Closed-Loop Design, Build, Test and Learn Engineering Principles for Synthetic Genetic Networks – with Microsoft

Expert Spotlight Webinar

Microsoft Research deployed Synthace on project Station B, which aims to develop an integrated platform for programming biological systems by improving all phases of the Design, Build, Test, Learn (DBTL) workflow typically used in Synthetic Biology.

Watch the on-demand recording now to learn more about how Synthace’s optimized Construct Assembly workflows drove the physical execution of Type IIS construct assemblies as part of an end-to-end workflow in DBTL cycle with Microsoft Research.

  • Learn how our software platform Synthace enabled Microsoft scientists to accelerate the Design, Build, Test, Learn (DBTL) iteration cycle with rapid and flexible liquid handling automation control

  • Hear how digital descriptions of experiments were physically executed on liquid handling automation platforms through the control of Synthace

  • Understand how this enabled Microsoft to go from experimental design to data insight in a shorter time frame, allowing them to focus on refining biological designs and applying machine learning and computational analysis to their results, rather than on manual unit operations in the lab, which can be slow and error-prone

WEBINAR PREVIEW

The Biological Computation group at Microsoft Research in Cambridge began working with Synthace in 2014 and is using Synthace as part of its research into synthetic biology methods and applications. To accelerate the physical construction and testing of a genetic devices library, Microsoft Research deployed Synthace on project Station B, which aims to develop an integrated platform for programming biological systems by improving all phases of the Design, Build, Test, Learn (DBTL) workflow typically used in Synthetic Biology.

The webinar was given by Dr Boyan Yordanov and Dr Paul Grant from Microsoft Research. Boyan and Paul elaborated on the case study and explained how Synthace’s optimized Construct Assembly workflows drove the physical execution of Type IIS construct assemblies as part of an end-to-end workflow in their DBTL cycle. They were accompanied by Dr Emilie Fritsch from Synthace, who discussed the capability of Synthace to address flexible automation in research.

The Microsoft and Synthace Design, Build, Test and Learn cycle. Microsoft Research are able to speed the digital to physical translation of genetic designs to data generation for machine learning via Synthace’s laboratory control software platform, Synthace. Synthace provides the physical execution engine for automated genetic construct assembly and cellular bioassay setup (Build and Test stages) whilst Microsoft Research use machine learning approaches for model parameterization and custom design software for subsequent genetic device design (Learn and Design stages).

Speakers

Boyan Yordanov

Principal Scientist, Microsoft Research

Paul Grant

Synthetic Biologist, Microsoft Research

Photo of Emilie Fritsch - Field Application Scientist
Emilie Fritsch

Senior Technical Specialist

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