A benchmark study on error-correction by read-pairing and tag-clustering in amplicon-based deep sequencing.

ABSTRACT:

Background

The high error rate of next generation sequencing (NGS) restricts some of its applications, such as monitoring virus mutations and detecting rare mutations in tumors. There are two commonly employed sequencing library preparation strategies to improve sequencing accuracy by correcting sequencing errors: read-pairing method and tag-clustering method (i.e. primer ID or UID). Here, we constructed a homogeneous library from a single clone, and compared the variant calling accuracy of these error-correction methods.

Result

We comprehensively described the strengths and pitfalls of these methods. We found that both read-pairing and tag-clustering methods significantly decreased sequencing error rate. While the read-pairing method was more effective than the tag-clusteri

SUBMITTER: Zhang TH 

PROVIDER: S-EPMC4751728 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature