Scalable genotype to phenotype prediction for pathogen tracking and diagnostics
- Funded by National Health and Medical Research Council (NHMRC)
- Total publications:0 publications
Grant number: GA352324
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Key facts
Disease
COVID-19Start & end year
20242028Known Financial Commitments (USD)
$283,940.81Funder
National Health and Medical Research Council (NHMRC)Principal Investigator
N/A
Research Location
AustraliaLead Research Institution
University of MelbourneResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Pathogen genomics, mutations and adaptations
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Genomics plays a critical role in tracking the transmission of pathogens and in the prediction of drug resistance and virulence. This project will develop computational and statistical methods which can automatically adapt as pathogens evolve to help public health officials and clinicians make optimal decisions. The tools will apply to a wide range of pathogen species including antibiotic-resistant bacteria and viruses such as SARS-CoV-2.