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This data visualization infographics presents the workflow of a gene-based analysis for comparing COVID-19 patients versus healthy individuals. Code available at: https://github.com/GRBio/Analisis_de_RNASeq_para_Infografia This project is part of the GRBIO Divulga initiative from the research group GRBIO. More info at: https://grbio.upc.edu/en/grbio-divulga/grbio-divulga
This outreach project was funded by the Ministerio de Ciencia e Innovación (Spain) (PID2019-104830RB-I00); the Departament d'Economia i Coneixement de la Generalitat de Catalunya (Spain) (2017 SGR 622 (GRBIO)); and by Generalitat de Catalunya (AGAUR) (2020PANDE00148)
{"references": ["Arunachalam et al. Systems biological assessment of immunity to mild versus severe COVID-19 infection in humans. Science. 2020 Sep 4;369(6508):1210-20. doi: 10.1126/science.abc6261."]}
FOS: Computer and information sciences, Bioinformatics, COVID-19, DataViz, Biological interpretation
FOS: Computer and information sciences, Bioinformatics, COVID-19, DataViz, Biological interpretation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 111 |

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