A Combinatorial Design Workflow for Search and Prioritization in Large-Scale Synthetic Biology Construct Assembly

Justin Ng, Aaron Berliner, Joe Lachoff, Florencio Mazzoldi, Eli Groban

International Joint Conference on Artificial Intelligence
2016

Abstract

We propose a strategy to effectively search the large solution space for a genetic system built from combinations of genetic parts. An iterative and interchangeable algorithm then searches the combinatorial space and creates a reasonably sized test set to build using new highly parallel genetic foundry capabilities. The algorithm can also learn from information gained from prior iterations to suggest combinations to try in the following iteration.

Related Publications

Loading...

Welcome ${RESELLERNAME} Customers

Please opt-in to receive reseller support

I agree that Autodesk may share my name and email address with ${RESELLERNAME} so that ${RESELLERNAME} may provide installation support and send me marketing communications.  I understand that the Reseller will be the party responsible for how this data will be used and managed.

Email is required Entered email is invalid.

${RESELLERNAME}