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The Effect of Compositional Context on Synthetic Gene Networks

Enoch Yeung, Aaron J. Dy, Kyle B. Martin, Andrew H. Ng, Domitilla Del Vecchio, James L. Beck, James J. Collins, Richard M. Murray
doi: https://doi.org/10.1101/083329
Enoch Yeung
1Control & Dynamical Systems, Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125;
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  • For correspondence: eyeung@caltech.edu
Aaron J. Dy
2Institute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139;
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Kyle B. Martin
3Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125;
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Andrew H. Ng
4Department of Bioengineering, University of California Berkeley, Berkeley, CA 94709;
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Domitilla Del Vecchio
5Department of Mechanical Engineering, Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139;
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James L. Beck
6Department of Civil and Mechanical Engineering, California Institute of Technology, Pasadena, CA;
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James J. Collins
2Institute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139;
7Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02115;
8Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02115;
9Broad Institute of MIT and Harvard, Cambridge, MA 02142;
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Richard M. Murray
1Control & Dynamical Systems, Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125;
3Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125;
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Article Information

doi 
https://doi.org/10.1101/083329
History 
  • November 30, 2016.

Article Versions

  • Version 1 (October 25, 2016 - 14:46).
  • You are viewing Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Enoch Yeung1,*,
  2. Aaron J. Dy2,
  3. Kyle B. Martin3,
  4. Andrew H. Ng4,
  5. Domitilla Del Vecchio5,
  6. James L. Beck6,
  7. James J. Collins2,7,8,9 and
  8. Richard M. Murray1,3
  1. 1Control & Dynamical Systems, Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125;
  2. 2Institute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139;
  3. 3Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125;
  4. 4Department of Bioengineering, University of California Berkeley, Berkeley, CA 94709;
  5. 5Department of Mechanical Engineering, Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139;
  6. 6Department of Civil and Mechanical Engineering, California Institute of Technology, Pasadena, CA;
  7. 7Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02115;
  8. 8Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02115;
  9. 9Broad Institute of MIT and Harvard, Cambridge, MA 02142;
  1. ↵*To whom correspondence should be addressed. email: eyeung{at}caltech.edu
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Posted November 30, 2016.
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The Effect of Compositional Context on Synthetic Gene Networks
Enoch Yeung, Aaron J. Dy, Kyle B. Martin, Andrew H. Ng, Domitilla Del Vecchio, James L. Beck, James J. Collins, Richard M. Murray
bioRxiv 083329; doi: https://doi.org/10.1101/083329
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The Effect of Compositional Context on Synthetic Gene Networks
Enoch Yeung, Aaron J. Dy, Kyle B. Martin, Andrew H. Ng, Domitilla Del Vecchio, James L. Beck, James J. Collins, Richard M. Murray
bioRxiv 083329; doi: https://doi.org/10.1101/083329

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