Home
Scholarly Works
Optimizing the Illumina COVIDSeq laboratorial and...
Journal article

Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking

Abstract

The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting interventions to contain novel outbreaks. This scenario poses a challenge for NGS laboratories worldwide that are pressed to have both a faster turnaround time and a high-throughput processing of swabs for sequencing and analysis. In this study, we present an optimization of the Illumina COVID-seq protocol carried out on thousands of SARS-CoV-2 samples at the wet and dry level. We discuss the unique challenges related to processing hundreds of swabs per week such as the tradeoff between ultra-high sensitivity and negative contamination levels, cost efficiency and bioinformatics quality metrics.

Authors

Donzelli S; Ciuffreda L; Pontone M; Betti M; Massacci A; Mottini C; De Nicola F; Orlandi G; Goeman F; Giuliani E

Journal

Computational and Structural Biotechnology Journal, Vol. 20, , pp. 2558–2563

Publisher

Elsevier

Publication Date

January 1, 2022

DOI

10.1016/j.csbj.2022.05.033

ISSN

2001-0370

Contact the Experts team