Web tools to fight pandemics: the COVID-19 experience. Issue 2 (15th October 2020)

• Record Type: Journal Article
• Authors: Mercatelli, Daniele; Holding, Andrew N; Giorgi, Federico M
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 2(2021)
• Page Start: 690
• Page End: 700
• Publication Date: 2020-10-15
• Subjects: COVID-19 -- SARS-CoV-2 -- epidemiology -- genomics -- interactomics -- web tools; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbaa261
• Languages: English
• ISSNs: 1467-5463

Abstract

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.