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gcCov: Linked open data for global coronavirus studies

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...

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Detalles Bibliográficos
Autores principales:	Shi, Wenyu, Fan, Guomei, Shen, Zhihong, Hu, Chuan, Ma, Juncai, Zhou, Yuanchun, Meng, Zhen, Hu, Songnian, Bi, Yuhai, Wang, Liang, Yu, Haiying, Lin, Siru, Sun, Xiuqiang, Zhang, Xinjiao, Liu, Dongmei, Sun, Qinlan, Wu, Linhuan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	Application Note
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9088579/ https://www.ncbi.nlm.nih.gov/pubmed/37731725 http://dx.doi.org/10.1002/mlf2.12008

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