e-learning
NGS data logistics
Abstract
In this section, we will look at practical aspects of manipulation of next-generation sequencing data. We will start with the FASTQ format produced by most sequencing machines and will finish with the SAM/BAM format representing mapped reads.
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
- How to manipulate and process NGS data
Learning Objectives
- Understand most common types of NGS-related datatypes
- Learn about how Galaxy handles NGS data using Illumina data derived from patients infected with SARS-CoV-2
Licence: Creative Commons Attribution 4.0 International
Keywords: Introduction to Galaxy Analyses
Target audience: Students
Resource type: e-learning
Version: 35
Status: Active
Learning objectives:
- Understand most common types of NGS-related datatypes
- Learn about how Galaxy handles NGS data using Illumina data derived from patients infected with SARS-CoV-2
Date modified: 2025-04-14
Date published: 2017-02-22
Contributors: Anton Nekrutenko, Armin Dadras, Björn Grüning, Bérénice Batut, Helena Rasche, John Davis, Mehmet Tekman, Niall Beard, Nicola Soranzo, Saskia Hiltemann, William Durand
Activity log
