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A database resource and online analysis tools for coronaviruses on a historical and global scale
The recent outbreak of COVID-19 caused by a new zoonotic origin coronavirus (SARS-CoV-2 or 2019-nCoV) has sound the alarm for the potential spread of epidemic coronavirus crossing species. With the urgent needs to assist disease control and to provide invaluable scientific information, we developed...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665380/ https://www.ncbi.nlm.nih.gov/pubmed/33009914 http://dx.doi.org/10.1093/database/baaa070 |
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author | Zhu, Zhenglin Meng, Kaiwen Liu, Gexin Meng, Geng |
author_facet | Zhu, Zhenglin Meng, Kaiwen Liu, Gexin Meng, Geng |
author_sort | Zhu, Zhenglin |
collection | PubMed |
description | The recent outbreak of COVID-19 caused by a new zoonotic origin coronavirus (SARS-CoV-2 or 2019-nCoV) has sound the alarm for the potential spread of epidemic coronavirus crossing species. With the urgent needs to assist disease control and to provide invaluable scientific information, we developed the coronavirus database (CoVdb), an online genomic, proteomic and evolutionary analysis platform. CoVdb has brought together genomes of more than 5000 coronavirus strains, which were collected from 1941 to 2020, in more than 60 countries and in hosts belonging to more than 30 species, ranging from fish to human. CoVdb presents comprehensive genomic information, such as gene function, subcellular localization, topology and protein structure. To facilitate coronavirus research, CoVdb also provides flexible search approaches and online tools to view and analyze protein structure, to perform multiple alignments, to automatically build phylogenetic trees and to carry on evolutionary analyses. CoVdb can be accessed freely at http://covdb.popgenetics.net. Hopefully, it will accelerate the progress to develop medicines or vaccines to control the pandemic of COVID-19. |
format | Online Article Text |
id | pubmed-7665380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76653802020-11-16 A database resource and online analysis tools for coronaviruses on a historical and global scale Zhu, Zhenglin Meng, Kaiwen Liu, Gexin Meng, Geng Database (Oxford) Original Article The recent outbreak of COVID-19 caused by a new zoonotic origin coronavirus (SARS-CoV-2 or 2019-nCoV) has sound the alarm for the potential spread of epidemic coronavirus crossing species. With the urgent needs to assist disease control and to provide invaluable scientific information, we developed the coronavirus database (CoVdb), an online genomic, proteomic and evolutionary analysis platform. CoVdb has brought together genomes of more than 5000 coronavirus strains, which were collected from 1941 to 2020, in more than 60 countries and in hosts belonging to more than 30 species, ranging from fish to human. CoVdb presents comprehensive genomic information, such as gene function, subcellular localization, topology and protein structure. To facilitate coronavirus research, CoVdb also provides flexible search approaches and online tools to view and analyze protein structure, to perform multiple alignments, to automatically build phylogenetic trees and to carry on evolutionary analyses. CoVdb can be accessed freely at http://covdb.popgenetics.net. Hopefully, it will accelerate the progress to develop medicines or vaccines to control the pandemic of COVID-19. Oxford University Press 2021-08-05 /pmc/articles/PMC7665380/ /pubmed/33009914 http://dx.doi.org/10.1093/database/baaa070 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Zhu, Zhenglin Meng, Kaiwen Liu, Gexin Meng, Geng A database resource and online analysis tools for coronaviruses on a historical and global scale |
title | A database resource and online analysis tools for coronaviruses on a historical and global scale |
title_full | A database resource and online analysis tools for coronaviruses on a historical and global scale |
title_fullStr | A database resource and online analysis tools for coronaviruses on a historical and global scale |
title_full_unstemmed | A database resource and online analysis tools for coronaviruses on a historical and global scale |
title_short | A database resource and online analysis tools for coronaviruses on a historical and global scale |
title_sort | database resource and online analysis tools for coronaviruses on a historical and global scale |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665380/ https://www.ncbi.nlm.nih.gov/pubmed/33009914 http://dx.doi.org/10.1093/database/baaa070 |
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