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Models of Tet-On System with Epigenetic Effects

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Computational Methods in Systems Biology (CMSB 2012)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 7605))

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Abstract

We present the first results of ongoing work investigating two models of the artificial inducible promoter Tet-On that include epigenetic regulation. We consider chromatin states and 1D diffusion of transcription factors that reveal, respectively, stochastic noise and a memory effect.

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References

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Author information

Authors and Affiliations

  1. PPS (CNRS UMR 7126), University Paris Diderot, France

    Russ Harmer, Jean Krivine & Élise Laruelle

  2. LIFL (CNRS UMR 8022), University of Lille 1, France

    Cédric Lhoussaine, Guillaume Madelaine & Mirabelle Nebut

  3. ÉNS Cachan, France

    Guillaume Madelaine

Authors
  1. Russ Harmer
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  2. Jean Krivine
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  3. Élise Laruelle
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  4. Cédric Lhoussaine
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  5. Guillaume Madelaine
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  6. Mirabelle Nebut
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Editor information

Editors and Affiliations

  1. School of Information Systems, Computing and Mathematics, Brunel University, UB8 3PH, Uxbridge, UK

    David Gilbert

  2. Computer Science Institute, University of Technology, 03013, Cottbus, Germany

    Monika Heiner

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© 2012 Springer-Verlag Berlin Heidelberg

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Harmer, R., Krivine, J., Laruelle, É., Lhoussaine, C., Madelaine, G., Nebut, M. (2012). Models of Tet-On System with Epigenetic Effects. In: Gilbert, D., Heiner, M. (eds) Computational Methods in Systems Biology. CMSB 2012. Lecture Notes in Computer Science(), vol 7605. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33636-2_25

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  • DOI: https://doi.org/10.1007/978-3-642-33636-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33635-5

  • Online ISBN: 978-3-642-33636-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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