Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Zhenglin, Meng, Kaiwen, Liu, Gexin, Meng, Geng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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
_version_ 1783609992609267712
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
work_keys_str_mv AT zhuzhenglin adatabaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale
AT mengkaiwen adatabaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale
AT liugexin adatabaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale
AT menggeng adatabaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale
AT zhuzhenglin databaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale
AT mengkaiwen databaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale
AT liugexin databaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale
AT menggeng databaseresourceandonlineanalysistoolsforcoronavirusesonahistoricalandglobalscale