Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying ....Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying regulators of lipid metabolism. The large diversity in humans necessitate sufficient sample sizes to identify true genetic regulators, but to date techniques capturing phenotypic data (lipids) have been largely limited. It is anticipated that this study will identify new regulators of lipid metabolism in humans.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100178
Funder
Australian Research Council
Funding Amount
$453,913.00
Summary
Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis meth ....Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis methods and designs for future creation of custom computer hardware for nanopore analysis. This will facilitate widespread adoption of nanopore technology in bioscience research and applied domains (health, agriculture, ecology, biosecurity and forensics), including for portable in-the-field applications. Read moreRead less