BioAssay Ontology (BAO) is created to establish common reference metadata terms and definitions required for describing relevant information of low-and high-throughput drug and probe screening assays and results. The main objectives of BAO are to enable effective integration, aggregation, retrieval, and analyses of drug screening data. BAO is a formal OWL-DL ontology and captures deep knowledge about screening assays and their results enabling classifications that enable data analysis and facilitate meaningful retrieval of screening results.
Core concepts/terms
Reference
Abeyruwan, S.; Vempati, U.; Küçük, H.; Visser, U, Koleti, A.; Mir, A.; Sakurai, K.; Chung, C.; Bittker, J.; Clemons, P.; Brudz, S.; Siripala, A.; Morales, A.; Romacker, M.; Twomey, D.; Bureeva, S.; Lemmon, V., Schürer, S. “Evolving BioAssay Ontology (BAO): Modularization, Integration and Applications” J Biomed Semantics, 2014, doi:10.1186/2041-1480-5-S1-S5.
Vempati, U.D.; Przydzial, M.J.; Chung, C.; Abeyruwan, S.; Mir, A.; Sakurai, K.; Visser, U.; Lemmon, V.P.; Schürer, S.C. “Formalization, Annotation and Analysis of Diverse Drug and Probe Screening Assay Datasets using the BioAssay Ontology (BAO).” PLoS One, 2012, doi:10.1371/journal.pone.0049198.
Visser U, Abeyruwan S, Vempati U, Smith RP, Lemmon V, Schürer SC. “BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.” BMC Bioinformatics. 2011 Jun 24;12:257. doi: 10.1186/1471-2105-12-257. PubMed PMID: 21702939; PubMed Central PMCID: PMC3149580.
Terms of use
The data content in git-BioAssay Ontology is licensed under Creative Commons Attribution License Version 4.
Contribute
We are open to collaboration and/or contributions from the community. Any bugs or feature request please submit into git-BioAssay Ontology. This project adheres to the Contributor Covenant code of conduct.