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Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base
The development of SARS-CoV-2 vaccines during the COVID-19 pandemic has prompted the emergence of COVID-19 vaccine data. Timely access to COVID-19 vaccine information is crucial to researchers and public. To support more comprehensive annotation, integration, and analysis of COVID-19 vaccine informa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716025/ https://www.ncbi.nlm.nih.gov/pubmed/34981039 http://dx.doi.org/10.1016/j.jvacx.2021.100139 |
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author | Huang, Philip C. Goru, Rohit Huffman, Anthony Yu Lin, Asiyah Cooke, Michael F. He, Yongqun |
author_facet | Huang, Philip C. Goru, Rohit Huffman, Anthony Yu Lin, Asiyah Cooke, Michael F. He, Yongqun |
author_sort | Huang, Philip C. |
collection | PubMed |
description | The development of SARS-CoV-2 vaccines during the COVID-19 pandemic has prompted the emergence of COVID-19 vaccine data. Timely access to COVID-19 vaccine information is crucial to researchers and public. To support more comprehensive annotation, integration, and analysis of COVID-19 vaccine information, we have developed Cov19VaxKB, a knowledge-focused COVID-19 vaccine database (http://www.violinet.org/cov19vaxkb/). Cov19VaxKB features comprehensive lists of COVID-19 vaccines, vaccine formulations, clinical trials, publications, news articles, and vaccine adverse event case reports. A web-based query interface enables comparison of product information and host responses among various vaccines. The knowledge base also includes a vaccine design tool for predicting vaccine targets and a statistical analysis tool that identifies enriched adverse events for FDA-authorized COVID-19 vaccines based on VAERS case report data. To support data exchange, Cov19VaxKB is synchronized with Vaccine Ontology and the Vaccine Investigation and Online Information Network (VIOLIN) database. The data integration and analytical features of Cov19VaxKB can facilitate vaccine research and development while also serving as a useful reference for the public. |
format | Online Article Text |
id | pubmed-8716025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87160252021-12-30 Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base Huang, Philip C. Goru, Rohit Huffman, Anthony Yu Lin, Asiyah Cooke, Michael F. He, Yongqun Vaccine X Regular paper The development of SARS-CoV-2 vaccines during the COVID-19 pandemic has prompted the emergence of COVID-19 vaccine data. Timely access to COVID-19 vaccine information is crucial to researchers and public. To support more comprehensive annotation, integration, and analysis of COVID-19 vaccine information, we have developed Cov19VaxKB, a knowledge-focused COVID-19 vaccine database (http://www.violinet.org/cov19vaxkb/). Cov19VaxKB features comprehensive lists of COVID-19 vaccines, vaccine formulations, clinical trials, publications, news articles, and vaccine adverse event case reports. A web-based query interface enables comparison of product information and host responses among various vaccines. The knowledge base also includes a vaccine design tool for predicting vaccine targets and a statistical analysis tool that identifies enriched adverse events for FDA-authorized COVID-19 vaccines based on VAERS case report data. To support data exchange, Cov19VaxKB is synchronized with Vaccine Ontology and the Vaccine Investigation and Online Information Network (VIOLIN) database. The data integration and analytical features of Cov19VaxKB can facilitate vaccine research and development while also serving as a useful reference for the public. Elsevier 2021-12-28 /pmc/articles/PMC8716025/ /pubmed/34981039 http://dx.doi.org/10.1016/j.jvacx.2021.100139 Text en © 2022 University of Michigan https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular paper Huang, Philip C. Goru, Rohit Huffman, Anthony Yu Lin, Asiyah Cooke, Michael F. He, Yongqun Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base |
title | Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base |
title_full | Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base |
title_fullStr | Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base |
title_full_unstemmed | Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base |
title_short | Cov19VaxKB: A web-based integrative COVID-19 vaccine knowledge base |
title_sort | cov19vaxkb: a web-based integrative covid-19 vaccine knowledge base |
topic | Regular paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716025/ https://www.ncbi.nlm.nih.gov/pubmed/34981039 http://dx.doi.org/10.1016/j.jvacx.2021.100139 |
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