Web tools to fight pandemics: the COVID-19 experience.

Mercatelli, Daniele; Holding, Andrew N; Giorgi, Federico M

Mercatelli, Daniele; Holding, Andrew N; Giorgi, Federico M.

Mercatelli D; University of Bologna.
Holding AN; University of York.
Giorgi FM; University of Bologna.

Brief Bioinform ; 22(2): 690-700, 2021 03 22.

Article in English | MEDLINE | ID: covidwho-1352110

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.

Subject(s)

COVID-19/prevention & control; Pandemics; COVID-19/virology; Computational Biology; Humans; Internet; SARS-CoV-2/isolation & purification

Keywords

COVID-19; SARS-CoV-2; epidemiology; genomics; interactomics; web tools

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article

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