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Good manufacturing practices (GMP) environments, such as biologics production facilities, require transparent, reproducible and audit-ready workflows. Here, we introduce a standardized short- or long-reads NGS-based workflow for viral detection using QIAGEN CLC Genomics Workbench Software, highlighting best practices to ensure sensitivity and specificity – and support reliable viral safety testing.
You will learn:
To implement this new end-to-end NGS analysis workflow for viral detection using any sequencing technology
Process raw reads to final viral detection results using reproducible and traceable analysis steps, including quality control (QC), reference selection (e.g., RVDB) and contamination control
How this new workflow aligns with GMP
See how CLC supports audit-ready analysis through full parameter tracking, versioned references and run documentation suitable for regulated environments
To perform sensitive and robust viral detection
Detect low-level viral contamination using curated databases, optimized alignment strategies and result interpretation frameworks
By tv.qiagenbioinformatics.comGood manufacturing practices (GMP) environments, such as biologics production facilities, require transparent, reproducible and audit-ready workflows. Here, we introduce a standardized short- or long-reads NGS-based workflow for viral detection using QIAGEN CLC Genomics Workbench Software, highlighting best practices to ensure sensitivity and specificity – and support reliable viral safety testing.
You will learn:
To implement this new end-to-end NGS analysis workflow for viral detection using any sequencing technology
Process raw reads to final viral detection results using reproducible and traceable analysis steps, including quality control (QC), reference selection (e.g., RVDB) and contamination control
How this new workflow aligns with GMP
See how CLC supports audit-ready analysis through full parameter tracking, versioned references and run documentation suitable for regulated environments
To perform sensitive and robust viral detection
Detect low-level viral contamination using curated databases, optimized alignment strategies and result interpretation frameworks