Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100114
Funder
Australian Research Council
Funding Amount
$560,000.00
Summary
High Throughput Cell Genomics Centre. High throughput cell genomics centre: This project will establish a high throughput cell genomics centre comprising a Fluidigm C1™ Single-Cell AutoPrep and BioMark™ HD system providing researchers with the most innovative approach to single cell and small population analyses. The instruments will enable the unique capability to conduct single cell transcriptome analysis and high throughput gene expression, SNP genotyping and copy number variation analysis as ....High Throughput Cell Genomics Centre. High throughput cell genomics centre: This project will establish a high throughput cell genomics centre comprising a Fluidigm C1™ Single-Cell AutoPrep and BioMark™ HD system providing researchers with the most innovative approach to single cell and small population analyses. The instruments will enable the unique capability to conduct single cell transcriptome analysis and high throughput gene expression, SNP genotyping and copy number variation analysis as well as validation of next generation sequencing data. The information generated is crucial to advancing knowledge in important research fields including infection and immunity, regenerative medicine, immune responses, biomarker discovery, drug discovery, biotechnology and agriculture.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