Analysis of error profiles in deep next-generation sequencing data.

Xiaotu MaYing ShaoLiqing TianDiane A FlaschHeather L MulderMichael N EdmonsonYu LiuXiang ChenScott NewmanJoy NakitandweYongjin LiBenshang LiShuhong ShenZhaoming WangSheila ShurtleffLeslie L RobisonShawn LevyJohn EastonJinghui Zhang

Published in: Genome biology (2019)

We present the first comprehensive analysis of sequencing error sources in conventional NGS workflows. The error profiles revealed by our study highlight new directions for further improving NGS analysis accuracy both experimentally and computationally, ultimately enhancing the precision of deep sequencing.

Keyphrases

single cell
electronic health record
copy number
big data
machine learning
dna methylation
artificial intelligence
deep learning