GO-CAM Curation: Difference between revisions

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[[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, <span class="plainlinks">[http://geneontology.org/page/go-annotations click here]</span>.
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 <span class="plainlinks">[http://geneontology.org/page/ontology-documentation Gene Ontology]</span> 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.
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 <span class="plainlinks">[http://noctua.geneontology.org Noctua]</span> to create these GO-CAM models. Noctua is the front-end, currently written with <span class="plainlinks">[https://github.com/janl/mustache.js/ mustache]</span> and <span class="plainlinks">[https://github.com/kltm/pup-tent pup-tent], and allows for the creation of workbenches (end-user UI to access and manipulate the models in different ways)
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 this <span class="plainlinks">[http://noctua.geneontology.org/doc/quick-start-guide Quick Start Guide]</span>


To dive deeper into the creation and curation of GO-CAM Models, curators are encouraged to follow this more <span class="plain links">[http://wiki.geneontology.org/index.php/Noctua Complete Guide]</span>.
Curators should start with the [[Noctua Complete Guide]]


= Additional Resources =
== Additional Resources ==
* <span class="plainlinks">[https://docs.google.com/document/d/1hmYNEP7lWFwWGJbDOHfsfDvT77yBNRH4IW1TAPyhdqg/edit# Additional Guide 1]</span>
* <span class="plainlinks">[https://docs.google.com/document/d/18ihslb7prB6CWtu2yjF-pMHZBTY1-AdXJAu-ZyuyXS4/edit# Additional Guide 2]</span>
 
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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

Additional Resources