Characterising genetic variation in Brassica napus. Applying the latest scientific advances supports society through promoting a knowledge based economy, as well as through securing agricultural productivity and biomedical applications. Establishing these methods places Australia at the forefront of genomics technology with direct applications for Australian agricultural, biomedical and biotechnology industries. Maintaining agricultural production in an unreliable environment remains a national ....Characterising genetic variation in Brassica napus. Applying the latest scientific advances supports society through promoting a knowledge based economy, as well as through securing agricultural productivity and biomedical applications. Establishing these methods places Australia at the forefront of genomics technology with direct applications for Australian agricultural, biomedical and biotechnology industries. Maintaining agricultural production in an unreliable environment remains a national challenge, both for rural and urban communities. This technology will provide a detailed understanding of crop genome variation in relation to agronomic traits and lead to the development of crops that are better suited to the Australian climate, supporting a sustainable agricultural industry.Read moreRead less
Novel bioinformatics approaches for biological inference from comparative genomics data. Unlocking the potential of the human and other genome sequences depends almost entirely upon comparative genomics techniques. We will develop powerful bioinformatic models, implemented as high-performance computing solutions, for the examination of gene sequences. Improving these models, which represent the initial building block for all comparative genomics techniques, will be beneficial across genomics dep ....Novel bioinformatics approaches for biological inference from comparative genomics data. Unlocking the potential of the human and other genome sequences depends almost entirely upon comparative genomics techniques. We will develop powerful bioinformatic models, implemented as high-performance computing solutions, for the examination of gene sequences. Improving these models, which represent the initial building block for all comparative genomics techniques, will be beneficial across genomics dependent industries. A major outcome from this work will be an integrated software/hardware product optimised for statistical examination of very large-scale genomics data.Read moreRead less