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

Daniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann-Apitius, Alpha Tom Kodamullil. COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology. Bioinformatics, 37(9):1332-1334, 2021. [doi]

@article{Domingo-Fernandez21,
  title = {COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology},
  author = {Daniel Domingo-Fernández and Shounak Baksi and Bruce Schultz and Yojana Gadiya and Reagon Karki and Tamara Raschka and Christian Ebeling and Martin Hofmann-Apitius and Alpha Tom Kodamullil},
  year = {2021},
  doi = {10.1093/bioinformatics/btaa834},
  url = {https://doi.org/10.1093/bioinformatics/btaa834},
  researchr = {https://researchr.org/publication/Domingo-Fernandez21},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {37},
  number = {9},
  pages = {1332-1334},
}