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-19
  • Start & end year

    2024
    2028
  • Known Financial Commitments (USD)

    $283,940.81
  • Funder

    National Health and Medical Research Council (NHMRC)
  • Principal Investigator

    N/A

  • Research Location

    Australia
  • Lead Research Institution

    University of Melbourne
  • Research 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.