A blood atlas of COVID-19 defines hallmarks of disease severity and specificity: Associated data
Description
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
-
-
CITESeq annotations (CBD-KEY-ANNDATA) have also been made available through the COVID-19 Cell Atlas
- Contact: Stephen Sansom
-
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.
Files
CBD-KEY-CITESEQ-ANNDATA.README.txt
Files
(44.6 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:c25ba09f27ada09d483b2bae0edec137
|
13.7 GB | Download |
|
md5:0ace8e3f1803be1015256ca48a417c44
|
1.4 kB | Preview Download |
|
md5:fe077fc9f314419536d6d901855c9d84
|
212.2 kB | Download |
|
md5:3d58a2d0d447dacac0bf73e2b1c086c3
|
2.0 GB | Download |
|
md5:795dcac7d34c52b3078b6950644b846f
|
1.4 GB | Download |
|
md5:415da3b0551c2ca1e57bc52ca91e91e1
|
4.1 MB | Download |
|
md5:118f0cbd2109315c3b0f473aa0d8e5b8
|
21.7 MB | Download |
|
md5:e6d81e83b191d1d2c7045aab020fbe5a
|
33.4 MB | Download |
|
md5:c5516db86341dcb1e74000e5a5d218a0
|
39.7 kB | Download |
|
md5:d14d0f26573230e643a2d855a233f837
|
1.9 GB | Download |
|
md5:eb8375ee7ce554ee3523d792b1e5132c
|
1.8 GB | Download |
|
md5:0b5b6a38058edb9e8eb5155a6a9711ec
|
912.4 MB | Download |
|
md5:b6379329656711a1b0cacbf60d837821
|
154.8 kB | Download |
|
md5:8c4c5c3b3db0a7bd31ac9e0b23a8f196
|
1.0 MB | Download |
|
md5:5459f6b10e499a7f7d800996269fa8af
|
114.4 kB | Download |
|
md5:a36a531006a63ec2c3134304584e515f
|
55.7 kB | Download |
|
md5:b171d69d0784d94c312bdc8bcfcf55c1
|
23.1 kB | Download |
|
md5:d2b3a1f1a170eecb527c594149e39909
|
31.4 MB | Download |
|
md5:13ba7d72b5402fd814e8484737e58eb9
|
633.6 kB | Download |
|
md5:522df0d5109dd67a6b7608c19c6c3a12
|
112.6 MB | Download |
|
md5:2f6a4eff1d106420bf337fbb934a1480
|
28.5 MB | Download |
|
md5:7b979a2cfa34f4f391356ea54f91c227
|
3.3 kB | Download |
|
md5:29872c65f1b9f6c3c3f8159dff206ec8
|
4.3 GB | Download |
|
md5:94624d98ee28ce1496f28e7d94afd498
|
1.6 GB | Download |
|
md5:3d765bccd1327ce66dcc49793f0b99d2
|
823.4 MB | Download |
|
md5:98a8e3d34549f5bcc122d712ad7756f5
|
3.0 GB | Download |
|
md5:87c6b1a733ea1adc37c808d9a357de74
|
6.4 GB | Download |
|
md5:ece5501a6b77f2c84a1747edbf6a170a
|
6.6 GB | Download |
|
md5:280806d0f6ed878bd4684472e74d3efc
|
279.0 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Preprint: 10.1101/2021.05.11.21256877 (DOI)