Introduction to Bulk RNA-Seq Data Analysis (Part II)
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
Researchers who need to perform differential expression analysis at the gene-level using R, statistical analysis for assessing count data and visualize expression patterns
Four, 2 hour sessions & self learning between sessions.
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