Your browser doesn't support javascript.
loading
Empowering Virus Sequences Research through Conceptual Modeling
Anna Bernasconi; Arif Canakoglu; Pietro Pinoli; Stefano Ceri.
Affiliation
  • Anna Bernasconi; Politecnico di Milano
  • Arif Canakoglu; Politecnico di Milano
  • Pietro Pinoli; Politecnico di Milano
  • Stefano Ceri; Politecnico di Milano
Preprint in En | PREPRINT-BIORXIV | ID: ppbiorxiv-067637
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
The pandemic outbreak of the coronavirus disease has attracted attention towards the genetic mechanisms of viruses. We hereby present the Viral Conceptual Model (VCM), centered on the virus sequence and described from four perspectives biological (virus type and hosts/sample), analytical (annotations and variants), organizational (sequencing project) and technical (experimental technology). VCM is inspired by GCM, our previously developed Genomic Conceptual Model, but it introduces many novel concepts, as viral sequences significantly differ from human genomes. When applied to SARS-CoV2 virus, complex conceptual queries upon VCM are able to replicate the search results of recent articles, hence demonstrating huge potential in supporting virology research. In addition to VCM, we also illustrate the data dictionary for patients phenotype used by the COVID-19 Host Genetic Initiative. Our effort is part of a broad vision availability of conceptual models for both human genomics and viruses will provide important opportunities for research, especially if interconnected by the same human being, playing the role of virus host as well as provider of genomic and phenotype information.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Language: En Year: 2020 Document type: Preprint