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An innovative user-friendly platform for Covid-19 pandemic databases and resources
BACKGROUND: The current coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global outbreak of a disease from a new coronavirus. Several databases have been published on this pandemic, but the research community still needs an easy way to...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465267/ https://www.ncbi.nlm.nih.gov/pubmed/34604832 http://dx.doi.org/10.1016/j.cmpbup.2021.100031 |
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author | Ullah, Shahid Ullah, Anees Rahman, Wajeeha Ullah, Farhan Khan, Sher Bahadar Ahmad, Gulzar Ijaz, Muhammad Gao, Tianshun |
author_facet | Ullah, Shahid Ullah, Anees Rahman, Wajeeha Ullah, Farhan Khan, Sher Bahadar Ahmad, Gulzar Ijaz, Muhammad Gao, Tianshun |
author_sort | Ullah, Shahid |
collection | PubMed |
description | BACKGROUND: The current coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global outbreak of a disease from a new coronavirus. Several databases have been published on this pandemic, but the research community still needs an easy way to get comprehensive information on COVID-19. OBJECTIVES: COVID-19 pandemic database (CO-19 PDB) aims to provide wonderful insights for COVID-19 researchers with the well-gathered of all the COVID-19 data to one platform, which is a global challenge for the research community these days. METHODS: We gathered 59 updated databases since December-2019 until May 2021 and divided them into six categories: digital image database, genomic database, literature database, visualization tools database, chemical structure database, and social science database. These categories focus on taking number of functions from the images, information from gene sequences, updates from relevant papers, essays, reports, articles, and books, the data or information in the form of maps, graphs, and charts, information of bonds between atoms, and updates about events of the physical and social environment, respectively. RESULTS: Users can search the information of interest in two ways including typing the name of the database in the search bar or by clicking the right category directly. Computer languages such as CSS, PHP, HTML, Java, etc. are utilized to construct CO-19 PDB. CONCLUSION: This article attempts to compile up-to-date appropriate COVID-19 datasets and resources that have not been compiled and given in such an accessible and user-friendly manner. As a result, the CO-19 PDB offers extensive open data sharing for both worldwide research communities and local people. Further, we have planned future development of new features, that will be awesome for future study. |
format | Online Article Text |
id | pubmed-8465267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84652672021-09-27 An innovative user-friendly platform for Covid-19 pandemic databases and resources Ullah, Shahid Ullah, Anees Rahman, Wajeeha Ullah, Farhan Khan, Sher Bahadar Ahmad, Gulzar Ijaz, Muhammad Gao, Tianshun Comput Methods Programs Biomed Update Article BACKGROUND: The current coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global outbreak of a disease from a new coronavirus. Several databases have been published on this pandemic, but the research community still needs an easy way to get comprehensive information on COVID-19. OBJECTIVES: COVID-19 pandemic database (CO-19 PDB) aims to provide wonderful insights for COVID-19 researchers with the well-gathered of all the COVID-19 data to one platform, which is a global challenge for the research community these days. METHODS: We gathered 59 updated databases since December-2019 until May 2021 and divided them into six categories: digital image database, genomic database, literature database, visualization tools database, chemical structure database, and social science database. These categories focus on taking number of functions from the images, information from gene sequences, updates from relevant papers, essays, reports, articles, and books, the data or information in the form of maps, graphs, and charts, information of bonds between atoms, and updates about events of the physical and social environment, respectively. RESULTS: Users can search the information of interest in two ways including typing the name of the database in the search bar or by clicking the right category directly. Computer languages such as CSS, PHP, HTML, Java, etc. are utilized to construct CO-19 PDB. CONCLUSION: This article attempts to compile up-to-date appropriate COVID-19 datasets and resources that have not been compiled and given in such an accessible and user-friendly manner. As a result, the CO-19 PDB offers extensive open data sharing for both worldwide research communities and local people. Further, we have planned future development of new features, that will be awesome for future study. The Authors. Published by Elsevier B.V. 2021 2021-09-26 /pmc/articles/PMC8465267/ /pubmed/34604832 http://dx.doi.org/10.1016/j.cmpbup.2021.100031 Text en © 2021 The Authors. Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ullah, Shahid Ullah, Anees Rahman, Wajeeha Ullah, Farhan Khan, Sher Bahadar Ahmad, Gulzar Ijaz, Muhammad Gao, Tianshun An innovative user-friendly platform for Covid-19 pandemic databases and resources |
title | An innovative user-friendly platform for Covid-19 pandemic databases and resources |
title_full | An innovative user-friendly platform for Covid-19 pandemic databases and resources |
title_fullStr | An innovative user-friendly platform for Covid-19 pandemic databases and resources |
title_full_unstemmed | An innovative user-friendly platform for Covid-19 pandemic databases and resources |
title_short | An innovative user-friendly platform for Covid-19 pandemic databases and resources |
title_sort | innovative user-friendly platform for covid-19 pandemic databases and resources |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465267/ https://www.ncbi.nlm.nih.gov/pubmed/34604832 http://dx.doi.org/10.1016/j.cmpbup.2021.100031 |
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