e-learning
RNA-seq Alignment with STAR
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
Licence: Creative Commons Attribution 4.0 International
Keywords: Transcriptomics
Target audience: Students
Resource type: e-learning
Version: 6
Status: Active
Prerequisites:
- Introduction to Galaxy Analyses
- Mapping
- Quality Control
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
Date modified: 2023-11-09
Date published: 2023-05-15
Contributors: Fotis E. Psomopoulos, Helena Rasche, Saskia Hiltemann, The Carpentries
Scientific topics: Transcriptomics
Activity log
