TNER: a novel background error suppression method for mutation detection in circulating tumor DNA.

ABSTRACT:

Background

Ultra-deep next-generation sequencing of circulating tumor DNA (ctDNA) holds great promise as a tool for the early detection of cancer and for monitoring disease progression and therapeutic responses. However, the low abundance of ctDNA in the bloodstream coupled with technical errors introduced during library construction and sequencing complicates mutation detection.

Results

To achieve high accuracy of variant calling via better distinguishing low-frequency ctDNA mutations from background errors, we introduce TNER (Tri-Nucleotide Error Reducer), a novel background error suppression method that provides a robust estimation of background noise to reduce sequencing errors. The results on both simulated data and real data from healthy subjects demonstrate that the p

SUBMITTER: Deng S 

PROVIDER: S-EPMC6195972 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature