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RNA-Seq Analysis with R Bioconductor In-Person

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 instructors (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.


Angelo Pelonero is an Instructional Designer with the UCSF Library Data Science Initiative and the Bakar Computational Health Sciences Institute.

Karla Lindquist is the Scientific Lead of the UCSF Library Data Science Initiative.

Thursday, Oct 3 2019
1:00pm - 4:00pm
Time Zone:
Pacific Time - US & Canada (change)
Mission Bay
  Data Science Initiative > Bioinformatics and Statistics     Data Science Initiative     Data Science Initiative > Programming  
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Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist