SBO WS

SBO WS provides controlled vocabularies and an ontology framework for Systems Biology to enable consistent terminology, data interoperability, and semantic annotation compatible with computational modeling and large-scale analyses.

Key Features:

• Controlled Vocabularies and Ontologies: Provides structured vocabularies and ontologies tailored to Systems Biology for precise and consistent terminology.
• Support for Computational Modeling: Enables annotation and semantic classification of model components used in computational modeling.
• Interoperability via RDF: Integrates with a Resource Description Framework (RDF) platform to enhance interoperability between resources.
• EMBL-EBI Infrastructure Alignment: Aligns with EMBL-EBI infrastructure expansion, including the reported 75 petabytes of disk capacity as of December 2015, to support large-scale data management.
• Repository Integration: Supports integration with specific resources such as the European Variation Archive and EMPIAR.
• Cloud-scale Analysis Support: Facilitates large-scale analyses in environments such as the Embassy Cloud.
• Literature Context: Context and motivation for data-scale and interoperability challenges are described in PMID:26673705.

Scientific Applications:

• Model Annotation: Annotating and constraining Systems Biology models with consistent semantics for simulation and analysis.
• Data Integration: Harmonizing diverse biological datasets to enable integrated analysis and interpretation across resources.
• Variant and Microscopy Data Standardization: Standardizing metadata for genetic variation data (European Variation Archive) and two-dimensional electron microscopy data (EMPIAR).
• Large-scale Computational Analyses: Enabling ontology-driven large-scale analyses within cloud environments such as the Embassy Cloud.

Methodology:

Ontology development and controlled vocabulary construction, and use of a Resource Description Framework (RDF) platform for interoperability.