functional categories. Therefore, the new technique will improve a model's ability to identify regulatory genes in different types of cancer; these regulatory genes can be targeted by new anti-cancer drugs resulting in a more effective treatment. I will model gene regulatory networks using microarray data from multiple sources. These networks will be used to identify regulatory cliques - a group of genes that are vital for a cellular function. This will improve our understanding of debilitating conditions such as asthma.Read moreRead less
Nonlinear Dynamics of Pulse Coupled Oscillators. A mathematical model of the heart pacemaker system will be created, based on simple interacting units. These units have been shown to be good models of physiological information e.g. the discrimination of different influences on heart rate. We will firstly look at the interaction of the units in simple combinations and then tune the model to mimic the behaviour of the cardiac pacemaker.
Potential benefits may arise from elucidating the mechanis ....Nonlinear Dynamics of Pulse Coupled Oscillators. A mathematical model of the heart pacemaker system will be created, based on simple interacting units. These units have been shown to be good models of physiological information e.g. the discrimination of different influences on heart rate. We will firstly look at the interaction of the units in simple combinations and then tune the model to mimic the behaviour of the cardiac pacemaker.
Potential benefits may arise from elucidating the mechanisms underlying arrhythmias which contribute to ?sudden cardiac death? in young men, and suggesting strategies for artificial pacemakers to effectively arrest abnormal rhythms before they convert to potentially fatal fibrillation.Read moreRead less
Mapping Protein Contacts and Conformational Changes in Macromolecular Assemblies. We now have a great deal of information about the structures of proteins that interact to do much of the chemistry that governs the lives of cells and organisms, but are just beginning to understand how proteins communicate with each other in the large, dynamic molecular machines that carry out many cellular functions. Australia has invested in expensive instrumentation that can be used in conjunction with new labo ....Mapping Protein Contacts and Conformational Changes in Macromolecular Assemblies. We now have a great deal of information about the structures of proteins that interact to do much of the chemistry that governs the lives of cells and organisms, but are just beginning to understand how proteins communicate with each other in the large, dynamic molecular machines that carry out many cellular functions. Australia has invested in expensive instrumentation that can be used in conjunction with new laboratory methods to develop better understanding of how these machines work, and how they malfunction in disease. This project will bring together four scientists with a unique combination of expertise and novel technologies to develop understanding of changes in structure of a large protein complex in different functional states.Read moreRead less