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Found 4 matching student topics

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Visualisation of Text Analytics

Natural language is complex to analyse and the results of the analysis are often difficult to convey in a meaningful way. One approach is to convey resultant analytics in the context of the original text by visually annotating the text. This project will suit someone with an interest in visual style who also possesses basic programming skills.

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Visualisation of CRISPR targets

CRISPR-Cas9 technology allows us to modify virtually any gene in any organism of interest. It has generated a lot of interest, both in the research community and the general population.One of the crucial components of CRISPR experiments is the design of the “guide RNAs” that will control where modifications occur.We have developed a software pipeline, named Crackling, to identify safe and effective guide RNAs across entire genomes. We're now seeking to develop a visualisation to communicate the results produced by …

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Computer Science

Recreating porous geometries from micro CT scan data

The aim of this research is to determine the virtual morphology of a heterogeneous porous medium from a micro computed tomography (micro-CT) scanner dataset.We'll use the 3D imaging facilities at QUT's Institute of Future Environments (IFE) for data capture.

Study level
Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Illuminating the microbial world using genome-based fluorescence microscopy

Our understanding of microbial diversity on Earth has been fundamentally changed by metagenomic characterisation of natural ecosystems. Traditional approaches for visualising microbial communities are time-consuming and provide limited information about the identity of specific microorganisms.The proposed research aims to combine single cell genomics and super resolution microscopy for novel, high-throughput, genome-based techniques to visualise microorganisms, plasmids and viruses, with strain level specificity. The application of these highly scalable approaches will provide comprehensive and unprecedented insight into the fine-scale dynamics and …

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

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