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RNA-Seq Analysis with R Bioconductor (2-part Series) Online

Workshop Overview

This workshop is intended for individuals who are already comfortable with R programming and who are interested in learning to use R for standard RNA-Seq analyses. We will take you through a complete RNA-Seq workflow using R Bioconductor packages.

Learning Objectives

By the end of the workshop, participants should be able to:
  • Estimate gene expression levels based on raw RNA-Seq read data
  • Filter and normalize gene expression data
  • Perform unsupervised clustering of expression data
  • Perform differential expression analysis
  • Perform gene set enrichment analyses (GSEA)
  • Create common visualizations of results (heatmaps, etc.)


You must have some R programming experience and a basic understanding of the purpose of RNA-Seq analysis to benefit from this course. Feel free to contact the instructor (see below) if you have questions about these requirements.


Please have the latest versions of R and R Bioconductor installed on your laptop prior to the workshop. RStudio (the free version) is highly recommended as well, since we will be teaching in this environment.


Workshop materials are available online here.


Karla Lindquist, PhD, is the Scientific Lead for the UCSF Library's Data Science Initiative.

School of Medicine's Zoom Guide for Participants.

Related LibGuide: Bioinformatics and Statistics Resources by Ariel Deardorff

Dates & Times:
11:00am - 1:00pm, Thursday, Sep 22 2022
11:00am - 1:00pm, Friday, Sep 23 2022
Time Zone:
Pacific Time - US & Canada (change)
This is an online event. Event URL will be sent via registration email.
  Data Science > Bioinformatics and Statistics     Data Science     Data Science > Programming  
Registration has closed. (This event has to be booked as part of a series)

Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist