In-depth comparative analysis of Illumina^® MiSeq run metrics: Development of a wet-lab quality assessment tool.

ABSTRACT: Whole genome sequencing of bacterial isolates has become a daily task in many laboratories, generating incredible amounts of data. However, data acquisition is not an end in itself; the goal is to acquire high-quality data useful for understanding genetic relationships. Having a method that could rapidly determine which of the many available run metrics are the most important indicators of overall run quality and having a way to monitor these during a given sequencing run would be extremely helpful to this effect. Therefore, we compared various run metrics across 486 MiSeq runs, from five different machines. By performing a statistical analysis using principal components analysis and a K-means clustering algorithm of the metrics, we were able to validate metric comparisons among instrument

SUBMITTER: Kastanis GJ 

PROVIDER: S-EPMC6487961 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature