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Stochastic exit from mitosis in budding yeast

Model predictions and experimental observations

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Pages 999-1009 | Published online: 15 Mar 2011

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David Ball, Neil Adames, Nadine Reischmann, Debashis Barik, Christopher Franck, John J. Tyson & Jean Peccoud. (2013) Measurement and modeling of transcriptional noise in the cell cycle regulatory network. Cell Cycle 12:19, pages 3392-3407.
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Teeraphan Laomettachit, Pavel Kraikivski & John J. Tyson. (2022) A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle. Scientific Reports 12:1.
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Jenna E. Gallegos, Neil R. Adames, Mark F. Rogers, Pavel Kraikivski, Aubrey Ibele, Kevin Nurzynski-Loth, Eric Kudlow, T. M. Murali, John J. Tyson & Jean Peccoud. (2020) Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants. npj Systems Biology and Applications 6:1.
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Thierry D. G. A. Mondeel, Oleksandr Ivanov, Hans V. Westerhoff, Wolfram Liebermeister & Matteo Barberis. (2020) Clb3-centered regulations are recurrent across distinct parameter regions in minimal autonomous cell cycle oscillator designs. npj Systems Biology and Applications 6:1.
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Mansooreh Ahmadian, John J. Tyson, Jean Peccoud & Yang Cao. (2020) A hybrid stochastic model of the budding yeast cell cycle. npj Systems Biology and Applications 6:1.
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Mansooreh Ahmadian, John J. Tyson & Yang Cao. (2019) A stochastic model of size control in the budding yeast cell cycle. BMC Bioinformatics 20:S12.
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Didier Gonze, Claude Gérard, Benjamin Wacquier, Aurore Woller, Alen Tosenberger, Albert Goldbeter & Geneviève Dupont. (2018) Modeling-Based Investigation of the Effect of Noise in Cellular Systems. Frontiers in Molecular Biosciences 5.
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Mark T. Mc Auley, Kathleen M. Mooney & J. Enrique Salcedo-Sora. (2016) Computational modelling folate metabolism and DNA methylation: implications for understanding health and ageing. Briefings in Bioinformatics, pages bbw116.
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Debashis Barik, David A. Ball, Jean Peccoud & John J. Tyson. (2016) A Stochastic Model of the Yeast Cell Cycle Reveals Roles for Feedback Regulation in Limiting Cellular Variability. PLOS Computational Biology 12:12, pages e1005230.
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Shuo Wang, Mansooreh Ahmadian, Minghan Chen, John Tyson & Young Cao. (2016) A Hybrid Stochastic Model of the Budding Yeast Cell Cycle Control Mechanism. A Hybrid Stochastic Model of the Budding Yeast Cell Cycle Control Mechanism.
Teeraphan Laomettachit, Katherine C. Chen, William T. Baumann & John J. Tyson. (2016) A Model of Yeast Cell-Cycle Regulation Based on a Standard Component Modeling Strategy for Protein Regulatory Networks. PLOS ONE 11:5, pages e0153738.
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Tae-Hyuk Ahn, Adrian Sandu, Layne T. Watson, Clifford A. Shaffer, Yang Cao & William T. Baumann. (2014) A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations. International Journal of Parallel Programming 43:4, pages 597-630.
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Tae-Hyuk Ahn, Xiaoying Han & Adrian Sandu. (2015) IMPLICIT SIMULATION METHODS FOR STOCHASTIC CHEMICAL KINETICS. Journal of Applied Analysis & Computation 5:3, pages 420-452.
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David A. Ball, Matthew W. Lux, Neil R. Adames & Jean Peccoud. (2014) Adaptive Imaging Cytometry to Estimate Parameters of Gene Networks Models in Systems and Synthetic Biology. PLoS ONE 9:9, pages e107087.
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Matteo Barberis. 2012. Advances in Systems Biology. Advances in Systems Biology 135 167 .
P. Anbumathi, Sharad Bhartiya & K. V. Venkatesh. (2011) Mathematical modeling of fission yeast Schizosaccharomyces pombe cell cycle: exploring the role of multiple phosphatases. Systems and Synthetic Biology 5:3-4, pages 115-129.
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David A. Ball, Julie Marchand, Magaly Poulet, William T. Baumann, Katherine C. Chen, John J. Tyson & Jean Peccoud. (2011) Oscillatory Dynamics of Cell Cycle Proteins in Single Yeast Cells Analyzed by Imaging Cytometry. PLoS ONE 6:10, pages e26272.
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