@misc{indiciae96e1d746043a,
  title = {A versatile and interoperable computational framework for the analysis and modeling of COVID-19 disease mechanisms},
  author = {Niarakis, A. and Ostaszewski, M. and Mazein, A. and Kuperstein, I. and Gillespie, M. E. and Kutmon, M. and Funahashi, A. and Acencio, M. L. and Hemedan, A. and Aichem, M. and Klein, K. and Czauderna, T. and Burtscher, F. and Yamada, T. G. and Hiki, Y. and Hiroi, N. F. and Hu, F. and Pham, N. and Ehrhart, F. and Willighagen, E. L. and Valdeolivas, A. and Dugourd, A. and Messina, F. and Esteban-Medina, M. and Pena-Chilet, M. and Rian, K. and Soliman, S. and Aghamiri, S. S. and Puniya, B. L. and Naldi, A. and Helikar, T. and Singh, V. and Farinas Fernandez, M. and Bermudez, V. and Tsirvouli, E. and Montagud, A. and Noel, V. and Ponce de Leon, M. and Maier, D. and Bauch, A. and Gyori, B. M. and Bachman, J. A. and Luna, A},
  year = {2022},
  doi = {10.1101/2022.12.17.520865},
  url = {https://www.biorxiv.org/content/10.1101/2022.12.17.520865v1},
  note = {Source identifier: 10.1101/2022.12.17.520865}
}