Source: Agilent Technologies
Improve next-generation sequencing success by ensuring DNA quality is assessed early and objectively. This large-scale study of 4,000 blood and tumor samples shows how the DNA Integrity Number (DIN) provides a reliable predictor of sequencing performance. Higher DIN values consistently align with better coverage and successful runs, while lower scores signal increased risk of failure. The study also demonstrates that optimal DIN thresholds differ by sample type, with blood samples showing clearer cutoffs and tumor samples requiring more nuanced interpretation.
Read the full application note to learn how DIN-based quality control can help you triage samples earlier, reduce wasted sequencing effort, and improve overall NGS success rates.
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