Enhanced Error Suppression for Accurate Detection of Low-Frequency Variants.

Abstract excerpt

The identification of low-frequency variants remains challenging due to the inevitable high error rates of next-generation sequencing (NGS). Numerous promising strategies employ unique molecular identifiers (UMIs) for error suppression. However, their efficiency depends highly on redundant sequencing and quality control, leading to tremendous read waste and cost inefficiency. Here, we describe a novel approach,...

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• Bayes Theorem
• Genetic Variation
• High-Throughput Nucleotide Sequencing
• Sequence Analysis, DNA