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Exploring global viral diversity with conserved sequence tags

Viruses control much of the world indirectly through infection of microbial cells. Modern metagenomics provides the raw data to investigate their dynamics and patterns of co-occurrence with the microbial hosts, but extracting signal from these datasets at the large scale remains challenging. Marker-gene based approaches, such as SingleM, have shown great promise for microbial data, converting metagenomic datasets into community profiles by concentrating on reads which derive from conserved sections of prevalent genes.

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Using machine learning to understand the world's microbiomes

Shotgun metagenomic sequencing has become commonplace when studying microbial communities and their relationship ship with the health of our planet, and their direct effects on our own health. Currently, there is >180,000 shotgun metagenomes publicly available, but until recently trying to treat these data as a resource has been challenging due to its extreme size (>700 trillion base pairs).Recently we have developed a tool that can efficiently convert this base pair information into a straightforward assessment of which microorganisms are …

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Symbiosis in microbial ecosystems

Soil systems are fundamentally important to the health of our planet, but the complexity of soil microbial communities makes them particularly challenging to study. Soil systems are amongst the most diverse microbial ecosystems on Earth in terms of the number of microbial species (and strains) present within individual samples, and in the breadth of functions encoded. Beyond complexity measured by counting distinct community members, interactions between microbial species including symbiosis, parasitism or commensalism are widespread and yet barely studied.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Light, circadian rhythms and Parkinson’s disease

Up to 98% of patients with Parkinson’s Disease (PD) have non-motor symptoms (Poewe et al. Nature Rev Dis 2017, 3: 17013) and of those, circadian and sleep disorders are the most common (for review, Gros & Videnovic. 2020, Clin Geriatr Med 36: 119). These symptoms become increasingly prevalent during the course of PD and are key determinants affecting quality of life, advancement of overall disability and placement in nursing homes (Shapira et al. Nat Rev Neurosci 2017,18:435). Circadian and sleep …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences

Big data analysis to aid ecological research

We're looking for multiple students to help us answer the question: 'How can we utilise information technology to aid ecological research?'Sensor networks bring ecologists and pattern recognition researchers together to make some applications possible. These applications include assessing risks from potential bird collisions, unobtrusive observations (where the presence of humans changes some animal behaviours) and studying spatial and temporal variation in biological processes.With a significant amount of data being collected from these applications, processing and mining this data is challenging. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Computer Science

Contributions and risks of smart urban technology-driven approaches to sustainable development

The prospects of smart urban technologies range from expanding infrastructure capacity to generating new services, from reducing emissions to engaging the public, from minimising human errors to improved decision-making, and from supporting sustainable development to improving performances of commercial enterprises and cities. The most popular technologies in the context of cities include, but are not limited to, internet-of-things (IoT), autonomous vehicles (AV), Mobility-as-a-Service (MaaS), bigdata, 5G/6G, robotics, blockchain, cloud computing, 3D printing, augmented and virtual reality (AR/VR), digital twins and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Prostate cancer transcriptomics (Honours and Master of Philosophy)

At the Australian Prostate Cancer Research Centre QLD, we are interested in the cellular adaptive response processes leading to therapy resistance in advanced prostate cancer.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 large in-house repository of RNAseq data sets with publicly available studies, this project will further explore the cellular heterogeneity of prostate tumours and the plasticity of cancer cells in …

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

Human data interaction with big data visual analytics

Our research is seeking to answer the question: 'How can we support human interaction with big data?'We want to integrate the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers. These elements have the capacity to form a powerful knowledge discovery environment. This research will use datasets from the Queensland Government and the QUT Ecoacoustic research group over multiple years. Other big datasets, such as Amazon’s product review dataset, could also be …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science

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