GO-CAM models are based on the semantic annotation and combination of biological facts. Each fact or statement corresponds to a standard GO Annotation, that is a Gene associated to a GO-Term. To read more about standard GO annotations, click here
GO-CAM relies on the Gene Ontology to define a controlled set of vocabulary and enable curators to create structured biological facts, also called annotations. GO-CAM combines those single biological facts to describe and define larger biological processes. Each biological fact can be written as.a triplet <subject - predicate - object> and a model, as a collection of triplets, can be stored in TTL file.
The curators use the platform Noctua to create these GO-CAM models. Noctua is the front-end, currently written with that allows for the creation of workbenches (end-user UI to access and manipulate the models in different ways)
Noctua Curation Tool Guide
- To learn how to create GO-CAM models and curate using Noctua, curators should start with:
- the Noctua guide on this wiki