Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long …
Synthetic biology promises to leverage engineering principles to enable model-based design of genetic circuits. To be successful, advancements are needed in both experimental and computational methods to support this new approach. This paper focuses …
Crucial to the success of synthetic biology is the development of platforms for genetic design automation (GDA). This chapter presents the current state-of-the-art in GDA tools. This chapter also briefly describes the standards used for data …
Circuit designers are increasingly more drawn to challenges in modeling and designing biological circuits and systems. While the principles of biological organization and architecture resemble those in systems that engineers are designing, the …
When designing and analyzing genetic circuits, researchers are often interested in the probability of the system reaching a given state within a certain amount of time. Usually, this involves simulating the system to produce some time series data and …
Electronic design automation (EDA) tools have facilitated the design of ever more complex integrated circuits each year. Synthetic biology would also benefit from the development of genetic design automation (GDA) tools. Existing GDA tools require …
Synthetic biology uses engineering principles to design circuits out of genetic materials that are inserted into bacteria to perform various tasks. While synthetic combinational Boolean logic gates have been constructed, there are many open issues in …