Abstract Detecting very minor (< 1%) subpopulations using next-generation sequencing is a critical need for multiple applications including detection of drug resistant pathogens and somatic variant detection in oncology. To enable these applications, wet lab enhancements and bioinformatic error correction methods have been developed for ‘sequencing by synthesis’ technology to reduce its inherent sequencing error rate. A recently available sequencing approach termed ‘sequencing by binding’ claims to have higher base calling accuracy data “out of the box.” This paper evaluates the utility of using ‘sequencing by binding’ for the detection of ultra-rare subpopulations down to 0.001%.
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Allender et al. (2024) studied this question.
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