Skip to main content
Springer Nature - PMC COVID-19 Collection logoLink to Springer Nature - PMC COVID-19 Collection
editorial
. 2021 May 11;27(3):227. [Article in German] doi: 10.1007/s12268-021-1586-4

Deutsche COVID-19 Omics Initiative (DeCOI)

Joachim L Schultze 1,2,
PMCID: PMC8111368  PMID: 33994671

The content is available as a PDF (257.8 KB).

Footnotes

Danksagung

Ich bedanke mich bei allen Mitgliedern von DeCOI für die exzellente Zusammenarbeit, die vielen gemeinsamen Stunden, die wir gemeinsam mit Wissenschaft verbracht haben, die Offenheit und der unerschütterliche Wille, gemeinsam einen kleinen Beitrag zur Bewältigung der Krise zu leisten.

Funding note

Open Access funding enabled and organized by Projekt DEAL.

Literatur

  • [1].van der Toorn W, Oh D-Y, von Kleist M, working group on SARS-CoV-2 Diagnostics at RKI (2021) COVIDStrategyCalculator: A software to assess testing- and quarantine strategies for incoming travelers, contact person management and de-isolation. Patterns (N Y) 100264 [DOI] [PMC free article] [PubMed]
  • [2].van der Toorn W, Oh D-Y, Bourquain D et al. (2021) An intra-host SARS-CoV-2 dynamics model to assess testing and quarantine strategies for incoming travelers, contact person management and de-isolation. Patterns (N Y) 100262 [DOI] [PMC free article] [PubMed]
  • [3].Schulte-Schrepping J, Reusch N, Paclik D, et al. Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment. Cell. 2020;182:1419–1440. doi: 10.1016/j.cell.2020.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4].Aschenbrenner AC, Mouktaroudi M, Krämer B, et al. Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients. Genome Med. 2021;13:7. doi: 10.1186/s13073-020-00823-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Bernardes JP, Mishra N, Tran F, et al. Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19. Immunity. 2020;53:1296–1314. doi: 10.1016/j.immuni.2020.11.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Warnat-Herresthal S, Schultze H, Shastry KL et al. (2020) Swarm Learning as a privacy-preserving machine learning approach for disease classification. BioRxiv

Articles from Biospektrum are provided here courtesy of Nature Publishing Group

RESOURCES