Sequencing error profiles of Illumina sequencing instruments.

ABSTRACT: Sequencing technology has achieved great advances in the past decade. Studies have previously shown the quality of specific instruments in controlled conditions. Here, we developed a method able to retroactively determine the error rate of most public sequencing datasets. To do this, we utilized the overlaps between reads that are a feature of many sequencing libraries. With this method, we surveyed 1943 different datasets from seven different sequencing instruments produced by Illumina. We show that among public datasets, the more expensive platforms like HiSeq and NovaSeq have a lower error rate and less variation. But we also discovered that there is great variation within each platform, with the accuracy of a sequencing experiment depending greatly on the experimenter. We show the impo

SUBMITTER: Stoler N 

PROVIDER: S-EPMC8002175 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature