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. 2015 Jan;43(Database issue):D578-82.
doi: 10.1093/nar/gku903. Epub 2014 Oct 1.

ViRBase: a resource for virus-host ncRNA-associated interactions

Affiliations

ViRBase: a resource for virus-host ncRNA-associated interactions

Yanhui Li et al. Nucleic Acids Res. 2015 Jan.

Abstract

Increasing evidence reveals that diverse non-coding RNAs (ncRNAs) play critically important roles in viral infection. Viruses can use diverse ncRNAs to manipulate both cellular and viral gene expression to establish a host environment conducive to the completion of the viral life cycle. Many host cellular ncRNAs can also directly or indirectly influence viral replication and even target virus genomes. ViRBase (http://www.rna-society.org/virbase) aims to provide the scientific community with a resource for efficient browsing and visualization of virus-host ncRNA-associated interactions and interaction networks in viral infection. The current version of ViRBase documents more than 12,000 viral and cellular ncRNA-associated virus-virus, virus-host, host-virus and host-host interactions involving more than 460 non-redundant ncRNAs and 4400 protein-coding genes from between more than 60 viruses and 20 hosts. Users can query, browse and manipulate these virus-host ncRNA-associated interactions. ViRBase will be of help in uncovering the generic organizing principles of cellular virus-host ncRNA-associated interaction networks in viral infection.

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Figures

Figure 1.
Figure 1.
The overview of the ViRBase database.
Figure 2.
Figure 2.
Representative screenshots of the Visualization and Network pages. (A) The Visualization page: representing the virus–host ncRNA-associated interaction network for a specific virus and host. At the bottom, the potential Gene Ontology functions and KEGG pathways by performing enrichment analysis are provided. (B) The Network page: representing the specific virus–host ncRNA-associated interaction sub-network.
Figure 3.
Figure 3.
Representative screenshots of the Binding pages. The Binding page represents the predicted binding sites and scores between ncRNAs and their corresponding interactor by various of the predictor tools.

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