Bioinformatics
We help Burnet's researchers get the best from data with training, consultation and analysis, accelerating the development of therapies and evidence-based recommendations across the Institute.
Group heads
About this group
We help Burnet's researchers extract meaningful results from their data. We provide training, consultation and data analysis services. We also conduct meta-research to improve the reliability of bioinformatics.
Advances in genomic sequencing and other ’omics means researchers must be skilled in working with large datasets to extract the best results.
Our main aim is to enhance Burnet’s data analytics capacity. We achieve this through:
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one-on-one training sessions, workshops and provision of learning materials
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working directly with other working groups at the institute
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providing consultation and conducting data analysis.
We’re developing data resources and software tools to help researchers extract usable information from their raw data sets.
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. This data is used to understand the effect of mutations, trace disease outbreaks, and how genes are switched on and off.
We also focus on research reliability, involving systematic assessments of published research works to understand whether they are reproducible and have used validated methods.
Current projects
View 3 more
Getting to the heart of cardiovascular disease in viral infections
This project aims to understand the mechanisms of how viral infections can potentiate the development of CVD, with a particular focus on the role monocytes may play in this process.
Antimicrobial and immune modulatory effects of vaginal microbiota metabolites
We aim to determine the role of microbiota metabolites in inactivating HIV and other sexually transmitted infections and their effects on cells of the female reproductive tract.
A novel gel for targeting vaginal inflammation to prevent HIV transmission
We have discovered that optimal vaginal Lactobacillus spp. make a product that has direct anti-inflammatory effects on cervicovaginal epithelial cells that could help prevent HIV.
Featured publications
Direction-aware functional class scoring enrichment analysis of infinium DNA methylation data
Epigenetics
Mark Ziemann et al
Two subtle problems with over-representation analysis
Bioinformatics Advances
Mark Ziemann, Barry Schroeter, Anusuiya Bora
The five pillars of computational reproducibility: bioinformatics and beyond
Briefings in Bioinformatics
Mark Ziemann, Pierre Poulain, Anusuiya Bora
Group contacts
Group members
Anusuiya Bora
PhD Candidate
