| Linking genomic and epidemiologic information to advance the study of COVID-19 |
| 論文作者 |
Wang, YW; Yang, JX; Zhuang, XH; Ling, YC; Cao, RF; Xu, QW; Wang, P; Xu, P; Zhang, GQ |
| 期刊/會(huì)議名稱 |
SCIENTIFIC DATA |
| 論文年度 |
2022 |
| 論文類別 |
Article |
| 摘要 |
The outbreak of Coronavirus Disease 2019 (COVID-19) at the end of 2019 turned into a global pandemic. To help analyze the spread and evolution of the virus, we collated and analyzed data related to the viral genome, sequence variations, and locations in temporal and spatial distribution from GISAID. Information from the Wikipedia web page and published research papers were categorized and mined to extract epidemiological data, which was then integrated with the public dataset. Genomic and epidemiological data were matched with public information, and the data quality was verified by manual curation. Finally, an online database centered on virus genomic information and epidemiological data can be freely accessible at https://www.biosino.org/kgcov/, which is helpful to identify relevant knowledge and devising epidemic prevention and control policies in collaboration with disease control personnel. |
| 期 |
1 |
| 卷 |
9 |
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