2020
DOI: 10.1101/2020.08.17.254839
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Abstract: Integrated, up-to-date data about SARS-CoV-2 and coronavirus disease 2019 (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 dat… Show more

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Cited by 7 publications
(4 citation statements)
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“…In an effort to maximize our data usefulness and grow the knowledge graph faster, we plan to offer mappings and conversions between our data and the KGX/Biolink ecosystem (Biolink, 2020). For instance, we are investigating methods to ingest the covid-19-kg produced by the Berkely Lab (Reese et al, 2020) and integrate it into the KnetMiner platform. This is work that will be conducted within the COVID-19 international research team (COV-IRT).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In an effort to maximize our data usefulness and grow the knowledge graph faster, we plan to offer mappings and conversions between our data and the KGX/Biolink ecosystem (Biolink, 2020). For instance, we are investigating methods to ingest the covid-19-kg produced by the Berkely Lab (Reese et al, 2020) and integrate it into the KnetMiner platform. This is work that will be conducted within the COVID-19 international research team (COV-IRT).…”
Section: Discussionmentioning
confidence: 99%
“…Such biological concepts can include, but are not limited to, genes, drugs, diseases, and publications. There have been a few parallel efforts to construct KGs from COVID-19 data (Reese et al, 2020). These mostly differ in data coverage and modelling approaches and would require further work to be made usable by KnetMiner.…”
Section: Introductionmentioning
confidence: 99%
“…KG-COVID-19 provides a knowledge graph for COVID-19 and SARS-COV-2. 31 It's designed to support the translation of COVID-19 and SARS-COV-2 datasets into a knowledge graph for machine learning.…”
Section: Othermentioning
confidence: 99%
“…The coronavirus disease (COVID-19), a type of pneumonia caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) was known in December 2019 [1]. The patients showed typical symptoms such as fever, cough, fatigue, and even respiratory failure [2,3] especially for high-risk people with chronic disease or decreased immunity [4]. With extremely high infectiousness, COVID-19 con rmed cases have accumulated to 83,597 in China till April 13, 2020 [5].…”
Section: Introductionmentioning
confidence: 99%