Life science and public health are becoming more data-driven disciplines. Advances in genomic sequencing and other ‘omics means researchers need to be skilled in working with large datasets to extract meaningful results.
Our group's main aim is to enhance the data analytics capacity of the Institute. We achieve this through:
- one-on-one training sessions, workshops and provision of learning materials
- working directly with other working groups at the institute
- providing consultation and conducting data analysis.
We are developing data resources and software tools to help researchers extract usable information from their raw data sets.
Our group are also conducting meta-research to improve the reliability of bioinformatics.
Our group is skilled in analysing DNA sequencing data. This data is used to understand the effect of mutations, trace disease outbreaks, and how genes are switched on and off.
We specialise in integrating complex data types, including protein expression, epigenetics and metabolic datasets. We provide data analytics skills and expertise to many working groups across Burnet.
Our work on research reliability involves systematic assessments of published research works to understand whether they are reproducible and have used validated methods.
Our work helps accelerate the development of therapies and evidence-based recommendations across the institute.
Working
Group
Meet the working group. Together, we are translating research into better health, for all.
