Developing methods for the analysis of massively parallel sequencing data in family studies. This project will develop analytical methods to use the latest, high-throughput method of generating sequencing data, i.e. the letters of the human genome alphabet. These tools will be used to identify the causal mutations in families with inherited disorders, leading to diagnostic tests for these families.
Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding ....Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding genome regulates the expression of protein coding genes. Expected Outcomes and Benefits: This proposal will provide novel targets and methodology for gene modulation with broad applications from biology to environmental sciences.Read moreRead less
Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pa ....Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pathogenic behaviour and biomass production.Read moreRead less