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SimEvolv: a population genetics simulation software to study the evolutionary properties of complex genetic architectures

RÜNNEBURGER, Estelle; LE ROUZIC, Arnaud


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  <identifier identifierType="DOI">10.5281/zenodo.164420</identifier>
  <creators>
    <creator>
      <creatorName>RÜNNEBURGER, Estelle</creatorName>
      <givenName>Estelle</givenName>
      <familyName>RÜNNEBURGER</familyName>
      <affiliation>EGCE, CNRS-IRD-Univ Paris-Sud</affiliation>
    </creator>
    <creator>
      <creatorName>LE ROUZIC, Arnaud</creatorName>
      <givenName>Arnaud</givenName>
      <familyName>LE ROUZIC</familyName>
      <affiliation>EGCE, CNRS-IRD-Univ Paris-Sud</affiliation>
    </creator>
  </creators>
  <titles>
    <title>SimEvolv: a population genetics simulation software to study the evolutionary properties of complex genetic architectures</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>Stochastic simulations, Population genetics, Gene network, Wagner model</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-11-02</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/164420</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsNewVersionOf">10.5281/zenodo.51397</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opensource.org/licenses/GPL-2.0">GNU General Public License v2.0 only</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This C++ software is a population genetics tool able to simulate the evolution of complex genetic architectures.&lt;/p&gt;

&lt;p&gt;This version is a development version from which the results of the manuscript "How and why genetic canalization evolves in regulatory gene networks" (in prep) have been obtained.&lt;/p&gt;

&lt;p&gt;The data file corresponds to the simulation results.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["R\u00fcnneburger, E. and Le Rouzic, A. Why and how genetic canalization evolves in gene regulatory networks. BMC Evol Biol, in press."]}</description>
  </descriptions>
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