Workshop Description

R ( 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 (, 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.

Day 1

Basic R

  • Introduction to R and RStudio
  • Basic arithmetic and math
  • Common data structures such as: vectors, matrices, and data frames

Slides for day 1 can be found here.

Day 2

Intermediate R

  • List data structures
  • Reading/writing data frames
  • Conditional statements
  • Loop statements
  • Functions

Slides for day 2 can be found here.

Day 3


  • How to install Bioconductor packages
  • Differential gene expression with edgeR
  • Plotting basics

Slides for day 3, can be found here.

Technical Requirements


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.




This course was perfect for my level (never used R before).

Fall 2018 Student

I had some familiarity with R, but the use of boolean functions was new very useful to me. This is exactly what I was hoping for, i.e. learn some new ‘R tricks’, thank you for the excellent course and keep up the great work!

Fall 2018 Student

Excellent workshop! I attended other R workshops in the past, but this was by far the clearest and most useful. Well done!

Winter 2018 Student

This is one of the best instructional seminars I have attended at UCLA – bravo to the instructor!

Winter 2018 Student

Really clear, nicely paced, and provided a really supportive environment in which to ask questions. Would definitely recommend.

Spring 2018 Student

Class was very well organized and the instructors were amazing!

Spring 2018 Student

Workshop Details

Prerequisites: None
Length: 3 days, 2.5 hrs per day
Level: Introductory
Location: Collaboratory Classroom  (Boyer Hall, 529)
Seats Available: 28

Winter 2019 Dates

January 22, 23, and 24, 2019
9:00 AM – 12:00 PM