Building robust manufacturing processes from biological components is a task that is highly complex and requires sophisticated tools to describe processes, inputs, and measurements and to administrate management of knowledge, data, and materials. For bioengineering to fully access biological potential, it will require application of statistically designed experiments to derive detailed empirical models of underlying systems. This requires development of expressive, high-level languages that allow reusability of protocols, characterization of their reliability, and a change in focus from implementation details to functional properties.
(Sadowski et al., 2015) Harnessing QbD, Programming Languages, and Automation for Reproducible Biology. Trends Biotechnol.