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

@misc{Kitney:2016,
author = {Kitney, RI},
title = {DICOM-SB at Imperial},
type = {Software},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - GEN
AB  - This website hosts supporting information for the paper 'Towards the First Data Acquisition Standard in Synthetic Biology' (Sainz de Murieta, Bultelle, Kitney, 2016) .The paper describes the development of a new data acquisition standard for synthetic biology, called DICOM-SB, which is based on the highly successful Digital Imaging and Communications in Medicine (DICOM) standard in medicine. It also introduces a data model that has been specifically developed for synthetic biology. The model is a modular, extensible data model for the experimental process, which can optimize data storage for large amounts of data.
AU  - Kitney,RI
PY  - 2016///
TI  - DICOM-SB at Imperial
ER  -
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