Empowering Virus Sequence Research Through Conceptual Modeling

被引:15
作者
Bernasconi, Anna [1 ]
Canakoglu, Arif [1 ]
Pinoli, Pietro [1 ]
Ceri, Stefano [1 ]
机构
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Via Ponzio 34-5, I-20133 Milan, Italy
来源
CONCEPTUAL MODELING, ER 2020 | 2020年 / 12400卷
关键词
Conceptual model; Open data; SARS-CoV-2; Viral genomics; Biological research; ENVIRONMENT; ANNOTATION; DATABASES; SCHEMA; GENOME;
D O I
10.1007/978-3-030-62522-1_29
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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, nucleotide and amino acid 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-CoV-2 virus, complex conceptual queries upon VCM are able to replicate the search results of recent articles, hence demonstrating huge potential in supporting virology research. 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.
引用
收藏
页码:388 / 402
页数:15
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