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
TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. ....TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.Read moreRead less