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Found 21 matching student topics

Displaying 13–21 of 21 results

Identifying protein and metabolite markers of burn injury and trauma

It can be difficult for clinical teams to determine the severity of burn injuries when the patient first presents to the hospital. This is because burn wounds continue to deepen/progress over time, in a process known as burn wound conversion. Some wounds may deepen over days or weeks and require aggressive surgical treatment e.g. grafting, and some wounds don’t progress, stay superficial in depth, and they can be managed conservatively with the application of different bandages or dressings. We have …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Prostate cancer transcriptomics (BIOM02)

At the Australian Prostate Cancer Research Centre QLD we are exploring how cancer cells can adapt and reprogram to become resistant to treatment and thus enable progression to advanced disease.A focus area of our research is studying the transcriptome changes in prostate cancer cell lines, xenograft models and patient samples using RNA sequencing technologies. By integrating our own data sets with publicly available studies, we explore the cellular heterogeneity of prostate tumours and the plasticity of cancer cells in response …

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Biomedical Sciences

Integrative multi-omics to identify epigenetic regulators of alternative splicing in animal models of disease and behaviour

The molecular process that leads to multiple mRNA transcripts being produced from the same segment of DNA (aka gene) is known as alternative splicing (AS). This is a common form of regulation in higher eukaryotes, enabling the production of novel protein isoforms, which in turn are known to have a big impact on phenotype. Understanding the regulatory factors involved in AS, including epigenetic mechanisms such as DNA methylation, will offer key insights into important biological phenomena.Traditionally, AS and the detection …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Genomics and Personalised Health

Representation learning for anti-microbial resistance

This project is about using neural network models help us understand Anti-Microbial Resistance (AMR), a phenomenon in which bacteria adapt to reduce the effectiveness of antibiotics, usually through a process known as Lateral or Horizontal Gene Transfer - where genes are included in the organism from other sources.Our focus will be on learning compact vector representations of biological sequences known to be associated with AMR genes. By encoding DNA sequences in this way we can more rapidly identify AMR genes …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

Investigation of genetic factors that contribute to concussion and its outcomes

The health outcomes from traumatic brain injuries (TBIs) and concussion depend on the nature of the injury, but response also varies greatly between individuals, suggesting that genetic factors may play a role. In particular, due to effects of head trauma on balances of ions, neurotransmitters and energy use in the brain, there is suggestion that variation in the genes that encode proteins involved in these pathways, e.g. ion channels, may affect the risk of, as well as response to a …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Molecular modelling of GAG-protein interactions

Glycosaminoglycans (GAGs), also known as mucopolysaccharides, are negatively-charged polysaccharide compounds. They are a key constituent of the extracellular matrix and act as a filler substance between cells and fibres in tissues. These molecules also play a role in several viral infections, in which they enhance cell entry and release of the viruses.Interest continues to grow in understanding the precise nature of the interactions between GAGs and their binding partners and in defining specific biologically active sequences or arrangements of domains.Existing …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

Molecular modelling and simulations of anionic molecules

Biomolecular recognition refers to the interaction between a macromolecule (usually a protein or a nucleic acid) and a target molecule. Most often obtaining 3D experimental data is not trivial at atomistic scale. Computational methods offer the possibility of precisely describing all types of ligand–macromolecule interactions and are therefore a promising avenue to obtain that information, to test or discard a large variety of hypotheses regarding molecular recognition, folding of proteins/peptides and/or to select, among the vast chemical space of potential …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

Applications of bioinformatics and statistical modelling in genomics and personalised health

Prostate cancer is one of the leading causes of mortality and is the most diagnosed cancer among men in Australia. The identification of novel biomarkers in prostate cancer could be valuable in the design of therapeutics and the identification of their molecular targets. Previous prostate cancer bioinformatic studies have recognised risk-associated genetic components as potential biomarkers.This project will apply statistical and mathematical approaches to identify novel biomarkers in prostate cancer.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

Information retrieval and coding methods for large scale bioinformatics

Advances in sequencing technologies over the past two decades have led to an explosion in the availability of genomic sequence data and an increasingly urgent need for scalable clustering and search facilities. One approach is to encode sequences as binary vectors in a high-dimensional space, simplifying the comparison and allowing it to be computed very rapidly using bit-level operations.Coupled with these ideas is the need to provide clustering methods and efficient indexing and lookup in response to search queries. One …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science
Research centre(s)
Centre for Data Science

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