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

September 22 @ 11:00 am - 1:00 pm

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.)

Prerequisites

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.

Software

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.

Materials

Workshop materials are available online here.

Please note that this is a 2 part series. Part 2 takes place on September 23 @ 11am-1pm.

Register HERE 

 

Instructor

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

School of Medicine’s Zoom Guide for Participants.

 

Details

Date:
September 22
Time:
11:00 am - 1:00 pm
Website:
https://calendars.library.ucsf.edu/event/9354497

Venue

Zoom Only
United States