Analysing raw sequencing reads with FASTQC for quality control and filtering

Quality control and filtering of sequencing reads is one of the most important steps in the pre-processing of sequencing reads. However, it is not always trivial to figure out which reads needs adjustment and which can be left untouched. In this tutorial, we explain the basics of the Phred score concept and introduce important quality metrics used in a majority of quality control bioinformatics tools such as FASTQC. We also demonstrate how to understand and interpret these quality metrics. We use an open dataset from a recently published paper with an exciting theme: a study of a multi-drug resistance in Mycobacterium tuberculosis. This is a first tutorial from a set of tutorials on read quality improvement. <a href="https://medium.com/@shilparaopradeep/analysing-raw-sequencing-reads-with-fastqc-for-quality-control-and-filtering-cacaf06b8988">Learn More</a>