Abstract: The R statistical programming language is used extensively across a broad spectrum of informatic domains; my area of expertise (see https://bioconductor.org) is the analysis and comprehension of high-throughput genomic data. This workshop takes a quickly-paced, high-level tour of R in data analysis. We'll start with the very basics, but move on to data representation, transformation and visualization. The workshop will be interesting to new and experienced R practitioner, as well as to data scientists exploring the diversity of approaches to modern interactive analysis. We'll have hands-on activities that are both challenging and rewarding. Additional material will be available at https://goo.gl/zcsUz7 shortly before the session.
Biography: Dr. Martin Morgan has been working with R for the last 10 years or so; he currently leads the successful and widely used open-source R / Bioconductor project for the analysis and comprehension of high throughput genomic data. Dr. Morgan grew up in Toronto, earned a PhD in Ecology and Evolution from the University of Chicago, and gradually shifted his focus to computational and statistical aspects of biology. Dr. Morgan recently moved to Buffalo as an associate professor at Roswell Park Cancer Institute. Martin.Morgan@RoswellPark.org