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  <titleInfo>
    <title>Phenomics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Hancock, John M.</namePart>
    <role>
      <roleTerm type="text">editor of compilation.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <genre authority="lcsh">Electronic books.</genre>
  <originInfo>
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    <dateIssued encoding="marc">2014</dateIssued>
    <copyrightDate encoding="marc">2014</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>1 online resource : text file, PDF</extent>
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  <tableOfContents>1. Introduction to "phenomics" / John M. Hancock -- 2. Computational phenotype analysis in human medicine / Peter N. Robinson -- 3. Phenomics of the laboratory mouse / John M. Hancock and Michael S. Dobbie -- 4. Phenotyping zebrafish / Elisabeth M. Busch-Nentwich -- 5. Systematic cell phenotyping / Jean-Karim H�erich�e -- 6. Systematic phenotyping of plant development in Arabidopsis thaliana / Christine Granier, Vincent N�egre and Fabio Fiorani -- 7. Challenges of crop phenomics in the post-genomic era / Vasilis C. Gegas, Alan Gay, Anyela Camargo and John H. Doonan -- 8. Yeast phenomics : large-scale mapping of the genetic basis for organismal traits / Jonas Warringer and Anders Blomberg -- 9. Phenomics in bacteria / Robert J. Nichols and Carol A. Gross -- 10. Phenotype databases / Philip Groth and Bertram Weiss.</tableOfContents>
  <note type="statement of responsibility">editor, John M. Hancock, Department of Physiology, Development and Neuroscience, Cambridge University, Cambridge, UK.</note>
  <note>"A CRC title."</note>
  <note>"A science publishers book."</note>
  <note>Includes bibliographical references and index.</note>
  <note>Also available in print format.</note>
  <subject authority="lcsh">
    <topic>Phenotype</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Genetics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Genomics</topic>
  </subject>
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  <identifier type="isbn">9781466590960 (ebook : PDF)</identifier>
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