As companies build genome editing pipelines, 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 and samples. This means scientists often struggle to find the right samples, have difficulty in managing day-to-day lab operations such as consumable tracking and greenhouse management, and can’t easily iterate on development processes.
This application note provides:
- An overview of challenges faced by gene editing companies
- How Benchling’s capabilities can help overcome these complexities and improve productivity