Data-Driven NGS-Based Solutions for Cell Line Development & Characterization

Drive successful advanced therapy production by developing safe, stable, and high-performing cell lines. Genedata Selector^® empowers biopharma teams to apply next-generation sequencing (NGS) to monitor cell line Critical Quality Attributes (CQAs) such as purity, stability, and identity.  

By automating NGS data management, processing, and analysis, Genedata Selector streamlines cell line development while ensuring consistent data quality and full traceability for informed decision-making across R&D and manufacturing. Using Playbooks — pre-configured yet customizable analysis guides — Genedata Selector standardizes complex NGS workflows and enables the implementation of NGS as a multi-attribute method (MAM), generating multiple quality control (QC) readouts from a single NGS assay to reduce time, costs, and workflow complexity. For example, the Cell Line Characterization Playbook supports clone identity testing, integration site testing, and gene integrity evaluation while detecting adventitious agents in a single run. This accelerates cell line characterization and minimizes manual effort.  

As a scalable, GMP validation-ready NGS analysis software solution, Genedata Selector integrates seamlessly into GMP-compliant environments and generates submission-ready reports that simplify documentation and streamline validation.  

In this application note, discover how Genedata Selector enhances NGS analysis with efficiency, accuracy, and compliance — accelerating NGS-driven development of robust, stable cell lines essential for advancing modern therapies.