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Abstract
Next-generation sequencing (NGS) library preparation is a core component of precision genomics, but it is commonly constrained by inefficiency, variability, and low throughput of manual protocols. To address these limitations, we developed and systematically evaluated a fully automated NGS workstations and further validated its performance across representative application scenarios. The automated system reduced total processing time from 8 to 10 to 4–6 h. At the same time, it maintained similar performance in pre-library metric, including DNA yield and fragment size, as well as post-capture sequencing metrics (Q30 > 90%, mapping rates > 95%, on-target rates 85–90%). The duplication rate was reduced to 5–8%, compared with 10–15% for manual methods, indicating increased library complexity. Bioinformatic evaluation of inter-species read mapping showed minimal cross-contamination, with a maximum contamination ratio of 0.0003%, indicating effective sample isolation in the automated workflow. High concordance in variant detection was observed between automated and manual workflows. Overall, this automated workstation provides a standardized and reproducible workflow that supports scalable precision genomics applications.
Data availability
The raw sequence data reported in this paper have been deposited in the Genome Sequence Archive21 in National Genomics Data Center22, China National Center for Bioinformation / Beijing Institute of Genomics, Chinese Academy of Sciences (GSA-Human: HRA017097) that are publicly accessible at https://ngdc.cncb.ac.cn/gsa-human.
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Funding
This study was supported by Nanodigmbio (Nanjing) Biotechnology Co.Ltd.
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Cite this article
Xie, W., Yang, C. & Ren, S. Systematic performance evaluation and application validation of an end-to-end NGS workstation. Sci Rep (2026). https://doi.org/10.1038/s41598-026-43941-7
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DOI: https://doi.org/10.1038/s41598-026-43941-7
