Statistical methods for detection of non-coding RNAs in eukaryote genomes. Understanding how eukaryotic cells work is a major goal of 21st century biology. A crucial step will be to catalogue the functional components of eukaryotic genomes. Australian researchers must be involved in this process at an early stage, in order to maximise commercial opportunities, attract quality researchers and position ourselves for further advances. This project will make major contributions to international effo ....Statistical methods for detection of non-coding RNAs in eukaryote genomes. Understanding how eukaryotic cells work is a major goal of 21st century biology. A crucial step will be to catalogue the functional components of eukaryotic genomes. Australian researchers must be involved in this process at an early stage, in order to maximise commercial opportunities, attract quality researchers and position ourselves for further advances. This project will make major contributions to international efforts in this area, via the development of statistical methods for segmenting genomes, classification of those segments, and study of the resulting classes. In the long term, enhanced understanding of eukaryotic cells will lead to breakthroughs in biology, and to medical, pharmaceutical, agricultural and scientific advances.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347727
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Computational infrastructure for high-throughput genome bioinformatics. We propose a high-performance computing and web facility for genome bioinformatics. It will provide a common software development environment in support of molecular biosciences, systems biology and complex systems modelling at the Institute for Molecular Bioscience at University of Queensland, and at Queensland University of Technology. The platform will support Australia's first genome-scale bioinformatics research website ....Computational infrastructure for high-throughput genome bioinformatics. We propose a high-performance computing and web facility for genome bioinformatics. It will provide a common software development environment in support of molecular biosciences, systems biology and complex systems modelling at the Institute for Molecular Bioscience at University of Queensland, and at Queensland University of Technology. The platform will support Australia's first genome-scale bioinformatics research website, with unique software and mirrors of the IBM Biological Pattern Discovery, UC San Diego MEME/MetaMEME/MAST, and NGI comparative genomics websites. Australian/NZ researchers will access the facility at no cost for high-throughput use of unique software, website mirrors and other important tools for genome bioinformatics.Read moreRead less
Classification of Microarray Gene-Expression Data. The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of ....Classification of Microarray Gene-Expression Data. The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of the methodology to be developed is to expedite the discovery of new subclasses of diseases. Another is to provide prediction rules for the diagnosis and treatment of diseases.Read moreRead less
High Resolution EPR Spectroscopy - A Tool for Determining Electronic and Geometric Structure of Metalloenzymes. High resolution orientation selective pulsed EPR and END(T)OR in conjunction with computer simulation (XSophe) and computational chemistry will allow the determination of the electronic and geometric structure (distance and orientation of nuclei surrounding the metal ion(s)) of multiple redox centres in DMSOR, DorC and DMSDH to be determined. In addition pulsed ELDOR in conjunction wi ....High Resolution EPR Spectroscopy - A Tool for Determining Electronic and Geometric Structure of Metalloenzymes. High resolution orientation selective pulsed EPR and END(T)OR in conjunction with computer simulation (XSophe) and computational chemistry will allow the determination of the electronic and geometric structure (distance and orientation of nuclei surrounding the metal ion(s)) of multiple redox centres in DMSOR, DorC and DMSDH to be determined. In addition pulsed ELDOR in conjunction with molecular modelling will enable the mapping (distance and orientation) of redox centres in complex multicentered metalloproteins (DMSDH and DorC) and in protein-protein complexes (DMSOR-DorC) providing information on the pathway of electron transfer and hence the role of the pyranopterins.Read moreRead less
New computational methods study on protein function prediction. The proposed research aims to develop new computational methods to solve one of the most important bioinformatics problems in the post-genome era. This project will expand the knowledge on protein sequence-structure-function relationship, provide new analysis methods and predict the functions of novel proteins. This project will strengthen Australia's reputation for research excellence.
Mutagenesis and combinatorial algorithms for sequencing problematic genomic regions. This project will develop a remarkable and original approach to DNA sequencing with potential to radically improve the speed, accuracy and effectiveness of existing sequencing technologies. It is especially useful for dealing with difficult-to-sequence genomic regions and has implications for all sequencing projects, including completion of the Human Genome Project. The approach involves generating, and wholly o ....Mutagenesis and combinatorial algorithms for sequencing problematic genomic regions. This project will develop a remarkable and original approach to DNA sequencing with potential to radically improve the speed, accuracy and effectiveness of existing sequencing technologies. It is especially useful for dealing with difficult-to-sequence genomic regions and has implications for all sequencing projects, including completion of the Human Genome Project. The approach involves generating, and wholly or partially sequencing, mutated copies of problematic regions of the target genome. Advanced combinatorial algorithms are then used to form highly probable alignments between strings and determine the unknown sequence. The approach has additional benefits in detecting single-nucleotide polymorphisms and sequencing errors.Read moreRead less
Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identi ....Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identifying RNA molecules that contribute to quantitative phenotypes including susceptibility to disease. As such, it will directly benefit fundamental science via the discovery and classification of new molecules. Indirectly, it will lead to breakthroughs in biology, and consequently to major medical and pharmaceutical advances in the diagnosis and treatment of genetic disease.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.
Membrane Proteins within the Mouse Transcriptome- Annotation of their Organisation and Subcellular Localisation. A major issue in cell biology today is how distinct regions of the cell maintain their unique composition of proteins. The aim of this grant is to identify membrane proteins within the mouse genome and annotate their localisation within the cell. Our multi-discipline effort will combine extensive computational prediction strategies with focused cellular biology experimental determinat ....Membrane Proteins within the Mouse Transcriptome- Annotation of their Organisation and Subcellular Localisation. A major issue in cell biology today is how distinct regions of the cell maintain their unique composition of proteins. The aim of this grant is to identify membrane proteins within the mouse genome and annotate their localisation within the cell. Our multi-discipline effort will combine extensive computational prediction strategies with focused cellular biology experimental determination. The underpinning experimental technology, termed reverse transfection arrays, allows for high-throughput assessment of cellular phenotype properties for individual proteins.Read moreRead less
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