Mercatelli, Daniele, Holding, Andrew Nicholas orcid.org/0000-0002-8459-7048 and Giorgi, Federico M (2021) Web tools to fight pandemics:the COVID-19 experience. Briefings in bioinformatics. pp. 690-700. ISSN 1477-4054
Abstract
The current outbreak of COVID-19 has generated an unprecedented scientific response worldwide, with the generation of vast amounts of publicly available epidemiological, biological and clinical data. Bioinformatics scientists have quickly produced online methods to provide non-computational users with the opportunity of analyzing such data. In this review, we report the results of this effort, by cataloguing the currently most popular web tools for COVID-19 research and analysis. Our focus was driven on tools drawing data from the fields of epidemiology, genomics, interactomics and pharmacology, in order to provide a meaningful depiction of the current state of the art of COVID-19 online resources.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2020 |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 02 Jul 2021 09:40 |
Last Modified: | 31 Oct 2024 01:03 |
Published Version: | https://doi.org/10.1093/bib/bbaa261 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1093/bib/bbaa261 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175842 |
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Description: Web tools to fight pandemics: the COVID-19 experience