Nucleic acid workflows, such as next-generation sequencing (NGS), can be highly sensitive to variations in sample quality. Hence, understanding the integrity of DNA and RNA material is critical to enhancing discovery power and ensuring the accuracy of NGS data. Not least, it helps researchers get the most out of precious biobank samples.
Whether you’re working with gDNA, cfDNA or RNA, this guide will help you leverage meaningful and objective insights that are specific to your application, sample type, preparation method and sequencing approach.
- Key QC steps for an optimized NGS workflow
- Quality metric examples that span biobank sample lifecycles
- Advanced solutions to help you achieve your biobanking and NGS outcomes
