Building ontologies for universal data reposition, integration, and systematic analysis. The S3DB Framework.

Knowledge discovery in the life sciences is at the critical turnover from techniques for acquiring, accessing and maintaining knowledge within an organizational structure to the integration of that data into comprehensive models. The emergence of the semantic web has revolutionized the way knowledge can be exchanged, thus creating a momentum for scientific discovery. The S3DB application is geared towards improving dataset use within the scientific community. This implementation is accomplished by creating a user-friendly and intuitive interface that empowers domain experts with the possibility of deciding on the architecture of the data schema to accommodate experimental data and weave its relationships. S3DB uses a semantic infused approach based on the RDF (Resource Description Framework) general-purpose language, which constitutes its main feature to make it independent of the underlying relational database in which it is set.

Chemoinformatics.

Not Supplied.

Modelling of intercellular communication in microbial communities.

Not Supplied.