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Grant Award View - GA2377
An efficient approach to the computation of bacterial evolutionary...
GA ID:
GA2377
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Publish Date:
20-Feb-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-May-2018 to 30-Jun-2022
Original: 1-Jan-2018 to 31-Dec-2020
Value (AUD):
$338,178.00
(GST inclusive where applicable)
Variations:
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Discovery
Grant Program:
Discovery Projects
Grant Activity:
An efficient approach to the computation of bacterial evolutionary distance
Purpose:
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.
Internal Reference ID:
DP18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Tasmania
Recipient ABN:
30 764 374 782
Grant Recipient Location
Suburb:
SANDY BAY
Town/City:
SANDY BAY
Postcode:
7005
State/Territory:
TAS
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
TAS
Postcode:
7005
Country:
AUSTRALIA