Abstract
We present a scheme for implementing a version of task switching in engineered bacteria, based on the manipulation of plasmid copy numbers. Our method allows for the embedding of multiple computations in a cellular population, whilst minimising resource usage inefficiency. We describe the results of computational simulations of our model, and discuss the potential for future work in this area.
| Original language | English |
|---|---|
| Article number | 14 |
| Journal | Life |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 26 Jan 2019 |
Keywords
- Synthetic Biology
- biocomputing
- plasmids