Viral-KB 1.0 resource Designed to support data mining analysis and advanced semantic search

Nowadays, many biological data are available as web-based repository but not all resources are fully exploited. To accomplish this assignment our team has developed Viral-Knowledge Base.

Viral-KB 1.0 first release aims to organize a new type of viral integrated resource and it is designed for general-purpose data mining task and advanced semantic search. These resources exploit data mining tools and databases which help researchers to describe and highlight important biological concepts in different types of complex experimental data. For instance, in order to understand better biological viral data, combining genotype and phenotype analyses would be meaningful.

Our viral resource is equipped by 3557 ICTV (International Committee on Taxonomy of Viruses) files and provides detailed genotype and phenotype descriptions belonging to viruses, and satellite-viruses. Moreover, Viral-KB provides information on all viral isolate properties such as habitat, host, geographical origin, infectivity, vector transmission, Biocontainment level and many other important features.

Currently, Viral-KB 1.0 is available in datalog format and consists on 32 biological data fields as workspace shape in which relevant motifs between viral genotypes and phenotypes and their eventual correlations with isolates properties can be built up.

Applications

- New method to study viral association and co-association events and eventual correlations between phenotype and genotype data

- Pattern discovery analysis to highlight several virus clusters behaviour

- Reducing some databases shortcomings and building up new operational ways to better support combined viral genotype and phenotype analyses

Next release 2.0 of Viral-KB has attempted at the end of July.

To find up more information and to receive detailed features on using our datalog file please contact one of the following authors: Di Tota F., Balech B., Lobefaro A., Falcone A., Vaccina A., Scioscia G. and Leo P.