RNA-Seq Analysis with R Bioconductor

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 instructors (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.

Instructors

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, October 3 at 1:00pm to 4:00pm

Byers Hall, BH-215
1700 4th St., San Francisco, CA

Event Type

Class/Info Session

Audience

Students, Postdocs, Faculty, Staff

Campus

Mission Bay

Tags

programming, Data Science Initiative, r, R programming, RNA-seq, bioconductor

Website

https://calendars.library.ucsf.edu/ev...

Cost

Free

Department/Group
UCSF Library
Contact Info

karla.lindquist@ucsf.edu

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Event Registration Required

This event requires registration.