COVID-19 Disease Map

Q1 2023
  • Supporting grand societal challenges
    • Pandemic
  • Result description

    The COVID-19 Disease Map enables the understanding of the molecular mechanism of COVID-19. Three main categories of data have been integrated i) omics, ii) drug targets and iii) imaging/3D structure data, implemented as an interactive plugin for end-users. Omics data are integrated as visual data
    overlays allowing to calculate diagram enrichment and visual analytics of expression profiles. Drug target data are used for identifier mappings to visualise molecules targeted by them. Imaging/3D structure data are used for side-by-side visualisations, displaying the imaging content and at the same time indicating relevant molecules in corresponding pathways. The omics category is integrated with broader computational workflows allowing the end-users to define their analytical steps before visualising data in the COVID-19 Disease Map.

    Problem addressed

    Understanding the molecular mechanisms of the SARS-CoV-2 virus enables research into treatments, vaccines and diagnostics, as well as improving knowledge of how the virus functions. It is difficult to understand the wealth of this public domain information due to the sheer volume of interrelated data involved, and, especially in a pandemic situation, the rapid production of additional data.. The COVID-19 Disease Map brings together information in a visual format, to enable rapid interrogation.

    Who can use the result

    Infectious disease scientists wanting to understand the molecular mechanism of COVID-19

    Timeline

    Work began in 2021, significant progress was achieved by Q1 2023.

    How to use the result