KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

Summary: 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 difficul...

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Bibliographic Details
Main Authors: Justin T. Reese, Deepak Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent A. Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Patterns
Subjects:
COVID-19
SARS-CoV-2
SARS-CoV
MERS-CoV
coronavirus
knowledge graph
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389920302038

Internet

http://www.sciencedirect.com/science/article/pii/S2666389920302038

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