Workshop: RNAseq via GVL+ degust demo


RNA-seq has supplanted the microarray as the primary technology for transcriptome-wide analysis of gene expression, however an extensive bioinformatics analysis of the RNA-seq data is required to obtain useful information. Galaxy is a web-based interface that enables users to chain together bioinformatics tools into analysis pipelines without use of the command-line, while preserving many of the advantages of a command-line interface such as flexibility, reproducibility, and outsourcing of computationally intensive processes. Here we will go through the steps required to obtain gene expression information, starting from raw data from a simple RNA-seq experiment, using Galaxy. We will then apply the online Degust tool for statistical analysis of differential gene expression.

RNAseq via GVL+ degust demo


Dr Stuart Archer, Monash Bioinfomatics

Stuart Archer comes from an RNA biology background and learnt to run bioinformatics analyses mostly to analyse his own data during his postdoctoral studies. He conducted his first RNA-seq experiment in Heidelberg in 2008, to investigate the cell cycle in on parasitic protozoans, and later back in Australia developed RIP-seq and ribosomal footprinting experimental protocols for yeast, also developing the bioinformatics analysis strategies for these experiments. He joined the Monash Bioinformatics pipeline in 2014 and has since developed custom bioinformatics analyses with biologists conducting a wide range of data-rich experiments, including many RNA-seq experiments

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