What We Do
We’ve developed a prototype smartphone app for collecting metadata
Connected to an online database, this app will help our researchers collect data on diseased leaf samples, opening up new avenues for improved bioinformatic crop disease research.
We’ve used imaging data to see nutrient re-distribution in diseased leaves
Using the X-Ray fluorescence microscopy (XFM) beamline at the Australian Synchrotron facility in Melbourne, we’ve created high-resolution nutrient mapping of infected leaves - the first reported use of this instrument to study the physiological impacts of plant diseases.
We develop data-driven solutions for major wheat pathogens
We’ve generated genetic data for more than 150 new isolates of the wheat pathogen Septoria Nodorum Blotch (SNB), and have developed software for the improved prediction of important disease-causing fungal genes (effectors).
Our Current Projects
Effector and co-infection biology
Our specialist team of bioinformaticians drives cutting-edge plant pathogen genomics research and works collaboratively across our core research themes developing data-driven solutions for fast tracking genetic analysis and to develop more effective predictive tools to understand fungal disease.
DataHarvest
DataHarvest is a national project that focuses on improving the way research, development and extension (RD&E) data is managed in the grains industry. The project is co-funded by the
GRDC and Curtin University. Its primary objective is to ensure that all RD&E data generated from GRDC investments are collected and stored in a way that makes them easy to find, access and reuse, accelerating new research outcomes with improved efficiency and less duplication.
