ARCHIVE
Full S_ACE2 PDB.zip (165.89 MB)
.COUNT
210510_A00291_0365_BHCLM7DRXY_2_unassigned_1.fastq.count (0.15 kB)
.COUNT
210510_A00291_0365_BHCLM7DRXY_2_unassigned_2.fastq.count (0.15 kB)
.COUNT
210510_A00291_0365_BHCLM7DRXY_2_14524LS0001L01_1.fastq.count (0.19 kB)
.COUNT
210510_A00291_0365_BHCLM7DRXY_2_14524LS0001L01_2.fastq.count (0.19 kB)
ARCHIVE
Hsapiens_DEA.zip (24.14 MB)
ARCHIVE
Rs_cells_Rmd_output.zip (21.48 MB)
ARCHIVE
DEA_tables_figures.zip (5.55 MB)
.XLSX
GO master.xlsx (246.66 kB)
.GZ
210510_A00291_0365_BHCLM7DRXY_2_unassigned_1.fastq.gz (919.39 MB)
.GZ
210510_A00291_0365_BHCLM7DRXY_2_unassigned_2.fastq.gz (964.6 MB)
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README_Joshua Fung.rtf (2.1 kB)
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Supporting data for "Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection dynamics in bat and human cells"
Protein-protein binding and interaction modeling was performed to better study the coronavirus spike protein and ACE2 interaction to elucidate possible receptor usage. The dataset contains the origional models generated in the study using the SWISS-MODEL server. The transcriptomic response of bat and human lung cells was assayed using RNA-seq techniques and a bat genome was constructed. The curated read files and conunt tables were included in the current dataset.
