RNA-Seq with Bioconductor in R

Description

In this course, you will :

• Explore what we can do with RNA-Seq data and why it is so exciting.
• Discover the various steps and considerations involved in an RNA-Seq workflow.
• Investigate the similarity of the samples to one another and look for sample outliers.
• Use visualisations such as heatmaps and volcano plots to investigate the differential expression results.
• Review the analysis steps and summarise the DESeq2 differential expression workflow.

Syllabus :

• Introduction to RNA-Seq theory and workflow
• Exploratory data analysis
• Differential expression analysis with DESeq2
• Exploration of differential expression results