W3: Intro to R

R (www.r-project.org) is a free software environment for statistical computing and graphics. First, this workshop introduces basic concepts, syntax, and usage in R programming, statistical analysis, and visualization techniques. We will conduct hands-on tutorials throughout the session, giving attendees a chance to see R in action.

This workshop is geared toward those with little or no prior experience with R. Next, this workshop covers an introduction to Bioconductor (www.bioconductor.org), which provides tools for the analysis of high throughput genomic data. If you are interested in any particular R/Bioconductor topic, please contact the instructor in advance; effort will be made to cover topics of general interest.

• R: https://cran.r-project.org/mirrors.html
• R Studio: https://www.rstudio.com/
• We strongly encourage attendees to bring a laptop capable of accessing UCLA’s WiFi.

Dr. Rob Brown is a post-doctoral researcher working with Sriram Sankararaman and Eleazar Eskin. He completed is BA in astrophysics from Columbia University and his Ph.D. in bioinformatics from UCLA while advised by Bogdan Pasaniuc. As a graduate student, he developed new methods for finding non-linear genetic associations with phenotypes. His current post-doctoral work has two main focuses. The first is to develop surgery outcome predictors using the electronic health records and genotype data from individuals in the UC system. Second, he is interested in understanding how interactions between deleterious coding and regulatory variation shape the genetic architectures and association signals for complex phenotypes.

Email: rpb2103@ucla.edu

Website: http://www.robertpaulbrown.com/