Genomic tools for rapid diagnosis of bacterial infection using host and bacterial biomarkers
Professor Lachlan Coin
One of the major reasons for delay in diagnosis of infectious disease as well as the identification of antibiotic drug resistance is the time taken to culture and isolate the bacteria. To address this problem, we are developing a culture-free long-read sequencing meta-genomics pipeline for profiling clinical samples. We couple techniques for isolating bacteria direct from clinical sample with portable, real-time sequencing and streaming bioinformatics.
Coin Laboratory: Cancer Bioinformatics
Faculty Research Themes
Cancer, Infection and Immunology
School Research Themes
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