Linking genomic and epidemiologic information to advance the study of COVID-19

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....

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Autores principales: Wang, Yiwei, Yang, Jiaxin, Zhuang, Xinhao, Ling, Yunchao, Cao, Ruifang, Xu, Qingwei, Wang, Peng, Xu, Ping, Zhang, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967863/
https://www.ncbi.nlm.nih.gov/pubmed/35354824
http://dx.doi.org/10.1038/s41597-022-01237-1
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author Wang, Yiwei
Yang, Jiaxin
Zhuang, Xinhao
Ling, Yunchao
Cao, Ruifang
Xu, Qingwei
Wang, Peng
Xu, Ping
Zhang, Guoqing
author_facet Wang, Yiwei
Yang, Jiaxin
Zhuang, Xinhao
Ling, Yunchao
Cao, Ruifang
Xu, Qingwei
Wang, Peng
Xu, Ping
Zhang, Guoqing
author_sort Wang, Yiwei
collection PubMed
description 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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spelling pubmed-89678632022-04-20 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-03-30 /pmc/articles/PMC8967863/ /pubmed/35354824 http://dx.doi.org/10.1038/s41597-022-01237-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Wang, Yiwei
Yang, Jiaxin
Zhuang, Xinhao
Ling, Yunchao
Cao, Ruifang
Xu, Qingwei
Wang, Peng
Xu, Ping
Zhang, Guoqing
Linking genomic and epidemiologic information to advance the study of COVID-19
title Linking genomic and epidemiologic information to advance the study of COVID-19
title_full Linking genomic and epidemiologic information to advance the study of COVID-19
title_fullStr Linking genomic and epidemiologic information to advance the study of COVID-19
title_full_unstemmed Linking genomic and epidemiologic information to advance the study of COVID-19
title_short Linking genomic and epidemiologic information to advance the study of COVID-19
title_sort linking genomic and epidemiologic information to advance the study of covid-19
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967863/
https://www.ncbi.nlm.nih.gov/pubmed/35354824
http://dx.doi.org/10.1038/s41597-022-01237-1
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