gcCov: Linked open data for global coronavirus studies.

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

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.

Afiliação

Shi W; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Fan G; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Shen Z; Computer Network Information Center, Chinese Academy of Sciences Beijing China.
Hu C; Computer Network Information Center, Chinese Academy of Sciences Beijing China.
Ma J; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Zhou Y; State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Meng Z; Computer Network Information Center, Chinese Academy of Sciences Beijing China.
Hu S; Computer Network Information Center, Chinese Academy of Sciences Beijing China.
Bi Y; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Wang L; State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Yu H; CAS Key Laboratory of Pathogenic Microbiology & Immunology, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Lin S; CAS Key Laboratory of Pathogenic Microbiology & Immunology, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Sun X; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Zhang X; State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Liu D; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Sun Q; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Wu L; Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.

mLife ; 1(1): 92-95, 2022 Mar.

Article em En | MEDLINE | ID: mdl-37731725

ABSTRACT

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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MLife Ano de publicação: 2022 Tipo de documento: Article