AstraZeneca’s journey with automated library prep

In oncology R&D, speed and scale is crucial, however in terms of generating high-quality RNA-seq data across increasingly large cohorts, traditional library prep workflows struggle to keep pace. AstraZeneca is facing this exact challenge and were seeking out a solution to reduce delays in discovery pipelines and limitations in data-driven decision-making.

Discover how AstraZeneca was able to find a solution that supported large-scale oncology projects and was able to optimize resources and produce reliable and consistent data.