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  • [\'Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.\', \'Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.\', \'Immunitrack ApS, Copenhagen, Denmark.\', \'INTAVIS Peptide Services GmbH & Co.KG, Waldhäuser Str. 64, 72076, Tübingen, Germany.\', \'Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.\', \'Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. frederik.otzen.bagger@regionh.dk.\', \'Department of Biomedicine, UKBB Universitats-Kinderspital, Basel, 4031, Basel, Switzerland. frederik.otzen.bagger@regionh.dk.\', \'Swiss Institute of Bioinformatics, Basel, 4053, Basel, Switzerland. frederik.otzen.bagger@regionh.dk.\']
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  • 10.1038/s41598-020-77466-4
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  • Scientific reports
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  • 33235258
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  • Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools.
?:type
?:year
  • 2020

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