Three articles related to COVID-19 research using Galaxy in the de.NBI brochure
Just part of how de.NBI is supporting COVID-19 research
Three articles using Galaxy have been included in the [de.NBI brochure __Data analysis for the COVID-19 Research__](https://www.denbi.de/images/Downloads/deNBI_COVID19_brochure.pdf).
__RNA Bioinformatics to Analyze SARS-CoV-2 – The Causative Agent of COVID-19__ (page 25), by _Wolfgang R. Hess, Steffen C. Lott, Steve Hoffmann and Rolf Backofen._
This article uses the GLASSgo and CARNA algorithms to analyze the RNA biology of SARS-CoV-2.
__Open Data, Software and Analytics as a response to emerging pathogen threats__ (page 60), by _Beatriz Serrano-Solano, Wolfgang Maier, Simon Bray, Gianmauro Cuccuru, Anika Erxleben, Bérénice Batut, Mehmet Tekman, Rolf Backofen and Björn Grüning._
This article gives an overview of the projects developed in the last months, highlighting the need for open data, analysis tools and computational resources when facing public health challenges worldwide.
__Virtual Screening for SARS-CoV-2 Drug Development using Open Research and Compute Infrastructures__ (page 90), by _Simon Bray, Beatriz Serrano-Solano and Björn Grüning_.
This article is focused on the collaboration with the UK’s Diamond Light Source, in which computational tools and workflows for virtual screening of drug candidates against target proteins have been developed.
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