2021 •
Datasets related to the VirAnimalOne project
Authors:
Fontanesi, Luca, Bovo, Samuele, Schiavo, Giuseppina, Utzeri, Valerio Joe
Abstract:VirAnimalOne is a project focused on large scale mining of publicly deposited genomic and transcriptomic datasets available from ENA/SRA and derived from pets, livestock and wild animal species: to identify unexpected coronavirus sequences; to mine the host animal genomes for potential variants that might confer resistance or susceptibility to SARS-CoV-2 and other coronaviruses known to infect both humans and animals; to phylogenetically and structurally evaluate host receptor conformations and infer potential animal susceptibi (...) VirAnimalOne is a project focused on large scale mining of publicly deposited genomic and transcriptomic datasets available from ENA/SRA and derived from pets, livestock and wild animal species: to identify unexpected coronavirus sequences; to mine the host animal genomes for potential variants that might confer resistance or susceptibility to SARS-CoV-2 and other coronaviruses known to infect both humans and animals; to phylogenetically and structurally evaluate host receptor conformations and infer potential animal susceptibility to coronavirus infections, with particular attention for SARS-Cov-2. Here, we report the pipeline, preliminary datasets and results produced in this project and related to the VirAnimalOne Technical Report: Technical_Report_VirAnimalOne_Pipeline. It reports and describes the bioinformatic pipeline used for the mining of the omics datasets. Tables S1-S6. Genome datasets used for mining activities. Table S7. List of host genes involved in coronavirus infection and used for mining polymorphisms in the host genome using the retrieved datasets. Table S8-S13. List of annotated variants in the selected host genes involved in coronavirus infection. Tables S14-S10. Viral sequences identified in the next-generation sequencing datasets generated from the selected domestic species. Warning: Please, check for updated versions as data can present some inaccuracies. (Read More)
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