Case Study

NGS Analysis Of Hereditary Cancer Predispositions At The Laboratory Of Molecular Genetics, Jihlava Hospital

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Jihlava Hospital’s Laboratory of Molecular Genetics has built a highly efficient workflow for analyzing hereditary cancer risk using next‑generation sequencing. With an oncopanel covering 87 key genes, the team relies on precise library preparation and dependable quality control to ensure accurate variant detection. Their shift to an automated QC approach has reduced hands‑on time, improved reproducibility, and strengthened confidence in the sequencing data that informs patient‑focused insights. By integrating automation, intuitive software, and ready‑to‑use consumables, the lab now maintains faster turnaround times while supporting expanding research ambitions—including future whole‑genome applications.

Gain a practical look at how thoughtful workflow upgrades can streamline complex NGS pipelines and enhance library quality across cancer genetics programs.

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