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

Domingo‐Fernándéz, Daniel; Baksi, Shounak; Schultz, Bruce; Gadiya, Yojana; Karki, Reagon; Raschka, Tamara; Ebeling, Christian; Hofmann‐Apitius, Martin; Tom Kodamullil, Alpha

doi:10.1093/bioinformatics/btaa834

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

Published in Bioinformatics • Sep 11, 2020

Authors:

Daniel Domingo‐Fernándéz

Shounak Baksi

Bruce Schultz

Abstract

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...

Subject

Computer science

Coronavirus disease 2019 (COVID-19)

Expansive

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