Using R for High-Throughput (Genomic) Analysis
- CDSE Days: https://www.buffalo.edu/cdse/cdse-days/WorkshopVIII.html
- Date: 29 March 2016, 9am
- Bring: a laptop with wireless & modern browser
- More: vignette
R is a very popular open-source statistical programming language, with lots of interesting features and challenging quirks. R is used in many aspects of data analysis, by people ranging from students in small academic groups to professional engineers in the largest social media companies. This tutorial takes us from the basics of R to advanced features that are particularly interesting to scientists and engineers. We'll talk about 'atomic' vectors, functional and vectorized computations, R's unique class systems, visualization, extending R to process large data, and literate programming. A lot of material for a couple of hours, but it'll be fun.
About
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.