Correlating NGS Success with Sample Input Quality: A Large-Scale Study

The quality of DNA samples is critical to the success of next-generation sequencing (NGS) workflows. This study examines how using a DNA Integrity Number (DIN)- based threshold can optimize sequencing by assessing sample integrity early, ensuring only high-quality samples proceed.

By filtering out low-quality DNA before sequencing, DIN-based thresholds lead to more accurate and reliable results, reducing failed runs and unnecessary costs. This approach can improve overall workflow efficiency and data integrity.

This Application Note explores the following:

• Cost savings achieved by excluding poor-quality samples
• Streamlined workflows with clear quality benchmarks
• How to achieve consistent and reliable sequencing results

Download the full study to learn more.