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Synthetic Biology underpins advances in the bioeconomy

Biological systems - including the simplest cells - exhibit a broad range of functions to thrive in their environment. Research in the Imperial College Centre for Synthetic Biology is focused on the possibility of engineering the underlying biochemical processes to solve many of the challenges facing society, from healthcare to sustainable energy. In particular, we model, analyse, design and build biological and biochemical systems in living cells and/or in cell extracts, both exploring and enhancing the engineering potential of biology. 

As part of our research we develop novel methods to accelerate the celebrated Design-Build-Test-Learn synthetic biology cycle. As such research in the Centre for Synthetic Biology highly multi- and interdisciplinary covering computational modelling and machine learning approaches; automated platform development and genetic circuit engineering ; multi-cellular and multi-organismal interactions, including gene drive and genome engineering; metabolic engineering; in vitro/cell-free synthetic biology; engineered phages and directed evolution; and biomimetics, biomaterials and biological engineering.

Publications

Citation

BibTex format

@article{Quinn:2015:10.1371/journal.pbio.1002310,
author = {Quinn, JY and Cox, RS and Adler, A and Beal, J and Bhatia, S and Cai, Y and Chen, J and Clancy, K and Galdzicki, M and Hillson, NJ and Le, Novère N and Maheshwari, AJ and McLaughlin, JA and Myers, CJ P U and Pocock, M and Rodriguez, C and Soldatova, L and Stan, GB and Swainston, N and Wipat, A and Sauro, HM},
doi = {10.1371/journal.pbio.1002310},
journal = {PLOS Biology},
title = {SBOL Visual: A Graphical Language for Genetic Designs.},
url = {http://dx.doi.org/10.1371/journal.pbio.1002310},
volume = {13},
year = {2015}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Synthetic Biology Open Language (SBOL) Visual is a graphical standard for genetic engineering. It consists of symbols representing DNA subsequences, including regulatory elements and DNA assembly features. These symbols can be used to draw illustrations for communication and instruction, and as image assets for computer-aided design. SBOL Visual is a community standard, freely available for personal, academic, and commercial use (Creative Commons CC0 license). We provide prototypical symbol images that have been used in scientific publications and software tools. We encourage users to use and modify them freely, and to join the SBOL Visual community: http://www.sbolstandard.org/visual.
AU - Quinn,JY
AU - Cox,RS
AU - Adler,A
AU - Beal,J
AU - Bhatia,S
AU - Cai,Y
AU - Chen,J
AU - Clancy,K
AU - Galdzicki,M
AU - Hillson,NJ
AU - Le,Novère N
AU - Maheshwari,AJ
AU - McLaughlin,JA
AU - Myers,CJ P U
AU - Pocock,M
AU - Rodriguez,C
AU - Soldatova,L
AU - Stan,GB
AU - Swainston,N
AU - Wipat,A
AU - Sauro,HM
DO - 10.1371/journal.pbio.1002310
PY - 2015///
SN - 1545-7885
TI - SBOL Visual: A Graphical Language for Genetic Designs.
T2 - PLOS Biology
UR - http://dx.doi.org/10.1371/journal.pbio.1002310
UR - http://hdl.handle.net/10044/1/28774
VL - 13
ER -

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Work in the IC-CSynB is supported by a wide range of Research Councils, Learned Societies, Charities and more.