Improving Next-Generation Sequencing Workflows With Droplet Digital PCR
Next-generation sequencing (NGS) plays a critical role in oncology research, enabling tumor profiling, biomarker discovery, and mutation analysis across diverse sample types.
However, inconsistent read depth, amplification bias, and unreliable library quantification can limit detection of low-frequency variants, especially in liquid biopsy and FFPE samples.
This whitepaper explores how droplet digital PCR (ddPCR) enhances NGS workflows to improve accuracy, sensitivity, and validation in cancer research.
Download this whitepaper to discover:
- How to improve sequencing accuracy and data confidence
- Strategies to reduce bias and optimize library quantification
- Supporting hybrid NGS profiling and ddPCR validation