Introduction to Bulk RNA-Seq Data Analysis (Part II)

Course Details

Course Objective

Introduce statistical methods and considerations utilized to perform differential gene expression analysis on bulk RNA-seq data; Best practices for quality control, how to use DESeq2; review tools for functional analysis of DE genes and how to extract some biological meaning from large gene lists.

Suggested Course Prerequisite

Introduction to R


HSPH Bioinformatics Core

Target Audience

Researchers who need to perform differential expression analysis at the gene-level using R, statistical analysis for assessing count data and visualize expression patterns

Course Duration

Four, 2 hour sessions & self learning between sessions.

Course Schedule

May 6, 2022, 10:00 am to 12:00 pm

May 10, 2022, 10:00 am to 12:00 pm

May 13, 2022, 10:00 am to 12:00 pm

May 17, 2022, 10:00 am to 12:00 pm