gcCov: Linked open data for global coronavirus studies.
mLife
; 1(1): 92-95, 2022 Mar.
Article
em En
| MEDLINE
| ID: mdl-37731725
ABSTRACT
We present a method of mapping data from publicly available genomics and publication resources to the Resource Description Framework (RDF) and implement a server to publish linked open data (LOD). As one of the largest and most comprehensive semantic databases about coronaviruses, the resulted gcCov database demonstrates the capability of using data in the LOD framework to promote correlations between genotypes and phenotypes. These correlations will be helpful for future research on fundamental viral mechanisms and drug and vaccine designs. These LOD with 62,168,127 semantic triplets and their visualizations are freely accessible through gcCov at https//nmdc.cn/gccov/.
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1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
MLife
Ano de publicação:
2022
Tipo de documento:
Article