ProbOnto, is an ontology-based knowledge base of probability distributions, featuring uni- and multivariate distributions with their defining functions, characteristics, relationships and reparameterisation formulae. It can be used for annotation of models, facilitating the encoding of distribution-based models, related functions and quantities.
probonto
Local identifiers in Probability Distribution Ontology should match this
regular expression:
^(c|k)\d{7}$
Compact URIs (CURIEs) constructed from Probability Distribution Ontology should match
this regular expression:
^probonto:(c|k)\d{7}$
PROB_
.
Therefore, you may see local unique identifiers for this resource that look like
PROB_c0000005
(instead of the canonical form c0000005
) and CURIEs for this resource that look like
probonto:PROB_c0000005
(instead of the canonical form probonto:c0000005
).
The Bioregistry will automatically strip off the banana when standardizing local unique identifiers and CURIEs.
The metaregistry provides mappings between the Bioregistry and other registries. There are 5 mappings to external registries for this resource with 2 unique external prefixes.
Registry Name | Registry Metaprefix | External Prefix | Curate |
---|---|---|---|
BioContext | biocontext |
PROBONTO
|
|
FAIRSharing | fairsharing |
FAIRsharing.8zqzm9
|
|
Identifiers.org | miriam |
probonto
|
|
N2T | n2t |
probonto
|
|
OLS | ols |
probonto
|
A provider turns a local unique identifiers from a resource into a URI. Many providers are also resolvable as URLs (i.e., they can be used in a web browser).
The local unique identifier c0000005
is used to demonstrate the providers
available for Probability Distribution Ontology. A guide for curating additional providers can be found
here.