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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
- 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.
Instructor
Karla Lindquist, PhD, is the Scientific Lead for the UCSF Library's Data Science Initiative.
School of Medicine's Zoom Guide for Participants.
- Dates & Times:
- 3:00pm - 5:00pm, Monday, Jul 26 2021
3:00pm - 5:00pm, Tuesday, Jul 27 2021
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data Science > Bioinformatics and Statistics Data Science Data Science > Programming
