How we support researchers to utilise bioinformatics
In the Bioinformatics Core Research Group, we specialise in using technology and expertise to handle and analyse complex biological data. Using the fundamental principles of open, rigorous, collaborative and scholarly science, we support researchers to analyse large sets of biological data, assisting in the design of experiments to provide the most effective data analysis at the end of the project. We also offer data management support to optimise and automate routine tasks. We strive to enable researchers so that in the future they will be able to view and process their data themselves, through appropriate training, bioinformatic support and infrastructure.
Our research capabilities
We are passionate about collaborative, interdisciplinary research, bringing together expertise from two faculties and multiple research teams to solve complex problems. We establish and nurture strategic partnerships with research groups and external collaborations. We also promote graduate and undergraduate education in bioinformatics and computational biology at Deakin University.
We specialise in:
- experimental design
- next generation sequencing design and analysis
- whole genome alignment
- gene expression studies (RNAseq, ncRNA, epigenetics, protein)
- machine learning applications
- python and R programming
- bioinformatics training.
Help develop an understanding of complex biological systems
Interested in a research degree in bioinformatics or computational biology so you can make a difference to how we manage health and the environment?
Our researchers
The Bioinformatics Core Research Group brings together experts in bioinformatics with the resources and skills to support and train others.
Associate Professor Tamsyn Crowley is the director of the Bioinformatics Core Research Group, a senior lecturer in pharmacology and therapeutic development in the School of Medicine and a member of the Institute of Mental and Physical Health and Clinical Translation.
Dr Mark Richardson is a researcher in the School of Medicine within the Faculty of Health, focused on the genetic and genomic analysis of contemporary population dynamics. He uses bioinformatics and high-throughput sequencing approaches to examine the link between the genome and the expressed phenotype.
Our facilities
We use a high-performance computer cluster with more than 740 CPUs and 5 Tb of RAM. We also have access to Melbourne Bioinformatics computational infrastructure.
Contact us
If you would like to learn more about the group or our research, please get in touch.