Probing the Tasmanian Devil Serum Proteome for Preclinical Diagnosis of Devil Facial Tumour Disease. The Tasmanian Devil (Sarcophilus harrisii) is a carnivorous marsupial endemic to the island state of Tasmania, and is found all over the state. Over the past decade, a dramatic decline has occurred in the Devil population in association with the emergence of Devil Facial Tumour Disease (DFTD). This project aims to develop a preclinical diagnostic test for DFTD that will provide vital information ....Probing the Tasmanian Devil Serum Proteome for Preclinical Diagnosis of Devil Facial Tumour Disease. The Tasmanian Devil (Sarcophilus harrisii) is a carnivorous marsupial endemic to the island state of Tasmania, and is found all over the state. Over the past decade, a dramatic decline has occurred in the Devil population in association with the emergence of Devil Facial Tumour Disease (DFTD). This project aims to develop a preclinical diagnostic test for DFTD that will provide vital information for use in developing management strategies to ensure the ongoing survival of the Tasmanian Devil. The benefit to Australia in performing this research rests in the new technology that will be developed and the application of this technology to key areas of national and international significance.Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less