Despite significant advancements in cellular agriculture, tools for managing samples, process versions, and results have barely changed in the past decade. Scientists still use emails, spreadsheets, and standalone molecular biology tools to design and track hundreds of sequences. This means scientists often struggle to find the full experimental context of a sample, can’t easily iterate on development processes, and have difficulty planning, managing, and monitoring research programs.
This application note provides:
- An overview of challenges faced by cultured meat R&D scientists
- How Benchling’s capabilities can help overcome these complexities