Computational and Structural Biotechnology JournalGenomicsPeer-reviewed journal article
Validation of the NovaSeq6000 Platform and automated library preparation for CE-IVD equivalence
Elena PasquinelliiD, Giulia Rollo, Flavia Tinella, Miriana Danelli, Samantha Minetto, Giulia CasamassimaiD, Michel BaderiD, Laura Calonaci, Olga Lorenza Colavecchio, Rossella TitaiD, Roberta Mancini, Margherita BaldassarriiD, Caterina Lo RizzoiD, Anna Maria PintoiD, Francesca ArianiiD, Chiara FalleriniiD, Paola MontagnaiD, Vincenzo MezzatestaiD, Mirella BruttiniiD, Alessandra RenieriiD
Abstract
The implementation of next-generation sequencing (NGS) technologies in clinical diagnostics requires rigorous validation of sequencing platforms and analytical workflows. In this study, we validated the performance of the Illumina NovaSeq6000 Research Use Only (RUO) platform, combined with automated library preparation using the Hamilton Microlab STAR system, by comparison to the CE-IVD certified NovaSeq6000Dx platform, which currently relies on manual library preparation. A total of 96 clinical samples underwent whole-exome sequencing (WES) on both platforms. Variant detection performance was assessed for single nucleotide variants (SNVs) and copy number variants (CNVs). The RUO platform demonstrated 100% concordance with the CE-IVD system for clinically relevant SNVs, with full agreement across positive, negative, and overall percent agreement metrics. For CNVs larger than 150 kb, the positive percent agreement was 79%, rising to 91.7% for CNVs >900 kb. Coverage uniformity and autosomal callability were consistently high across platforms. These results confirm the analytical equivalence of the NovaSeq6000 RUO configuration with automated library preparation for clinical-grade WES. This validation framework supports the adoption of scalable, cost-effective workflows that can achieve diagnostic performance comparable to CE-IVD certified systems and may facilitate routine implementation of exome sequencing in clinical laboratories. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=124 SRC="FIGDIR/small/671033v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@1735683org.highwire.dtl.DTLVardef@134d50dorg.highwire.dtl.DTLVardef@18f6e07org.highwire.dtl.DTLVardef@180a3e8_HPS_FORMAT_FIGEXP M_FIG C_FIG
- assay: whole-exome sequencing
- research focus: variant calling
- research focus: benchmarking
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 2
- FWCI
- 1.18
- Field percentile
- top 21%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Detection and characterization of copy number variants based on whole-genome sequencing by DNBSEQ platforms
Junhua Rao, Lihua Peng, … Feng Mu·BMC BioinformaticsPeer-reviewed·Nov 11, 2020
- Comparison of Illumina MiSeq and the Ion Torrent PGM and S5 platforms for whole-genome sequencing of picornaviruses and caliciviruses
R. L. Marine, L. C. Magana, … M. S. Oberste·bioRxiv·Jul 17, 2019
- A new massively parallel nanoball sequencing platform for whole exome research
Yu Xu, Zhe Lin, … Qiang Gao·BMC BioinformaticsPeer-reviewed·Mar 25, 2019
- Application of the Nicking Loop™ targeted library preparation method to DNBSEQ™ sequencing
Simona Adamusová, Anttoni Korkiakoski, … Juha-Pekka Pursiheimo·bioRxiv·Mar 12, 2026
- Rapid, Reliable, and Interpretable CNV Curation Visualizations for Diagnostic Settings with SeeNV
Michael S. Bradshaw, Jishnu Raychaudhuri, … Ryan M. Layer·Journal of Molecular DiagnosticsPeer-reviewed·Mar 3, 2025
- Accurate somatic variant calling performance using Avidity Sequencing with Burning Rock OncoScreenTM Plus panel
Guangliang Zhang, Yangyang Liu, … Zhihong Zhang·bioRxiv·Sep 20, 2023