Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1474-760X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models ; volume:21 ; number:1 ; day:23 ; month:12 ; year:2020 ; pages:1-26 ; date:12.2020
Genome biology ; 21, Heft 1 (23.12.2020), 1-26, 12.2020
- Urheber
-
Garvin, Michael R.
T. Prates, Erica
Pavicic, Mirko
Jones, Piet
Amos, B. Kirtley
Geiger, Armin
Shah, Manesh B.
Streich, Jared
Felipe Machado Gazolla, Joao Gabriel
Kainer, David
Cliff, Ashley
Romero, Jonathon
Keith, Nathan
Brown, James B.
Jacobson, Daniel
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13059-020-02191-0
- URN
-
urn:nbn:de:101:1-2021013113255010748776
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
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Beteiligte
- Garvin, Michael R.
- T. Prates, Erica
- Pavicic, Mirko
- Jones, Piet
- Amos, B. Kirtley
- Geiger, Armin
- Shah, Manesh B.
- Streich, Jared
- Felipe Machado Gazolla, Joao Gabriel
- Kainer, David
- Cliff, Ashley
- Romero, Jonathon
- Keith, Nathan
- Brown, James B.
- Jacobson, Daniel
- SpringerLink (Online service)
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