Conference paper Open Access

Cybergenetics: Theory and Methods for Genetic Control System

Khammash, Mustafa; di Bernardo, Mario; di Bernardo, Diego


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  <identifier identifierType="URL">https://zenodo.org/record/4836226</identifier>
  <creators>
    <creator>
      <creatorName>Khammash, Mustafa</creatorName>
      <givenName>Mustafa</givenName>
      <familyName>Khammash</familyName>
      <affiliation>Faculty of Biosystems Science and Engineering, ETH Zurich, Switzerland</affiliation>
    </creator>
    <creator>
      <creatorName>di Bernardo, Mario</creatorName>
      <givenName>Mario</givenName>
      <familyName>di Bernardo</familyName>
      <affiliation>Faculty of Engineering, University of Bristol, UK</affiliation>
    </creator>
    <creator>
      <creatorName>di Bernardo, Diego</creatorName>
      <givenName>Diego</givenName>
      <familyName>di Bernardo</familyName>
      <affiliation>Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Cybergenetics: Theory and Methods for Genetic Control System</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-03-12</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4836226</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.3929/ethz-b-000408323</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This tutorial article gives an overview of the theory and design tools for the real-time control of living cells. The theoretical, computational, and experimental tools and technologies utilized for achieving such control make up a new and exciting area of study at the interface between control theory and synthetic biology, to which we refer as Cybergenetics. This article (along with [1]) accompany a tutorial session on Cybergenetics, that is intended to introduce control scientists and engineers to the different ways living cells can be controlled, and to the many opportunities for future developments-both theoretical and practical--that such control brings about.&lt;/p&gt;</description>
    <description descriptionType="Other">This is a preprint of the conference paper published in "2019 IEEE 58th Conference on Decision and Control (CDC)"</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/766840/">766840</awardNumber>
      <awardTitle>Control Engineering of Biological Systems for Reliable Synthetic Biology Applications</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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