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Single Cell RNA-Seq Analysis with R Bioconductor (2-Part Series) Online


In this workshop, we will demonstrate how to process and analyze single cell RNA-seq data using R Bioconductor packages, focusing primarily on seurat. It is intended for those with intermediate R programming skills who are familiar with the biological concepts of single cell RNA-seq.

Learning Objectives

  • Load and inspect scRNA-seq data with R and Seurat
  • Understand the fundamental steps of preprocessing and quality control
  • Prepare data for analysis by normalizing, scaling and filtering data  
  • Identify principal components that identify variability and perform non-linear dimension reduction (UMAP and tSNE)
  • Categorize cell types through clustering and visualize results 

Prerequisites / Preparation

To benefit from this workshop, you should at minimum be comfortable with the materials covered in our Introduction to R Programming or Software Carpentry workshops.

In addition, you will need to install the software and R packages required prior to the workshop, as described below.


Please install the following software on your laptop prior to the workshop.

We will send specific package installation instructions by email about a week in advance of the workshop.


Workshop materials will be available online by the time of the workshop here.


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

Related LibGuide: Bioinformatics and Statistics Resources by Karla Lindquist

Dates & Times:
11:00am - 1:00pm, Thursday, Oct 20 2022
11:00am - 1:00pm, Friday, Oct 21 2022
Time Zone:
Pacific Time - US & Canada (change)
This is an online event. Event URL will be sent via registration email.
  Data Science Initiative > Bioinformatics and Statistics     Data Science Initiative > Programming     Data Science Initiative  

Registration is required. There are 25 seats available.

Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist