BIOPHARMA

Good Manufacturing Practices Software

Unlock faster, GxP compliant solutions for NGS workflows for cell and gene therapies – discover how a streamlined NGS analysis platform empowers biopharma teams to take control of quality, accelerate development, and meet good manufacturing practices (GMP) standards with total confidence.

90% of next-gen therapeutics could fail without robust quality analytics1 – are your NGS workflows ready?

AAV-based gene therapies are transforming disease treatment, but manufacturing challenges like heterogeneity, contamination and hidden mutations threaten safety, efficacy and cost. Even rare sequence errors can disrupt protein expression or packaging, putting the therapy at risk.
Regulators now recommend next-generation sequencing (NGS) over traditional assays for its sensitivity and unbiased insights. However, implementing NGS in GMP-compliant settings poses hurdles – from data gaps to limited digital solutions – amid mounting pressure to accelerate timelines.

End-to-end, GMP-ready NGS analysis

Implementing GMP-compliant NGS workflows requires more than sequencing – it demands validated bioinformatics pipelines and integrated access to product and process data for confident decision-making. By bringing analysis in-house with CLC Genomics Workbench, biopharma teams can streamline compliant, end-to-end workflows and collaborate more effectively. The result?

Faster, data-driven quality decisions
Delivers rapid, reliable variant analysis and seamless integration with GMP workflows
Maintain high precision and accuracy
Detects low-frequency variants to ensure reliable insights into product integrity
Highest standards of safety and efficacy
Supports consistent, compliant batch release testing and regulatory submissions

Your NGS workflow: full commercial support with optional services 

CLC Genomics Workbench

Data import and initial QC
Import raw reads
Evaluate quality with Phred scores, base composition and more
Identify issues like low-complexity regions and adapter contamination
Read preprocessing
Trim adapters and low-quality bases
Filter out contaminants or unwanted reads
Alignment and coverage
Align reads to the appropriate reference genome or plasmid sequence
Confirm complete coverage of critical therapeutic regions
Variants and genetic stability
Detect SNPs, indels and other sequence variants that could impact therapeutic efficacy
Assess genetic stability of transgenes and packaging elements
Viral contaminant screening
Screen your sequencing data against viral databases
Confirm the absence of adventitious agents
Regulatory-ready reports
Generate detailed reports that are ready for internal reviews and regulatory submission
Share your findings with different teams, all in the same CLC environment

Do it all from one centralized platform

Audit
Track your imported data with audit trails, from initial import to final reports
Standardize
Reduce manual errors, ensure data integrity and maintain compliance with automated, validated workflows
Secure
Restrict access based on user roles; trace decision-making decisions and GMP documentation
Automate
Validated contamination detection workflows, variant calling, quality control and more

Simplified GMP compliance solutions

QIAGEN CLC Genomics Workbench is purpose-built to help biopharma organizations implement NGS-based assays within GMP frameworks – ensuring rigorous QC, data integrity, and safety standards. Designed for reliability and ease of use, it provides everything needed to detect viral contaminants and genetic instability with confidence.

Platform-agnostic compatibility

Compatible with all major NGS technologies, including Illumina, 10x Genomics, Oxford Nanopore, due to flexible, modular and standards-based architecture.

Workflow automation

Minimizes human error through automated data capture and secure, timestamped documentation—ensuring consistent, audit-ready compliance and full traceability in line with GMP requirements.

Secure workflow control

A secure server enables real-time error tracking, digital signatures and streamlined access, while role-based authentication protects sensitive data and restricts critical changes to authorized users.

Precision variant monitoring

Accurately detect low-frequency variants with validated algorithms and trace genetic changes across production stages using intuitive, auditable workflows tailored for viral vector and vaccine manufacturing.

Integrated NGS analysis

Comprehensive workflows for RNA-seq, variant calling, metagenomics and single-cell analysis combine with a user-friendly interface, customizable pipelines, and pre-configured protocols to streamline advanced NGS with the latest algorithms.

Scalable deployment

Deploy on existing infrastructure or in the cloud to enable cost-efficient computing, while standardizing and scaling bioinformatics pipelines for consistent, compliant batch release and regulatory readiness.

explore tailored clc solutions

Speak with an expert

Not sure if CLC Genomics Workbench is the right fit for your GMP NGS workflows? Connect with a QDI expert for a free consultation. We’ll discuss your needs, assess feasibility and outline tailored trial and licensing options – so you can move forward with total confidence.

Resources

3 ways NGS is revolutionizing viral safety in biopharma
NGS is breaking biopharma’s viral safety status quo—delivering faster, broader and ethically sound testing that regulators now endorse as the new gold standard.
Read more
Stay audit-ready with powerful NGS workflows
Discover how you can streamline biosafety assessments, replace animal infectivity tests and stay ahead of compliance demands.
Read more
ICH Q5A(R2) Guidelines on viral safety evaluation
The new ICH Q5A(R2) guidelines now endorse NGS as a replacement or supplement for in vivo and in vitro viral safety tests. 
Access guidelines

Related biopharma solutions

1. Schweizer L. Drug Intelligence Science (DIS®): Pioneering a high-resolution translational platform to enhance the probability of success for drug discovery and development. Drug Discovery Today. 2023;28(11):103795-103795. doi:https://doi.org/10.1016/j.drudis.2023.103795

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