Published August 24, 2020
| Version 1.0
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Supplementary materials for "Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis"
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 bioRxiv preprint "Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis" (https://doi.org/10.1101/2020.07.28.225581). These include:
- Supplementary Figure 1. Isoform Analysis.
- Supplementary File 1. Zipped file containing Complete DEG tables.
- Supplementary File 2. Zipped file containing GO for each dataset.
- Supplementary File 3. TE family count/differential expression.
- Supplementary File 4. GREAT Analysis (complete and per family).
- Zipped file containing 11 supplementary tables:
- Supplementary Table 1. Merged tables (Specific genes in SARS-CoV-2)
- Supplementary Table 2. Supporting information for Figure 2, consisting of functional 563 enrichment specific to SARS-CoV-2.
- Supplementary Table 3. Pathway enrichment for each dataset (SPIA and DAVID merged into 565 one file).
- Supplementary Table 4. Metabolic fluxes predicted for each dataset using Moomin.
- Supplementary Table 5. Isoform analysis.
- Supplementary Table 6. Putative binding sites for human RBPs on the SARS-CoV-2 genome.
- Supplementary Table 7. Enrichment of binding motifs for human RBPs on the SARS-CoV-2 570 genome.
- Supplementary Table 8. Conservation of binding motifs for human RBPs across genome 572 sequences of SARS-CoV-2 isolates.
- Supplementary Table 9. Biological evidence associated with putative SARS-CoV-2 interacting 574 human RBPs.
- Supplementary Table 10. Enrichment of binding motifs for human RBPs on the SARS-CoV 576 genome
- Supplementary Table 11. Enrichment of binding motifs for human RBPs on the RaTG13 genome
Files
Suppl_Tables.zip
Files
(108.2 MB)
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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