Standardizes, organizes and semantically defines biological assays and screening results. BAO provides a foundation for standardizing assay descriptions and endpoints. The ontology serves as a knowledge model by describing screening experiments and results semantically using description logic. It opens new functionality for querying and analyzing high-throughput screening (HTS) datasets. Users can query PubChem data using BAO terminology and collect sets of results for further analysis.
Department of Computer Science, University of Miami, Coral Gables, FL, USA; Center for Computational Science, University of Miami, Miami, FL, USA; The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami, Miami, FL, USA; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, USA
BAO funding source(s)
Supported by the NIH under the grant number NHGRI (1RC2HG00566801).