Article

DREAMS: Deep Read-level Error Model for Sequencing data applied to low-frequency variant calling and circulating tumor DNA detection

2022-09-28

Abstract excerpt

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 DREAMS ( D eep Rea d-level M odelling of S equencing-errors) for estimating error rates of individual read positions. Using DREAMS, we developed statistical...

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Literature Corpus work: 53187003-de0d-5ae3-be42-758734f7ef45
DOI: 10.1101/2022.09.27.509150

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