A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
2020
Patterns
Integrated, up-to-date data about SARS-CoV-2 and COVID-19 is crucial for the ongoing response to the COVID-19 pandemic by the biomedical research community. While rich biological knowledge exists for SARS-CoV-2 and related viruses (SARS-CoV, MERS-CoV), integrating this knowledge is difficult and time consuming, since much of it is in siloed databases or in textual format. Furthermore, the data required by the research community varies drastically for different tasks-the optimal data for a
doi:10.1016/j.patter.2020.100155
pmid:33196056
pmcid:PMC7649624
fatcat:bkoqhgb7mjf7roajxw4ohxuvgu