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Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning

View ORCID ProfileAlejandro Lopez-Rincon, View ORCID ProfileAlberto Tonda, Lucero Mendoza-Maldonado, View ORCID ProfileEric Claassen, View ORCID ProfileJohan Garssen, View ORCID ProfileAletta D. Kraneveld
doi: https://doi.org/10.1101/2020.03.13.990242
Alejandro Lopez-Rincon
1Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, the Netherlands
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  • ORCID record for Alejandro Lopez-Rincon
  • For correspondence: alejandro.lopezrn@hotmail.com
Alberto Tonda
2UMR 518 MIA-Paris, c/o 113 rue Nationale, 75103, Paris, France
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  • ORCID record for Alberto Tonda
Lucero Mendoza-Maldonado
3Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada No. 950, Col. Independencia C.P. 44348 Guadalajara, Jalisco, Mexico
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Eric Claassen
5Athena Institute, Vrije Universiteit, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
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Johan Garssen
1Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, the Netherlands
4Department Immunology, Danone Nutricia research, Uppsalalaan 12, 3584 CT Utrecht, the Netherlands
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Aletta D. Kraneveld
1Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, the Netherlands
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  • ORCID record for Aletta D. Kraneveld
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Posted March 14, 2020.
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Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning
Alejandro Lopez-Rincon, Alberto Tonda, Lucero Mendoza-Maldonado, Eric Claassen, Johan Garssen, Aletta D. Kraneveld
bioRxiv 2020.03.13.990242; doi: https://doi.org/10.1101/2020.03.13.990242
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Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning
Alejandro Lopez-Rincon, Alberto Tonda, Lucero Mendoza-Maldonado, Eric Claassen, Johan Garssen, Aletta D. Kraneveld
bioRxiv 2020.03.13.990242; doi: https://doi.org/10.1101/2020.03.13.990242

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