DREAMS: deep read-level error model for sequencing data applied to low-frequency variant calling and circulating tumor DNA detection
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Circulating tumor DNA detection using next-generation sequencing (NGS) data of plasma DNA is promising for cancer identification and characterization. However, the tumor signal in the blood is often low and difficult to distinguish from errors. We present DREA... ...
