Potential projects
The Victorian Life Sciences Computation Initiative has attracted more than eighty expressions of interest from many fields in the life sciences and other areas of research keen to make use of the future PCF. The list below provides examples of the types of projects which may make use of the Peak Computing Facility.
Project descriptions
| Organisation | Title | Researcher |
| Melbourne University, AQIS and ACERA | Data mining for import risk for Australian Quarantine Inspection Service | Andrew Robinson |
| Monash University | Anti-Cancer drugs - Protein Biochemistry, Cell Biology and Cancer Research | |
| Monash University | Protein Crystallography - Structural Biology and Bioinformatics | |
| Monash University | Protein Crystallography - Determination of Protein Structure | |
| Monash University | More bang for your carbon buck: carbon, biodiversity and water balance consequences of whole-catchment carbon farming | |
| Monash University | Imaging of Small Living Animals - Image Analysis for brain imaging studies | |
| Monash University | Genomics - Molecular biophysics | |
| Monash University | Drug Discovery | |
| Monash University | Pharmaceutical drug design | |
| Monash University | Circulation and Respiratory Diseases - Biofluids Engineering | |
| Monash University | Understanding the interaction between elasticity and hydrodynamics in soft matter | |
| Monash University | Collapse dynamics of polymers in poor solvents | |
| Monash University | Modelling blood flow in the microcirculation: towards realistic simulation of hemodynamics and hemorheology | |
| RMIT | Theoretical studies of hydrogen interaction with novel nanostructures | Prof Irene Yarovsky |
| RMIT | Computational design and synthesis of transparent conducting metal oxydes | Prof Irene Yarovsky |
| RMIT, Monash University, Howard Florey Institute and Swinburne University | Parallel processing and visualisation of massive volume data in biomedical and microbiological research | Prof Heinz Schmidt, Prof Juyian Tu |
| RMIT and University of Queensland | Neuroscience and brain physiology | Prof David Adams |
| Peter MacCallum Institute | Personalized cancer medicine - understanding the software code of cancer | |
| Melbourne Neuropsychiatry Centre | Data mining the clinical, behavioural and neurobiological biomarkers of mental illness | |
| Melbourne Neuropsychiatry Centre | Computational Models of neuropsychiatric disorders | |
| Melbourne Neuropsychiatry Centre | Cortical Surface Motion and cortical thickness | |
| Melbourne Neuropsychiatry Centre | Mapping the structural and functional connectivity of the brain | |
| LaTrobe University | Computer aided design of PDK1 inhibitors | |
| Melbourne University | Epilepsy and Neural Circuits | |
| Melbourne University and Royal Melbourne Hospital | Creation of Hidden Markov Models to predict the progression of chronic diseases such as CF and Diabetes | |
| NICTA Victoria Research Laboratory | Advanced analysis for high throughput sequencing | |
| NICTA Victoria Research Laboratory | A DNA sequence homology atlas | |
| Melbourne University | Analysis of the effect of mutations on protein activitys - The Human Variome Project / InSiGHT model | |
| Melbourne University | Literature searching strategiess - The Human Variome Project / HNPCC model | |
| Melbourne University | Simulations for fisheries management strategy evaluation | |
| Melbourne University, Royal Melbourne Hospital and Western Health | Bioinformatics - identifying metabolomic profiles and patterns in urine samples | |
| Melbourne University, Royal Melbourne Hospital and Western Health | Bioinformatics: Development of prognostic indicators of vascular disease development using non-invasive scanning techniques | |
| Centre for Neuroscience | Analyses of MRI neuroimaging data | |
| Melbourne University | Australian Phenomics Network: The University of Melbourne component of the international effort to understanding human molecular physiology and pathology through integrated approaches using mouse models of disease | |
| Melbourne University | Human gene discovery in cardiovascular disease | |
| Biogrid | Bioinformatics: Automated analysis of MRI brain images | |
| Biogrid and Royal Melbourne Hospital | Automated analysis and interpretation of retina scans, especially in relation to progression of retinopathy in diabetic patients | |
| Melbourne University and Royal Melbourne Hospital | Bioinformatics: creation of dynamic hazard models for survival analysis, in situations with large scale right-censorship and left truncation for both type 1 and type 2 diabetes patients | |
