GO Causal Activity Modeling Framework and Application to Viral and Host Response Processes

The Gene Ontology Causal Activity Modeling (GO-CAM) framework is a structured framework for linking multiple GO annotations into an integrated model of a biological system. All elements of the models are represented using standard ontology terms and identifiers, and supported by evidence. Expert biocurators from the GO Consortium have developed a large number of models of biological systems, including almost 50 in the domain of viral processes and host immune response processes. I will present the GO-CAM framework, the Noctua tool for creating and editing GO-CAM models, and an example pathway, to explore potential collaboration opportunities in refining or creating new GO-CAM pathways for viral and host processes. Moderator: Tomas Helikas, PhD, University of Nebraska, Lincoln For more details see: Thomas, Paul D., David P. Hill, Huaiyu Mi, David Osumi-Sutherland, Kimberly Van Auken, Seth Carbon, James P. Balhoff et al. "Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems." Nature genetics 51, no. 10 (2019): 1429-1433. https://www.nature.com/articles/s41588-019-0500-1 An example can be found at: http://noctua.geneontology.org/workbench/noctua-visual-pathway-editor/?model_id=gomodel%3A5e72450500004019 For the slides for this video visit: https://drive.google.com/file/d/1SM4r8FEPi_KKCNTAyLGTROFfAjGsX4On/view If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://tinyurl.com/GLIMPRINTVideos Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/