BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results
Author Information
Author(s): Ubbo Visser, Saminda Abeyruwan, Uma Vempati, Robin P. Smith, Vance Lemmon, Stephan C. Schürer
Primary Institution: University of Miami
Hypothesis
Novel approaches to organize, standardize and access HTS data are required to address the challenges posed by the diversity and quantity of available HTS assays and screening results.
Conclusion
The BioAssay Ontology (BAO) facilitates semantic search capabilities enabling the retrieval of data that are relevant to a query and that could not be readily obtained otherwise.
Supporting Evidence
- The BioAssay Ontology serves as a foundation for the standardization of HTS assays and data.
- BAO enables the retrieval of inferred search results that are relevant to a given query.
- 300 PubChem assays were curated and 194 were loaded into a triple store to demonstrate various search scenarios.
Takeaway
The BioAssay Ontology helps scientists organize and understand data from drug tests, making it easier to find useful information.
Methodology
The study involved the development of an ontology to describe biological screening assays and their outcomes, followed by the curation of over 300 bioassays from PubChem.
Limitations
The ontology is still being refined and extended, and the current version may not cover all aspects of biological assays.
Digital Object Identifier (DOI)
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