Authors: Mariana Galvão Ferrarini, Aguiar-Pulido, Eric T. Dawson, Andrea Guarracino, Andreas Gruber, Lukas Heumos, Alexander Kanitz, Amit Kumar Lal, Brett E. Pickett, Rita Rebollo, Ruiz-Arenas C, Olaitan Igbagbo Awe, Sarbjit Singh Bedi, Ben Busby, Georgaki M, James C, Itziar Martinez Gonzalez, Meldal B, Scheila G. Mucha, Noushin Nabavi, Neiro J, Núria Queralt-Rosinach, Philippe Rocca-Serra, de Oliveira Ds, Tsagiopoulou M
Venue: N/A
Type: Publication
Abstract: As part of the virtual BioHackathon 2020, we formed a working group that focused on the analysis of gene expression in the context of COVID-19. More specifically, we performed transcriptome analyses on published datasets in order to better understand the interaction between the human host and the SARS-CoV-2 virus.The ideas proposed during this hackathon were divided into five projects. Projects 1 and 2 aimed to identify human genes that are important in the process of viral infection of human cells. Projects 3 and 4 aimed to take the candidate ...
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Topics: 
Computational biology
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