Elucidating the genetic basis of newly evolved metabolic functions in yeast. Elucidating the genetic basis of newly evolved metabolic functions in yeast. This project intends to research how complex metabolic pathways originate and evolve. This project will use cutting edge genome sequencing and molecular techniques to elucidate the heritable genetic basis of Baker’s yeast, which has been the selectively evolved to use xylose as a sole carbon source: something vital for second generation biofuel ....Elucidating the genetic basis of newly evolved metabolic functions in yeast. Elucidating the genetic basis of newly evolved metabolic functions in yeast. This project intends to research how complex metabolic pathways originate and evolve. This project will use cutting edge genome sequencing and molecular techniques to elucidate the heritable genetic basis of Baker’s yeast, which has been the selectively evolved to use xylose as a sole carbon source: something vital for second generation biofuel production that wild yeast cannot do. This project will combine detailed molecular characterisation of highly adapted yeast strains with a novel "molecular palaeontology" approach to trace the evolutionary process and identify functionally significant loci under selection. Detailed characterisation of this trait will accelerate the development of future yeast strains and test fundamental evolutionary theories.Read moreRead less
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Understanding the koala microbiome: unlocking the secrets of koala health and dietary specialisation, and successful husbandry and translocation. This project aims to discover how the composition and function of koala gastrointestinal microbial communities differ in space and time in response to the varying nutritional quality and chemical composition of koala diets. Using detailed chemical analysis, cutting edge metagenomic and bioinformatic pipelines and powerful approaches to study enzyme fun ....Understanding the koala microbiome: unlocking the secrets of koala health and dietary specialisation, and successful husbandry and translocation. This project aims to discover how the composition and function of koala gastrointestinal microbial communities differ in space and time in response to the varying nutritional quality and chemical composition of koala diets. Using detailed chemical analysis, cutting edge metagenomic and bioinformatic pipelines and powerful approaches to study enzyme functions in the koala’s gut, the investigators aims to reveal the role of microbes in detoxification of plant toxins and degradation of recalcitrant fibre fractions. The outcomes aim to facilitate the use of faecal transplants to improve digestive function for translocated and rehabilitated koalas, enhancing options for koala management and conservation.Read moreRead less
Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply ....Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis. Read moreRead less