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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Prifti, E.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Zucker, Jean-Daniel</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Clément, K.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Henegar, C.</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>FunNet : an integrative tool for exploring transcriptional interactions</title>
        <secondary-title>Bioinformatics</secondary-title>
      </titles>
      <pages>2636-2638</pages>
      <dates>
        <year>2008</year>
      </dates>
      <call-num>fdi:010049801</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Bioinformatics</full-title>
      </periodical>
      <isbn>1367-4803</isbn>
      <accession-num>ISI:000260976100013</accession-num>
      <number>22</number>
      <electronic-resource-num>10.1093/bioinformatics/btn492</electronic-resource-num>
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          <url>https://www.documentation.ird.fr/hor/fdi:010049801</url>
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          <url>https://www.documentation.ird.fr/intranet/publi/depot/2010-06-04/010049801.pdf</url>
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      <volume>24</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>We describe here an exploratory tool, called FunNet, which implements an original systems biology approach, aiming to improve the biological relevance of the modular interaction patterns identified in transcriptional co-expression networks. A suitable analytical model, involving two abstraction layers, has been devised to relate expression profiles to the knowledge on transcripts' biological roles, extracted from genomic databases, into a comprehensive exploratory framework. This approach has been implemented into a user-friendly web tool to promote its open use by the community.</abstract>
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