A Statistical Approach Reveals Designs for the Most Robust Stochastic Gene Oscillators-Reference-Cited by-同舟云学术

A Statistical Approach Reveals Designs for the Most Robust Stochastic Gene Oscillators

Published:2016-02-17 Issue:6 Volume:5 Page:459-470
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Woods Mae L.¹,Leon Miriam¹,Perez-Carrasco Ruben¹,Barnes Chris P.¹

Affiliation:

1. Department of Cell and Developmental Biology, ‡Department of Mathematics, and ¶Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, U.K.

Funder

Wellcome Trust

University College London

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acssynbio.5b00179

Reference74 articles.

1. A wise consistency: engineering biology for conformity, reliability, predictability

2. Robustness in simple biochemical networks

3. Robustness of Cellular Functions

4. Dynamic Properties of Network Motifs Contribute to Biological Network Organization

5. Robustness analysis of biochemical network models

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