COVID-19 Multi-omics Data Integration using DIVAS: scRNA-seq, Proteomics, and Metabolomics from 114 Patient Samples

Multi-omics data and DIVAS integration results from 114 COVID-19 patients: scRNA-seq (4 cell types), proteomics (481 proteins), metabolomics (763 metabolites), and clinical metadata. Files include DIVAS input matrices, pre-computed results, and cell-level annotations. See repository: https://github.com/ByronSyun/DIVAS_COVID19_CaseStudy.git Original data derived from Su, Y., Chen, D., Yuan, D., et al. (2020). Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19. Cell, 183(6), 1479-1495. https://doi.org/10.1016/j.cell.2020.10.037

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University of Melbourne
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