Web Seminar: Optimizing Next Generation Sequencing through Flexible Automation in Library Preparation

Content and goals of the Web Seminar

Duration: ~15 min
Language: English

Speaker:
Franziska Hausig-Punke, Industry Manager, Analytik Jena

Next generation sequencing (NGS) is crucial for the identification of target molecules in drug discovery and provides important genomic insights for therapeutic development. The challenge is to ensure consistent quality and efficiency of NGS results, especially with increasing sample sizes in large-scale genome projects. 

For the preparation of NGS libraries from ancient DNA, a semi-automated high-throughput workflow has been developed to elucidate the history of neurological and mental diseases over the last 10,000 years. This approach integrates automated processes for library preparation, including library purification, pooling and preparation for quantification. The introduction of automated library preparation has significantly increased efficiency and ensured consistently high quality. Automation minimises variability, reduces human error and significantly increases throughput in the laboratory. These advances emphasise the central role of robust, automated workflows in NGS applications in the biotech and pharmaceutical industries, particularly in high-throughput target identification in drug discovery.

Key learning objectives:

• Leveraging AI for transformative drug discovery and development
• Engineering molecular therapeutics from discovery through translation
• Accelerating precision medicine through disease modeling and precision dosing
• Machine learning and simulations to accelerate clinical trials