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== Robust Synthetic Biology ==
==Our Research==
Despite recent advances in synthetic biology, our ability to construct devices that are robust to changes in biochemical context and environmental fluctuations is still lacking. This is due, in part, to our inability to predict how devices will perform in the chassis cell using computer modelling. Our research in this area covers
Our research in the Barnes Lab focuses on using synthetic biology and computational methods across a range of areas. In general, we aim to make biology more 'engineerable', predictable and robust. Some of the projects which we have studied are listed below.
# developing design methods based on Bayesian statistics that allow one to select devices based on their robustness to extrinsic noise
 
# constructing gene circuits with additional feedback mechanisms to increase robustness
==Current Projects==
# using fluorescent time course microscopy to track individual cells, extract time course data and fit quantitative models
Below are some of examples of projects that are currently in progress:
 
*'''Computational Approaches for Controlling Mixed Microbial Communities''' -- 
*'''Computation Using Patterning of Bacterial Colonies''' --
*'''Engineering the Microbiome for Therapeutic and Diagnostic Applications''' --
 
==Previous Projects==
Here are some of the previous projects, which have been worked on by past members of the lab:
 
*'''Construction of Therapeutically Relevant Bacterial Biosensors'''
*'''Computational Design and Characterisation of Synthetic Gene Switches'''
 


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Latest revision as of 05:16, 22 June 2018

UCL Computational Systems and Synthetic Biology


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Our Research

Our research in the Barnes Lab focuses on using synthetic biology and computational methods across a range of areas. In general, we aim to make biology more 'engineerable', predictable and robust. Some of the projects which we have studied are listed below.

Current Projects

Below are some of examples of projects that are currently in progress:

  • Computational Approaches for Controlling Mixed Microbial Communities --
  • Computation Using Patterning of Bacterial Colonies --
  • Engineering the Microbiome for Therapeutic and Diagnostic Applications --

Previous Projects

Here are some of the previous projects, which have been worked on by past members of the lab:

  • Construction of Therapeutically Relevant Bacterial Biosensors
  • Computational Design and Characterisation of Synthetic Gene Switches