RDMbites | Sequencing data QC: trimming - TeSS (Training eSupport System)

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In 2021, ELIXIR-UK was granted a UKRI award for the ELIXIR-UK DaSH Fellowship. The University of Bradford leads the project with a delivery team at Cardiff University, the Earlham Institute, the University of Manchester, and the University of Oxford.

The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources, such as the RDMkit and the FAIR Cookbook.

It focuses on building capacity and professionalising data stewardship while leveraging the local expertise within diverse UK institutions – creating a data management culture change from within the institutions.

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RDMbites | Sequencing data QC: trimming

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Sequencing data QC, trimming raw sequencing reads

Licence: Creative Commons Attribution Share Alike 4.0 International

Contact: contact@elixir-uk.org

Keywords: sequencing data, FastQC

Resource type: Video

Learning objectives:

In this RDMbite you will learn which are the key FastQC metrics needed to inform read manipulation, including both raw read trimming and adapter removal, and see how trimming can drastically improve a dataset. This video follows on from the FastQC explainer RDMbite. If you’re unsure about what FastQC can tell you about sequencing data, check out that introduction and come right back.

Authors: Andrew Mason

Contributors: Robert Andrews, Branka Franicevic

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