Project: Bacterial pan-genome graphs for variant discovery and RNAseq for drug resistance prediction
Coin Group
This project aims to construct comprehensive bacterial pan-genome graphs to facilitate variant discovery and RNA-seq analysis. By integrating diverse genomic data from multiple bacterial strains, we will develop a unified pan-genome representation that captures the full genetic diversity of the species. Leveraging the pan-genome graph for RNA-seq analysis will enhance our understanding of gene expression and regulation in different bacterial genetic backgrounds. This project holds the potential to uncover novel insights into bacterial adaptation, virulence, and antibiotic resistance mechanisms.
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Coin Group
3 vacancies
The Coin group applies genomic sequencing to characterise and understand the dynamics of human and bacterial genomics and transcriptomics. We utilise long-read, real-time sequencing for detection and characterization of bacterial pathogens direct from samples, and are leaders in the development of host immune response biomarkers for detection of bacterial and viral infections.We develop and use algorithmic approaches for analysis of high throughput sequence data.
Coin Group Current Projects
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Bacterial pan-genome graphs for variant discovery and RNAseq for drug resistance prediction
PhD/MPhil
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Developing Generative Artificial Intelligence for designing RNA
PhD/MPhil, Honours
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Understanding the transcriptomic dynamics that govern the infective process of Mycobacterium tuberculosis
PhD/MPhil
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Development and optimisation of methods for direct-sample capture of bacterial pathogens for long-read sequencing
PhD/MPhil
Research degrees at the Doherty Institute are administered by the University of Melbourne.