COVID-19 SIGNOR dataset Version 2
External LinkCOVID-19 Causal Networks: The SIGNOR team has curated the causal relationships that, according to available evidence, are likely to be relevant for the COVID-19 pathology. The perturbations caused by viral infection are integrated into the cell networks. Evidence obtained using related human coronaviruses diseases such as SARS and MERS are also mapped to the networks. Most of these are indirect relationships as few mechanistic details are clarified to date. As new evidence will be published, it will be added to the networks.
SEEK ID: https://fairdomhub.org/models/738?version=2
1 item (and an image) are associated with this Model:-
https://signor.uniroma2.it/covid/ (Website)
Organism: Homo sapiens
Model type: Graphical model
Model format: Not specified
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Marta Iannuccelli, University of Rome Tor Vergata, IT
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Views: 846
Created: 26th Jun 2020 at 09:38
Last updated: 29th Jun 2020 at 15:31
Last used: 22nd May 2022 at 08:08
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Version 2 (latest) Created 26th Jun 2020 at 09:40 by Marek Ostaszewski
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Projects: COVID-19 Disease Map
Institutions: University of Rome Tor Vergata
https://orcid.org/0000-0003-1473-370XScientific Project Manager at Luxembourg Centre for Systems Biomedicine, University of Luxembourg http://lcsb.uni.lu
The Disease Maps Project is designed as a large-scale community effort. It is a network of groups that work together in order to better understand disease mechanisms. The project exchanges best practices, share information, develop tools to make it easier for all the involved groups to achieve their goals.
Projects: COVID-19 Disease Map
Web page: https://disease-maps.org
Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.
Programme: Disease Maps
Public web page: http://doi.org/10.17881/covid19-disease-map
