Analysis of error profiles of Indels and structural variants in deep sequencing data

Supplementary Data and Codes used to generate figures in the manuscript

We established Indel and SV error profiles in deep next generation sequencing data that enabled superior tumor detection performance at very low burdens, which has a significant impact on the clinical diagnosis and monitoring of human cancers and beyond. Our data also suggests future research directions to improve recovery of mutant reads in ultra-deep sequencing applications.