Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP180102215
Funding Status
Closed
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Funded Activity Summary
An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will rectify this situation by using representation theory to transform combinatorial group theory into linear algebra, allowing for the application of advanced methods of numeric approximation. This will provide a better understanding of how bacteria evolve and improve our ability to manage their impact.Funded Activity Details
Start Date: 05-2018
End Date: 06-2022
Funding Scheme: Discovery Projects
Funding Amount: $338,178.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Biological Mathematics | Group Theory and Generalisations | Applied Mathematics | Stochastic Analysis and Modelling |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Mathematical Sciences
