Speaker 1: Jessica Mar (A/Prof, AIBN)
Title: Developing bioinformatics approaches to understand the functional consequences of gene expression variability
Abstract: When studying the transcriptome, most of our inferences revolve around changes in average expression. However, more recent examples have demonstrated that analysis of the variability of gene expression can also highlight important regulators too. In this talk, I outline some of the bioinformatics methods my lab has developed to investigate the functional consequences of gene expression variability to understand transcriptional regulation. I present a recently published method called pathVar, which provides functional interpretation of variability changes at the level of pathways and gene sets. Collectively, this series of related studies outline the value of studying gene expression variability to understand the regulation of different phenotypes.
Speaker 2: Elise Kenny (PhD, Powell group, School of Mathematics and Physics)
Title: [Cu(acac)2], an elastic crystal with exotic magnetic properties
Abstract: When studying the transcriptome, most of our inferences revolve around changes in average expression. However, more recent examples have demonstrated that analysis of the variability of gene expression can also highlight important regulators too. In this talk, I outline some of the bioinformatics methods my lab has developed to investigate the functional consequences of gene expression variability to understand transcriptional regulation. I present a recently published method called pathVar, which provides functional interpretation of variability changes at the level of pathways and gene sets. Collectively, this series of related studies outline the value of studying gene expression variability to understand the regulation of different phenotypes.