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.

Prefix

probonto

Version

2.5.0

Links

Homepage OWL

Contact

Missing Contact

Pattern for Local Unique Identifiers

Local identifiers in Probability Distribution Ontology should match this regular expression:
^PROB_c\d+$

Example Local Unique Identifier

PROB_c0000005   Resolve

Pattern for CURIES

Compact URIs (CURIEs) constructed from Probability Distribution Ontology should match this regular expression:
^probonto:PROB_c\d+$

Example CURIE

probonto:PROB_c0000005

The metaregistry provides mappings between the Bioregistry and other registries. There are 5 mappings to external registries for probonto with 2 unique external prefixes.

Providers are various services that resolve CURIEs to URLs. The example CURIE probonto: is used to demonstrate the provides available for probonto. Generation of OLS and BioPortal URLs requires additional programmatic logic beyond string formatting.