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Early detection of emerging SARS-CoV-2 variants of interest for experimental evaluation.
Wallace, Zachary S; Davis, James; Niewiadomska, Anna Maria; Olson, Robert D; Shukla, Maulik; Stevens, Rick; Zhang, Yun; Zmasek, Christian M; Scheuermann, Richard H.
Afiliación
  • Wallace ZS; Department of Informatics, J. Craig Venter Institute, La Jolla, CA, United States.
  • Davis J; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, United States.
  • Niewiadomska AM; Division of Data Science and Learning, Argonne National Laboratory, Lemont, IL, United States.
  • Olson RD; University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, United States.
  • Shukla M; Department of Informatics, J. Craig Venter Institute, La Jolla, CA, United States.
  • Stevens R; Division of Data Science and Learning, Argonne National Laboratory, Lemont, IL, United States.
  • Zhang Y; University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, United States.
  • Zmasek CM; Division of Data Science and Learning, Argonne National Laboratory, Lemont, IL, United States.
  • Scheuermann RH; University of Chicago Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, United States.
Front Bioinform ; 2: 1020189, 2022.
Article en En | MEDLINE | ID: mdl-36353215
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Front Bioinform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Front Bioinform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos