In recent years group members have been awarded millions of dollars inĀ ARC Discovery and Linkage Grants and significant investment through industry sponsored research.

Click any individual project to learn more. View active, proposed and completed projects.

Natural diagram and table interfaces to graph and semi-structured databases

Modern small and medium businesses need simpler, more intuitive ways to store, query and analyse their data. This project will develop visual tools that provide a natural and intuitive interface for the innovative, flexible database being developed by the Australian software developer YesLogic.

Reimagining digital publishing for technical documents

Digital versions of technical documents are usually produced as static PDF files. Working with these on electronic devices has been shown to be frustrating and inefficient. This project reimagines digital publishing for technical documents and proposes reading via a new dynamic view with flexible navigation and on-demand contextual information.

Comparative network visualisation

Statistical analysis of large-scale genome-wide biological datasets frequently results in predictions of large networks that are difficult to interpret or to effectively compare. We are investigating how plants respond to the environment, and the gene regulatory networks underlying these responses, with the aim of developing crops with increased tolerance to unfavourable environments. We have extensive time series gene expression profiles, gene regulatory network models and experimental validation data for multiple environmental stress conditions.

Visualising and predicting pathogen/host protein interactions

Pathogens suppress host immunity by targeting a range of secreted proteins, pathogenicity effectors, to the cytoplasm of host cells. These effectors, once they have traversed the host plasma-membrane, are targeted to many subcellular locations where they disrupt the host immune system to enable pathogen growth and reproduction. We have used the technique of matrix yeast two hybrid to identify the host targets of 200 pathogenicity effectors. This has revealed a complex and highly interconnected interaction network.