RNA-seq and Differential Expression

Overview

Instructor: Wesley Brashear

Time: Friday, October 18, 2024 — 10:00AM-12:30PM CT

Location: Blocker 220

Prerequisites: Active HPRC account

This short course covers concepts of RNA-seq data analysis for differential expression, including Quality Control, reference-based read alignment, utilization of DESeq2, and data visualization in R.

Course Materials

  • RNA-seq and Differential Expression (Fall 2024): PDF

Previous Semester Materials

  • RNA-seq and Differential Expression (Spring 2024): PDF
  • RNA-seq and Differential Expression (Fall 2022): PDF

Learning Objectives and Agenda

In this course, participants will:

  • Learn technical considerations that need to be addressed when designing an RNA-seq experiment
  • Learn how to conduct quality control assessments of RNA-seq libraries
  • Learn how to align RNA-seq libraries to a reference genome
  • Learn how to conduct differential expression analysis and data visualization in R

This course focuses, among others, on the following topics:

  • RNA-seq library preparation methods
  • Experimental design
  • Transcriptome assembly overview
  • Quality Control/Library trimming
  • Aligning RNA-seq libraries to a reference genome
  • Generating count files
  • Differential expression in R