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Linking genomic and epidemiologic information to advance the study of COVID-19.
Wang, Yiwei; Yang, Jiaxin; Zhuang, Xinhao; Ling, Yunchao; Cao, Ruifang; Xu, Qingwei; Wang, Peng; Xu, Ping; Zhang, Guoqing.
  • Wang Y; 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.
  • Yang J; 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.
  • Zhuang X; 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.
  • Ling Y; 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.
  • Cao R; 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.
  • Xu Q; College of Computer, Hubei University of Education, #129 Second Gaoxin Road, East Lake Hi-Tech Zone, Wuhan, 430205, China.
  • Wang P; 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. wangpeng@picb.ac.cn.
  • Xu P; School of Life Science and Technology, ShanghaiTech University, Shanghai, 200031, China. wangpeng@picb.ac.cn.
  • Zhang G; 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. xuping@sibs.ac.cn.
Sci Data ; 9(1): 121, 2022 03 30.
Article in English | MEDLINE | ID: covidwho-1768837
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01237-1

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01237-1