Evolutionary models and bioinformatic analyses of genetic variation in pathogens. The benefits of this project are better preparedness for the ever-present threat of infectious disease spread and the stimulation of bioinformatic research in Australia. Epidemics such as the Influenza Pandemic of 1918, which killed over 20 million people, highlight the need to understand and track pathogens that can potentially cause such devastation. Along with the development of molecular technologies, it is imp ....Evolutionary models and bioinformatic analyses of genetic variation in pathogens. The benefits of this project are better preparedness for the ever-present threat of infectious disease spread and the stimulation of bioinformatic research in Australia. Epidemics such as the Influenza Pandemic of 1918, which killed over 20 million people, highlight the need to understand and track pathogens that can potentially cause such devastation. Along with the development of molecular technologies, it is important to maintain active creation of analytical methods that appropriately apply to growing databases. These include methods to understand genetic variation in pathogens. This project will help to keep Australia at the forefront of research in theoretical biology.Read moreRead less
Pattern Recognition and Interpretation in Sequence Data. With the recent advances in sequencing technology, the amount of biological sequence data available has increased tremendously. Extraction of knowledge from such data has lagged behind, awaiting the development of new automated methods for extracting meaning from the sequences. This project aims to develop fast and flexible algorithms for discovery of patterns in DNA and protein sequence data and to find families of sequences that share si ....Pattern Recognition and Interpretation in Sequence Data. With the recent advances in sequencing technology, the amount of biological sequence data available has increased tremendously. Extraction of knowledge from such data has lagged behind, awaiting the development of new automated methods for extracting meaning from the sequences. This project aims to develop fast and flexible algorithms for discovery of patterns in DNA and protein sequence data and to find families of sequences that share similar patterns. Association of these patterns with features of 3-dimensional structures of protein families and their functional characteristics can contribute towards the understanding of the relationship between primary structure and function of a protein.Read moreRead less