| Melbourne University | Using statistical techniques to discover cancer-susceptibility genes and to accurately estimate their effect on cancer risk | |
| Melbourne University, Austin Health and Northern Health | In silico modelling of stroke | |
| Melbourne University | Disease network modelling | Mark Considine, Jenny Lewis, Pip Pattison, Garry Robins, Liz Sonenberg |
| Melbourne University | Agent-based modelling of network dynamics | Mark Considine, Jenny Lewis, Pip Pattison, Garry Robins, Liz Sonenberg |
| Melbourne University | The Computational Kidney Modeling Project | |
| Swinburne University | Operating mechanism and molecular dynamics of biomolecular motors - ligand-protein binding and protein-protein interactions | Dr Ming S. Liu, Prof Billy D. Todd and Prof Richard J. Sadus |
| Walter and Eliza Hall Institute | Automated analysis of time lapse microscope video | |
| Walter and Eliza Hall Institute | Modeling lymphocyte proliferation | |
| Melbourne University | Complex models for the spread of infectious disease | Prof John Mathews, Prof Pip Pattison, Prof Terry Nolan, Dr James McCaw, Dr Paul Pallaghy, Dr Jodie McVernon |
| Melbourne University, VPAC, UWA, ANU, Adelaide, Monash, CSU, CSIRO and UNSW | Laser Interferometer Gravitational Wave Observatory | Andrew Melatos, Andrew Ooi and David Bannon |
| Melbourne University, Biogrid Australia, Royal Melbourne Hospital, Murdoch Childrens Research Institute, St. Vincents Hospital, The Menzies Research Institute | A multi-SNP pharmacogenomic classifier is superior to single SNP models for predicting drug outcome in complex diseases | |
| Melbourne University and Royal Melbourne Hospital | Development of a multi-genetic predictor for pharmacoresponsiveness to anti-epileptic drug treatment | |
| Melbourne University and Bio21 Institute | Molecular Recognition and Synchrotron Research | |
| Melbourne University | Computational Validation of Synchrotron Derived Data | |
| LaTrobe University | Brownian dynamics of cell: cell interactions and polymer interactions | Prof Ed Smith |
| Melbourne University | Modelling the brain-behaviour link | |
| Walter and Eliza Hall Institute | NextGen DNA sequencing | |
| Walter and Eliza Hall Institute | Phylogenetic analyses | |
| Walter and Eliza Hall Institute | Large-scale data mining and network construction | |
| Walter and Eliza Hall Institute | Computational statistical genetics | |
| Walter and Eliza Hall Institute | Modeling homeostasis and the maintenance of the T-cell repertoire | |
| Walter and Eliza Hall Institute | Computational systems biology of cancer | |
| Melbourne University | Diffusion and perfusion MRI in brain tumour patients | |
| Melbourne University | Perfusion imaging of stroke using blood oxygen level dependent and dynamic susceptibility MRI | |
| Melbourne University | Optimisation of diffusion tensor MRI techniques for clinical assessment of white matter integrity | |
| Melbourne University | Optimisation of functional MRI paradigms for imaging the visual cortex | |
| Melbourne University | More accurate climate predictions | |
| Swinburne University | Biomolecular simulation and bioinformatics | |
| LaTrobe University | Bioinformatics - developing reliable searching algorithms for motifs discovery | A/Prof Dianhui Wang |
| CSIRO | Complexity-based modelling of stem cell fate | |
| RMIT | Molecular simulation of the effect of interfaces on biomolecules | |
| Bio21 and Metabolomics Australia | Metabolomics Australia | |
| Victorian Cancer Biobank Consortium | Using in situ hybridisation and/or immuno-histochemistry to evaluate and quantitate new genes identified in RNA-based microarray studies | |
| Victorian Cancer Biobank Consortium | High-throughput analysis of cancer tissue arrays to evaluate expression of new genes discovered using RNA-based microarray analysis | |
| Melbourne University | Hydrocephalus hydro-mechanical model based on MRI images | |
| La Trobe University | Looking for disease susceptibility using very large “omic” data sets | |
| Australian Genome Research Facility | Genome analysis from microbes to humans | |
| The Australian Synchrotron | Materials science with synchrotron radiation | |
| Melbourne University and Royal Melbourne Hospital | Bioinformatics: creation of dynamic hazard models for survival analysis, in situations with large scale right-censorship and left truncation for both type 1 and type 2 diabetes patients | |
| Melbourne University | Advanced epidemiological modelling – MCMC estimation of parameters in high dimensions, and comparison of alternative model assumptions | |
| Melbourne University | Hydrocephalus hydro-mechanical model based on MRI images |