Research

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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{Galdzicki:2014:10.1038/nbt.2891,
author = {Galdzicki, M and Clancy, KP and Oberortner, E and Pocock, M and Quinn, JY and Rodriguez, CA and Roehner, N and Wilson, ML and Adam, L and Anderson, JC and Bartley, BA and Beal, J and Chandran, D and Chen, J and Densmore, D and Endy, D and Gruenberg, R and Hallinan, J and Hillson, NJ and Johnson, JD and Kuchinsky, A and Lux, M and Misirli, G and Peccoud, J and Plahar, HA and Sirin, E and Stan, G-B and Villalobos, A and Wipat, A and Gennari, JH and Myers, CJ and Sauro, HM},
doi = {10.1038/nbt.2891},
journal = {NATURE BIOTECHNOLOGY},
pages = {545--550},
title = {The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology},
url = {http://dx.doi.org/10.1038/nbt.2891},
volume = {32},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Galdzicki,M
AU  - Clancy,KP
AU  - Oberortner,E
AU  - Pocock,M
AU  - Quinn,JY
AU  - Rodriguez,CA
AU  - Roehner,N
AU  - Wilson,ML
AU  - Adam,L
AU  - Anderson,JC
AU  - Bartley,BA
AU  - Beal,J
AU  - Chandran,D
AU  - Chen,J
AU  - Densmore,D
AU  - Endy,D
AU  - Gruenberg,R
AU  - Hallinan,J
AU  - Hillson,NJ
AU  - Johnson,JD
AU  - Kuchinsky,A
AU  - Lux,M
AU  - Misirli,G
AU  - Peccoud,J
AU  - Plahar,HA
AU  - Sirin,E
AU  - Stan,G-B
AU  - Villalobos,A
AU  - Wipat,A
AU  - Gennari,JH
AU  - Myers,CJ
AU  - Sauro,HM
DO  - 10.1038/nbt.2891
EP  - 550
PY  - 2014///
SN  - 1087-0156
SP  - 545
TI  - The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology
T2  - NATURE BIOTECHNOLOGY
UR  - http://dx.doi.org/10.1038/nbt.2891
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000337233800016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 32
ER  -
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