Using ‘omic and digital technologies toward better fasciolosis control. In Australia, liver fluke disease caused by Fasciola hepatica causes major economic losses to livestock production. Triclabendazole is the most effective drug for parasite control, however, resistance to this drug has emerged and continues to spread in Australia. This project expects to create a novel resource to identify new drug targets, generate new knowledge about the genetic composition of F. hepatica populations and un ....Using ‘omic and digital technologies toward better fasciolosis control. In Australia, liver fluke disease caused by Fasciola hepatica causes major economic losses to livestock production. Triclabendazole is the most effective drug for parasite control, however, resistance to this drug has emerged and continues to spread in Australia. This project expects to create a novel resource to identify new drug targets, generate new knowledge about the genetic composition of F. hepatica populations and unravel the genetic determinants underlying triclabendazole resistance. The curation of functionally-annotated genetic data for F. hepatica populations will underpin the development of diagnostic tests, drugs and vaccines to deliver a new generation of intervention strategies to control liver fluke disease.Read moreRead less
TSuNAMi: Time Series Network Animal Modelling. Our proposal is motivated by and based upon the successful representation of time series as a network (or graph). We construct an abstract representation of a system from measurements of its changing behaviour over time. Properties of that structure (the network) then allow us to infer diagnostic information of the system. Specifically, we propose to apply this to livestock welfare during transport. By measuring the biological and environment condi ....TSuNAMi: Time Series Network Animal Modelling. Our proposal is motivated by and based upon the successful representation of time series as a network (or graph). We construct an abstract representation of a system from measurements of its changing behaviour over time. Properties of that structure (the network) then allow us to infer diagnostic information of the system. Specifically, we propose to apply this to livestock welfare during transport. By measuring the biological and environment condition of the animal we construct a network representation of that system. Geometric features of that network can then be used to infer health or duress of the subject. This proposal will develop the generic mathematical machinery to connect geometric features of the network with system behaviour. Read moreRead less