ShanghaiTech University Knowledge Management System
| Linking genomic and epidemiologic information to advance the study of COVID-19 | |
| 2022-03-30 | |
| 发表期刊 | SCIENTIFIC DATA
 |
| EISSN | 2052-4463 |
| 卷号 | 9期号:1 |
| 发表状态 | 已发表 |
| DOI | 10.1038/s41597-022-01237-1 |
| 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. |
| URL | 查看原文 |
| 收录类别 | SCIE |
| 语种 | 英语 |
| Scopus 记录号 | 2-s2.0-85127256589 |
| 来源库 | Scopus |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/176077 |
| 专题 | 生命科学与技术学院_特聘教授组_王鹏组 |
| 通讯作者 | Wang, Peng; Xu, Ping; Zhang, Guoqing |
| 作者单位 | 1.Shanghai Information Center for Life Sciences,Shanghai Institute of Nutrition and Health,University of Chinese Academy of Sciences,Chinese Academy of Sciences,Shanghai,200031,China 2.National Genomics Data Center,CAS Key Laboratory of Computational Biology,Bio-Med Big Data Center,Shanghai Institute of Nutrition and Health,University of Chinese Academy of Sciences,Chinese Academy of Sciences,Shanghai,200031,China 3.School of Life Science and Technology,ShanghaiTech University,Shanghai,200031,China 4.College of Computer,Hubei University of Education,Wuhan,#129 Second Gaoxin Road, East Lake Hi-Tech Zone,430205,China |
| 通讯作者单位 | 生命科学与技术学院 |
| 推荐引用方式 GB/T 7714 | Wang, Yiwei,Yang, Jiaxin,Zhuang, Xinhao,et al. Linking genomic and epidemiologic information to advance the study of COVID-19[J]. SCIENTIFIC DATA,2022,9(1). |
| APA | Wang, Yiwei.,Yang, Jiaxin.,Zhuang, Xinhao.,Ling, Yunchao.,Cao, Ruifang.,...&Zhang, Guoqing.(2022).Linking genomic and epidemiologic information to advance the study of COVID-19.SCIENTIFIC DATA,9(1). |
| MLA | Wang, Yiwei,et al."Linking genomic and epidemiologic information to advance the study of COVID-19".SCIENTIFIC DATA 9.1(2022). |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
修改评论
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。