Development of population-level algorithms for modelling genomic variation and its impact on cellular function in animals and plants

Abstract:: I will develop mathematical and computational tools to identify genetic and epigenetic variation from high-throughput sequence (HTS) data on populations of animal or plant species, as well as resolve the haplotype and parent-of-origin inheritance patterns of these variants. I will apply these tools to unravel the effect of genomic variation on biological networks and ultimately phenotype. The outcome of this fellowship will be both a set of tools for population genomics, as well as a deeper understanding of how genomic variation affects phenotype. This will be one of the first applications of integrated multi-level population modelling to HTS data, and, as such, will lead to a new level of understanding of cell physiology.
Grant type:: ARC Future Fellowships
Funded by:: Australian Research Council

The University of Queensland