Registry Regulation of Gene Expression Ontology

Suggest

Regulation of Gene Expression

Prefix: rexo
Keywords: expression data life science ontology orthologous regulation of gene expression
Links: Homepage OBO OWL RDF
Publications: 2014 Finding gene regulatory network candidates using the gene expression knowledge base

Identifier Standards

Pattern for Local Unique Identifiers: No terms in rexo
Example Local Unique Identifier: No Terms in rexo

Contacts

Contact: Martin Kuiper 0000-0002-1171-9876 makuintnu

Mappings to External Registries

Mappings from records in Bioregistry to external registries comprises the metaregistry. This resource has 4 mappings to external registries with 2 unique external prefixes.

Registry Name	Registry Metaprefix	External Prefix
AberOWL	`aberowl`	`REXO`
BioPortal	`bioportal`	`REXO`
FAIRSharing	`fairsharing`	`FAIRsharing.recas1`
OLS	`ols`	`rexo`

This name annotation was originally annotated in EBI Ontology Lookup Service and is redistributed under the See https://github.com/biopragmatics/bioregistry/issues/340 license.

Get the name:

>>> import bioregistry as br
>>> br.get_name("rexo")
'Regulation of Gene Expression Ontology'

Get the homepage:

>>> import bioregistry as br
>>> br.get_homepage("rexo")
'http://www.semantic-systems-biology.org/apo'

Get the OBO download link:

>>> import bioregistry as br
>>> br.get_obo_download("rexo")
'https://www.bio.ntnu.no/ontology/ReXO/rexo.obo'

Get the OWL download link:

>>> import bioregistry as br
>>> br.get_owl_download("rexo")
'https://www.bio.ntnu.no/ontology/ReXO/rexo.owl'

Get the RDF download link:

>>> import bioregistry as br
>>> br.get_rdf_download("rexo")
'http://www.bio.ntnu.no/ontology/ReXO/rexo.rdf'

Get the contact's name:

>>> import bioregistry as br
>>> br.get_contact_name("rexo")
'Martin Kuiper'

Get the contact's email:

>>> import bioregistry as br
>>> br.get_contact_email("rexo")
'kuiper@bio.ntnu.no'

Get the contact's GitHub handle:

>>> import bioregistry as br
>>> br.get_contact_github("rexo")
'makuintnu'

Get the contact's ORCiD identifier:

>>> import bioregistry as br
>>> br.get_contact_orcid("rexo")
'0000-0002-1171-9876'