- CITIID
- CDC COVID Data tracker
- COG-UK (GitHub repos)
- COVID-19 Data Portal
- covid19db (biomedical-web)
- CUH clinical update and testing.
- DockCov2
- GenOMICC, Genetics Of Mortality In Critical Care
- GISAID, Global Initiative for Sharing Avian Influenza Data (login: https://gisaid.org) and nextstran.org.
- HDRUK/covid-19
- ICODA, International COVID-19 Data Alliance
- PANGO lineages
- SARS-CoV-2 Research Grade Test Material (GitHub).
- The COVID-19 Host Genetics Initiative
- Registration
- Analysis plan
- GitHub repositories (PCA projection)
- LDSC and MR analysis
- Long COVID study
- Slack channel (icda-office@icda.bio)
- Results, gs://covid19-hg-analysis/ and gs://covid19-hg-public
- Paper, (medRxiv), the first and second updates.
- Web browser
- The RSS task force
- zenodo
- COVID-19 tracker.
- COVID-19 Projections Using Machine Learning (featured article).
- COVID-19 UniProtKB.
- COVID-19 vaccine tracker.
- CEPI, Coalition for Epidemic Preparedness Innovations.
- CFA, UKRI (funding).
- CSSEGISandData.
- nCov2019.
- NHS COVID-19 vaccination.
- READDI, Rapidly Emerging Antiviral Drug Development Initiative.
- sciinovgroup.
- SHERES.
- https://github.com/rivas-lab/covid19
- VIMI, Viral Interruption Medicines Initiative.
- Machine-readable version of electronic health record phenotypes (Methods)
- UK biobank COVID-19 data, format and field.
Source: Obermeyer F., et al., Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness. Science, 2022. 376(6599): p. 1327-1332. https://doi.org/10.1126/science.abm1208