Extending the Gene Ontology for Biological Network Modeling
The Gene Ontology (GO) is an essential resource in the bioinformatics landscape, supporting a wide range of applications. It serves both as a comprehensive encyclopedia of biological knowledge and as a key tool for interpreting high-throughput biological data. More recently, GO has expanded to support biological network modeling through the development of GO Causal Activity Models (GO-CAMs), which enable network analysis within the highly structured GO data framework.
This presentation will introduce the GO-CAM data model, describe its relationship to standard GO annotations, and highlight ontology developments driven by GO-CAM requirements. It will also discuss how GO is leveraging artificial intelligence to enhance multiple aspects of the GO workflow, including ontology development, annotation, and quality control.
For additional information, see AgBioData Webinars Schedule.