RNA-Seq Part II

Studying the transcriptome.


RNA-Seq allows to study the transcriptoe of organisms. Several applications of RNA-Seq include measuring expression levels of genes, gene annotation or the interrogation of the gene space as a complexity. This course teaches to process RNA Seq data from receiving raw sequence files to getting expression values for genes.

Next session: December 2019

Instructors

  • Burkhard Steuernagel

Audience

Any Staff or Student who has an interest in bioinformatics and intends to conduct RNA-Seq analysis.

Overview

RNA-Seq allows to study the transcriptoe of organisms. Several applications of RNA-Seq include measuring expression levels of genes, gene annotation or the interrogation of the gene space as a complexity. This course teaches to process RNA Seq data from receiving raw sequence files to getting expression values for genes.

Schedule

Day1
09:30 Introduction to Linux
10:30 Design of RNA Seq experiments
11:30 Aligning RNA Seq reads to a genomic reference
13:00 Expression values
14:00 A de novo transcriptome assembly using Trinity

Learning outcomes

By the end of the course you should be able to:

Pre-requisites

The course will make use of a linux environment and a command line. Although this will briefly be introduced, basic knowlege of linux is advantagous. This course follows RNA-Seq part I, and attendees need to have followed that course or have equivalent knowledge of the early stages of RNA-Seq analysis.

Full course syllabus

Course materials

Course book