Published January 19, 2021
| Version 2.0
Journal article
Open
Supplementary materials for "Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis"
Authors/Creators
- 1. University of Lyon, INSA-Lyon, INRAE, BF2I, Villeurbanne, France
- 2. NVIDIA Corporation, Santa Clara, CA, USA
- 3. Oxford Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- 4. Centre for Molecular Bioinformatics, Department of Biology, University Of Rome Tor Vergata, Rome, Italy
- 5. Netherlands Amsterdam UMC, Amsterdam, The Netherlands
- 6. Center for Neurogenetics, Weill Cornell Medicine, Cornell University, New York, NY, USA
- 7. Laboratoire de Biométrie et Biologie Evolutive, Université de Lyon CNRS, UMR 5558, Villeurbanne, France
- 8. Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT, USA
- 9. Luxembourg Centre for Systems Biomedicine, Belvaux, Luxembourg
Description
Supplementary materials for the article "Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis".
Files
Supplementary_Data_S10_GREAT_Analysis_TE.zip
Files
(118.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:f11f950211b32d4e2af63cf72121a683
|
5.4 MB | Preview Download |
|
md5:1fc2e1aa40057e72fd7c726176492334
|
10.5 MB | Preview Download |
|
md5:207e33cacc10d51ea015491a2c4fee78
|
4.0 kB | Preview Download |
|
md5:0291425988a61d800acc43c07bc22f74
|
299.8 kB | Download |
|
md5:cfefcc554890952af4f5c8defac8402d
|
90.2 kB | Download |
|
md5:075bfdaf07ad4fcfe3729beb2507cabf
|
2.9 MB | Download |
|
md5:ad0d82c6db77596fabbcf6cf26f91a7f
|
68.3 MB | Preview Download |
|
md5:ba22cd32324fb04118352bf8babb7160
|
1.3 MB | Preview Download |
|
md5:0d8f3c1a2233d7d44028e0959eb52eac
|
114.9 kB | Download |
|
md5:744d377a84100194bc406fd0a4a6f917
|
187.9 kB | Download |
|
md5:a67002ac17471fae1a4fa72448ad1186
|
3.4 MB | Download |
|
md5:e5efe7c3388ab575b2b2eb0fac8fb75c
|
1.2 MB | Download |
|
md5:8a0651cf4c6f335765ea3974783e79cd
|
22.7 MB | Preview Download |
|
md5:40a83e6f3e2a693276a5594adb8e45d4
|
1.9 MB | Preview Download |
Additional details
Related works
- Is supplement to
- 10.1101/2020.07.28.225581 (DOI)
References
- Ferrarini, Lal, et al. (2020). Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis. bioRxiv 2020.07.28.225581