GO-CAM Curation: Difference between revisions
m (Cjm moved page Cam/docs/curation to GO-CAM Curation) |
No edit summary |
||
Line 1: | Line 1: | ||
[[Category:CAM]] | [[Category:GO-CAM]] | ||
= Preamble = | == Preamble == | ||
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, | 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, [http://geneontology.org/page/go-annotations click here] | ||
GO-CAM relies on the | GO-CAM relies on the [http://geneontology.org/page/ontology-documentation 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 | The curators use the platform [http://noctua.geneontology.org 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) | ||
= First Steps = | == First Steps == | ||
Curators should start with the [[Noctua Complete Guide]] | |||
= Additional Resources = | == Additional Resources == | ||
Revision as of 16:06, 18 March 2018
Preamble
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)
First Steps
Curators should start with the Noctua Complete Guide