Reaping the Benefits of Algorithm-Driven Research in Synthetic Biology
This webinar discusses how an algorithm-driven synthetic biology system can enable engineering of biological systems for a range of applications.
Synthetic biology applies engineering principles to study biological systems through design-build-test cycles and offers great promise for applications in healthcare, the biochemical industry, as well as fundamental discovery. However, the workflows are still mainly driven by human scientists, making it slow, expensive, and prone to human error and biases.
Our speaker, Ran Chao of the University of Illinois, shares details of a fully automated and highly versatile biological foundry that allows algorithms to directly design biosystems, orchestrate workflows, and analyze data. Dr. Chao discusses the latest applications of algorithm-driven synthetic biology at the University of Illinois as well as at LifeFoundry, a synthetic biology startup. He also shares applications of Tecan liquid handling systems in high-throughput TALEN (transcription activator-like effector nucleases) synthesis as well as rapid strain development processes.