A semi-automated and high-throughput approach for the detection of honey bee viruses in bee samples

• Sofia Levin Nikulin ,

  Roles Conceptualization, Data curation, Formal analysis, Writing – original draft

  * E-mail: nikul005@umn.edu (SLN); dcschroe@umn.edu (DCS)

  Affiliation Department of Entomology, University of Minnesota, Saint Paul, Minnesota, United States of America

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• Poppy J. Hesketh-Best,

  Roles Formal analysis, Investigation, Writing – review & editing

  Affiliation Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, Minnesota, United States of America

  https://orcid.org/0000-0002-0284-6689

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• Dean A. Mckeown,

  Roles Formal analysis, Investigation, Methodology, Writing – review & editing

  Affiliation Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, Minnesota, United States of America

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• Marla Spivak,

  Roles Conceptualization, Formal analysis, Funding acquisition, Writing – review & editing

  Affiliation Department of Entomology, University of Minnesota, Saint Paul, Minnesota, United States of America

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• Declan C. Schroeder

  Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: nikul005@umn.edu (SLN); dcschroe@umn.edu (DCS)

  Affiliation Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, Minnesota, United States of America

  https://orcid.org/0000-0001-5991-2838

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