Your browser doesn't support javascript.
loading
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology.
Domingo-Fernández, Daniel; Baksi, Shounak; Schultz, Bruce; Gadiya, Yojana; Karki, Reagon; Raschka, Tamara; Ebeling, Christian; Hofmann-Apitius, Martin; Kodamullil, Alpha Tom.
Afiliación
  • Domingo-Fernández D; Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
  • Baksi S; Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 53113 Bonn, Germany.
  • Schultz B; Causality Biomodels, KINFRA Hi-Tech Park, Cochin, Kerala 683503, India.
  • Gadiya Y; Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
  • Karki R; Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
  • Raschka T; Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 53113 Bonn, Germany.
  • Ebeling C; Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
  • Hofmann-Apitius M; Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, 53113 Bonn, Germany.
  • Kodamullil AT; Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), 53754 Sankt Augustin, Germany.
Bioinformatics ; 37(9): 1332-1334, 2021 06 09.
Article en En | MEDLINE | ID: mdl-32976572
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / COVID-19 Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / COVID-19 Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Alemania