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This dataset contains raw and processed data from the COvid-19 Multi-omics Blood ATlas (COMBAT) consortium. Data are divided into 26 datasets representing anonymised raw and processed data from deep immune phenotyping of peripheral blood from COVID-19 patients. In addition to the data listed below, some datasets are available through other repositories: Proteomics data (CBD-KEY-PROTEOMICS) is available at PRIDE Accession number: PDX023175 Contact: Roman Fischer Genetic data and detailed clinical information are available via a data access agreement through EGA Study accession: EGAS00001005493 For further information regarding specific datasets, please contact the individuals listed in Dataset_descriptions.pdf through contact@combat.ox.ac.uk.
Coronavirus, sepsis, transcriptomics, proteomics, SARS-CoV-2, blood, COVID-19, immune, multi-omics, influenza, epigenetic, single cell
Coronavirus, sepsis, transcriptomics, proteomics, SARS-CoV-2, blood, COVID-19, immune, multi-omics, influenza, epigenetic, single cell
| 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). | 2 | |
| 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 | 918 |

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