Course Description: ONT Sequencing QC
The ONT Sequencing QC course provides a comprehensive introduction to quality control (QC) assessment for high-throughput third-generation sequencing data using Oxford Nanopore Technologies (ONT). Participants will learn key principles and hands-on techniques for evaluating data quality, identifying contamination, and generating QC reports using widely used bioinformatics tools.
This course is designed for researchers and students in genomics and bioinformatics seeking to develop expertise in sequencing quality control. The curriculum combines theoretical instruction with hands-on applications, enabling participants to confidently analyze and interpret sequencing data quality.
What You’ll Learn
- How to perform a Quality Control (QC) assessment of ONT sequencing data.
- How to generate QC stats and metrics using tools such as NanoPlot, FastQC, Fastq-scan, and MultiQC.
- Methods to identify possible contamination using Kraken2 and Bracken.
- How to interpret and critically evaluate data quality reports.
- Running simple scripts for automated QC assessment of genomic data.
Participants will gain practical experience with essential QC tools and workflows, ensuring high-confidence sequence data for downstream analysis.







