March 26, 2021 Software Open Access

Hong, Mun-Gwan; Thomas, Cecilia E; Dodig-Crnković, Tea; Christian, Murray; Murrell, Ben; Schwenk, Jochen M

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  <dc:creator>Hong, Mun-Gwan</dc:creator>
  <dc:creator>Thomas, Cecilia E</dc:creator>
  <dc:creator>Dodig-Crnković, Tea</dc:creator>
  <dc:creator>Christian, Murray</dc:creator>
  <dc:creator>Murrell, Ben</dc:creator>
  <dc:creator>Schwenk, Jochen M</dc:creator>
  <dc:date>2021-03-26</dc:date>
  <dc:description>  </dc:description>
  <dc:identifier>https://zenodo.org/record/4638597</dc:identifier>
  <dc:identifier>10.5281/zenodo.4638597</dc:identifier>
  <dc:identifier>oai:zenodo.org:4638597</dc:identifier>
  <dc:relation>url:https://github.com/Schwenk-Lab/covid19-serology/tree/v1.0.0</dc:relation>
  <dc:relation>doi:10.5281/zenodo.4638596</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:title>Multianalyte serology in home-sampled blood enables an unbiased assessment of the immune response against SARS-CoV-2</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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