Syllabus

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 rbi.fellows@ucdenver.edu to let us know you’re coming.

Instructor

Jay Hesselberth (jay.hesselberth@gmail.com)

Co-instructors

Austin Gillen (austin.gillen@ucdenver.edu)

Kent Riemondy (kent.riemondy@ucdenver.edu)

Rui Fu (rui.fu@ucdenver.edu)

Course marks

See Grading and Assignments.

Installation

You can install the course package from github with:

# install.packages("devtools")
devtools::install_github("idpt7810/practical-data-analysis")