Abstract

In recent years, RNA sequencing (in short RNA-Seq) has become a very widely used technology to analyze the continuously changing cellular transcriptome, i.e. the set of all RNA molecules in one cell or a population of cells. One of the most common aims of RNA-Seq is the profiling of gene expression by identifying genes or molecular pathways that are differentially expressed (DE) between two or more biological conditions. This tutorial demonstrates a computational workflow for counting and locating the genes in RNA sequences. The first and most critical step in an RNA-seq analysis.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

• What are the first steps to process RNA-seq data?

Learning Objectives

• Learn the basics to process RNA sequences
• Check the quality and trim the sequences with bash
• Use command line STAR aligner to map the RNA sequences
• Estimate the number of reads per gens