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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A comparative analysis of synthetic genetic oscillators

Open access
Purcell, Oliver, Savery, Nigel J., Grierson, Claire S., di Bernardo, Mario·2010·Journal of The Royal Society Interface

Abstract

Synthetic biology is a rapidly expanding discipline at the interface between engineering and biology. Much research in this area has focused on gene regulatory networks that function as biological switches and oscillators. Here we review the state of the art in the design and construction of oscillators, comparing the features of each of the main networks published to date, the models used for in silico design and validation and, where available, relevant experimental data. Trends are apparent in the ways that network topology constrains oscillator characteristics and dynamics. Also, noise and time delay within the network can both have constructive and destructive roles in generating oscillations, and stochastic coherence is commonplace. This review can be used to inform future work to design and implement new types of synthetic oscillators or to incorporate existing oscillators into new designs.

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Crossref · 10.1098/rsif.2010.0183

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Metadata

Authors
Purcell, O., Savery, N. J., Grierson, C. S., & di Bernardo, M.
Venue
Journal of The Royal Society Interface
Published
2010-06-30
Volume
7
Issue
52
Pages
1503-1524
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2164198234
Cited by
192
References
4
FWCI
5.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A comparative analysis of synthetic genetic oscillators. https://app.cochat.ai/papers/10.1098/rsif.2010.0183
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Purcell, O., Savery, N. J., Grierson, C. S., & di Bernardo, M. (2010). A comparative analysis of synthetic genetic oscillators. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2010.0183

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.