Journal of Medical VirologyBioinformaticsPeer-reviewed journal article
coronapp: a Web Application to Annotate and Monitor SARS-CoV-2 Mutations
Daniele MercatelliiD, Luca TriboliiD, E. FornasariiD, Forest Ray, Federico Manuel GiorgiiD
Abstract
The avalanche of genomic data generated from the SARS-CoV-2 virus requires the development of tools to detect and monitor its mutations across the world. Here, we present a webtool, coronapp, dedicated to easily processing user-provided SARS-CoV-2 genomic sequences and visualizing current worldwide status of SARS-CoV-2 mutations. The webtool allows users to highlight mutations and categorize them by frequency, country, genomic location and effect on protein sequences, and to monitor their presence in the population over time. The tool is available at http://giorgilab.unibo.it/coronapp/ for the worldwide dataset and at http://giorgilab.unibo.it/coronannotator/ for the annotation of user-provided sequences. The full code is freely shared at https://github.com/federicogiorgi/giorgilab/tree/master/coronapp Data Availability StatementThe data that support the findings of this study derive from the GISAID consortium and are openly available in Github, in Rdata format for the R environment, in files results.rda and metadata.rda, at the following link: https://github.com/federicogiorgi/giorgilab/tree/master/coronapp/data
- organism: virus
- assay: whole-genome sequencing
- research focus: database / resource
- research focus: software / tool
- approach: experimental assay
- Citations
- 93
- FWCI
- 2.46
- Field percentile
- top 6%
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