Bridging the Gap between Design and Reality - A Dual Evolutionary Strategy for the Design of Synthetic Genetic Circuits

This work proposes an automated, iterative strategy involving evolution both in silico and in vivo, with feedback between strands as necessary, combined with automated reasoning to help bridge the gap between the behaviour of computational models and that of engineered organisms in as rapid and cost-effective a manner as possible.