hands-on tutorial
Hands-on for 'Quality Control' tutorial
The questions this addresses are:
- How to perform quality control of NGS raw data?
- What are the quality parameters to check for a dataset?
- How to improve the quality of a dataset?
The objectives are:
- Assess short reads FASTQ quality using FASTQE 🧬😎 and FastQC
- Assess long reads FASTQ quality using Nanoplot and PycoQC
- Perform quality correction with Cutadapt (short reads)
- Summarise quality metrics MultiQC
- Process single-end and paired-end data
Licence: Creative Commons Attribution 4.0 International
Keywords: sequence-analysis
Target audience: Students
Resource type: hands-on tutorial
Contributors: Alexandre Cormier, Anthony Bretaudeau, Bérénice Batut, Erasmus+ Programme, Erwan Corre, Laura Leroi, Maria Doyle, Stéphanie Robin
Scientific topics: Sequence analysis
Activity log
