This short course teaches you to analyze and visualize large, complex biological data sets use the R statistical programming language, RStudio, and new tools available in the “tidyverse”. We use common biological experiments to illustrate analysis strategies including studies of mRNA expression, histone post-translational modification in the context of chromatin, and cell-type characterization using single cell approaches.

Course number

IDPT 7810 006

Dates and Times

The course (2 credit hours) consists of 13 2 hour classes held Mon through Fri from Nov 28 through Dec 14 in P28-1202 (P28-2301 on Dec 6, 7, and 12) from 1:00-3:00 pm. Building P28 is Education 2 North.

We have dedicated office hours on Thurs from 2:30-4pm in RC1 South 9th floor in the main office (behind the glass walls). Come with questions, problems, etc. Please send an email to to let us know you’re coming.


Jay Hesselberth (


Austin Gillen (

Kent Riemondy (

Rui Fu (

Course marks

See Grading and Assignments.


You can install the course package from github with:

# install.packages("devtools")