Selected article for: "detect virus and respiratory virus"
Author: Mercatelli, Daniele; Triboli, Luca; Fornasari, Eleonora; Ray, Forest; Giorgi, Federico M.
Title: Coronapp: A web application to annotate and monitor SARS‐CoV‐2 mutations
  • Cord-id: jm5jblyt
  • Document date: 2020_12_1
    • ID: jm5jblyt
    Snippet: The avalanche of genomic data generated from the severe acute respiratory syndrome coronavirus 2 (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 the current worldwide status of SARS‐CoV‐2 mutations. The webtool allows users to highlight mutations and categorize them by frequency, country, genomic l
    Document: The avalanche of genomic data generated from the severe acute respiratory syndrome coronavirus 2 (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 the 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/coronannotator/ for the annotation of user‐provided sequences. The full code is freely shared at https://github.com/federicogiorgi/giorgilab/tree/master/coronannotator.

    Search related documents:
    Co phrase search for related documents
    • local global and lung tissue: 1, 2
    • low quality and lung tissue: 1, 2, 3, 4