COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology

SUMMARY: The COVID-19 crisis has elicited a global response by the scientific community that has led to a burst of publications on the pathophysiology of the virus. However, without coordinated efforts to organize this knowledge, it can remain hidden away from individual research groups. By extracti...

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Detalles Bibliográficos
Autores principales: Domingo-Fernández, Daniel, Baksi, Shounak, Schultz, Bruce, Gadiya, Yojana, Karki, Reagon, Raschka, Tamara, Ebeling, Christian, Hofmann-Apitius, Martin, Kodamullil, Alpha Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558629/
https://www.ncbi.nlm.nih.gov/pubmed/32976572
http://dx.doi.org/10.1093/bioinformatics/btaa834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558629/
https://www.ncbi.nlm.nih.gov/pubmed/32976572
http://dx.doi.org/10.1093/bioinformatics/btaa834

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