This in-person, hands-on workshop is appropriate for students, staff, fellows and faculty working with high throughput transcriptomic data. This is the first part of a two-workshop series. Attendance at this session, or instructor permission, is required before taking RNA-Seq Analysis Part2. In this session you will learn the basics of high throughput RNA sequencing, including how to check the quality of your RNA-Seq reads, how to determine if reads contain adaptor sequences, and if so, how to identify and remove the adaptor sequence from raw RNA-Seq data. We will discuss all the basic points in detail. At the end of the workshop, you will learn how to connect to Rivanna and run an RNA-Seq pipeline (mapping and gene quantitation) on Rivanna or on your own system.
This in-person, hands-on workshop is appropriate for students, staff, fellows and faculty working with transcriptomics data. This is the second part of a two-workshop series. Attendance at RNA-Seq Analysis Part1, or instructor permission, is required before taking this session. In this session you will learn how to quantitate gene expression (making count table), learn the logic behind the read COUNTS, FPKM, TPM, and understand how to do differential gene expression analysis. The primary focus will be on the hands-on analysis of differential gene expression with RNA-Seq data using RStudio, and specialized packages like DESeq. You will also learn how to make a PCA plot, MA plot, Volcano plot and heatmap.
