Part I: Re-analysis of the first public SARS-CoV-2 transcriptomics data from Blanco-Melo et. al.

Do you work with COVID-19 related transcriptomic data? Then re-analyse the first public transcriptomic data from Blanco-Melo lab at covid19.bigomics.ch on your own in a few minutes

The first public SARS-CoV-2 transcriptome is now available and we took the opportunity to upload it onto our Viromics Playground platform for analysis. The datasets consists of transformed lung alveolar (A459) and primary human lung epithelium (NHBE) infected with different Multiplicity of Infections (MOI) of SARS-CoV-2 (collected after 24h), as well as transformed lung alveolar (A459) cells infected with either respiratory syncytial virus (RSV) (collected after 24h) or Influenza A virus (IAV) (collected after 9h).

In order to replicate the main findings from this dataset, we first generated a wordcloud of the most significantly enriched gene sets in both SARS-CoV-2 infected cell types. In both cases, gene sets related to both viral infections and immune responses were particularly prevalent.

Want to read the full article? Check out the following post on Medium: https://lnkd.in/g7Yit5J