aberowl:
  description: 'The Experimental Factor Ontology (EFO) is an application focused ontology
    modelling the experimental variables in multiple resources at the EBI and Open
    Targets. The ontology has been developed to increase the richness of the annotations
    that are currently made in resources and to promote consistent annotation, to
    facilitate automatic annotation and to integrate external data. The ontology pulls
    together classes from reference ontologies such as disease, cell line, cell type
    and anatomy and adds axiomatisation as necessary to connect areas such as disease
    to phenotype. Contact EFO users list for information: efo-users@lists.sourceforge.net'
  download_owl: http://aber-owl.net/media/ontologies/EFO/168/efo.owl
  homepage: http://www.ebi.ac.uk/efo
  name: Experimental Factor Ontology
  prefix: EFO
  version: '2.89'
agroportal:
  contact:
    email: efo-users@lists.sourceforge.net
    name: EFO User List
  description: The Experimental Factor Ontology (EFO) provides a systematic description
    of many experimental variables available in EBI databases, and for projects such
    as the GWAS catalog. It combines parts of several biological ontologies, such
    as UBERON anatomy, ChEBI chemical compounds, and Cell Ontology. EFO is developed
    by the EMBL-EBI Samples, Phenotypes and Ontologies Team (SPOT). We also add terms
    for external users when requested.
  example_uri: http://www.orpha.net/ORDO/Orphanet_1390
  homepage: http://www.ebi.ac.uk/efo/
  license: 'Copyright [2014] EMBL - European Bioinformatics Institute

    Licensed under the Apache License, Version 2.0 (the "License"); you may not use
    this file except in compliance with the License. You may obtain a copy of the
    License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable
    law or agreed to in writing, software distributed under the License is distributed
    on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
    or implied. See the License for the specific language governing permissions and
    limitations under the

    License.'
  name: Experimental Factor Ontology
  prefix: EFO
  publication: https://doi.org/10.1093/bioinformatics/btq099
  repository: https://github.com/EBISPOT/efo
  version: 3.52.0
biocontext:
  is_identifiers: false
  is_obo: true
  prefix: EFO
  uri_format: http://purl.obolibrary.org/obo/EFO_$1
biolink:
  is_identifiers: false
  is_obo: false
  prefix: EFO
  uri_format: http://www.ebi.ac.uk/efo/EFO_$1
bioportal:
  contact:
    email: efo-users@ebi.ac.uk
    name: EFO User List
  description: 'The Experimental Factor Ontology (EFO) is an application focused ontology
    modelling the experimental variables in multiple resources at the EBI and Open
    Targets. The ontology has been developed to increase the richness of the annotations
    that are currently made in resources and to promote consistent annotation, to
    facilitate automatic annotation and to integrate external data. The ontology pulls
    together classes from reference ontologies such as disease, cell line, cell type
    and anatomy and adds axiomatisation as necessary to connect areas such as disease
    to phenotype. Contact EFO users list for information: efo-users@ebi.ac.uk.'
  homepage: http://www.ebi.ac.uk/efo
  name: Experimental Factor Ontology
  prefix: EFO
  version: 3.52.0
cellosaurus:
  category: Experimental variables resources
  homepage: https://www.ebi.ac.uk/efo/
  name: Experimental Factor Ontology
  prefix: EFO
  uri_format: https://www.ebi.ac.uk/efo/$1
contact:
  email: plwhetzel@gmail.com
  github: twhetzel
  name: Trish Whetzel
  orcid: 0000-0002-3458-4839
download_obo: http://www.ebi.ac.uk/efo/efo.obo
download_owl: http://www.ebi.ac.uk/efo/efo.owl
example: '0005147'
fairsharing:
  abbreviation: EFO
  contact:
    email: siiraa@ebi.ac.uk
    name: Sirarat Sarntivijai
    orcid: 0000-0002-2548-641X
  description: The Experimental Factor Ontology (EFO) is an application focused ontology
    modelling the experimental variables in multiple resources at the EBI and the
    Centre for Therapeutic Target Validation. The ontology has been developed to increase
    the richness of the annotations that are currently made in resources and to promote
    consistent annotation, to facilitate automatic annotation and to integrate external
    data. The ontology pulls together classes from reference ontologies such as disease,
    cell line, cell type and anatomy and adds axiomatisation as necessary to connect
    areas such as disease to phenotype.
  homepage: https://www.ebi.ac.uk/efo/
  license: Apache 2.0 License
  name: Experimental Factor Ontology
  prefix: FAIRsharing.1gr4tz
  publications:
  - doi: 10.1093/bioinformatics/btq099
    pubmed_id: 20200009
    title: Modeling sample variables with an Experimental Factor Ontology.
  repository: https://github.com/EBISPOT/efo
  subjects:
  - Functional Genomics
mappings:
  aberowl: EFO
  agroportal: EFO
  biocontext: EFO
  biolink: EFO
  bioportal: EFO
  cellosaurus: EFO
  fairsharing: FAIRsharing.1gr4tz
  miriam: efo
  n2t: efo
  ols: efo
  ontobee: EFO
miriam:
  deprecated: false
  description: The Experimental Factor Ontology (EFO) provides a systematic description
    of many experimental variables available in EBI databases. It combines parts of
    several biological ontologies, such as anatomy, disease and chemical compounds.
    The scope of EFO is to support the annotation, analysis and visualization of data
    handled by the EBI Functional Genomics Team.
  homepage: https://www.ebi.ac.uk/ols/ontologies/efo
  id: 00000391
  name: Experimental Factor Ontology
  namespaceEmbeddedInLui: false
  pattern: ^\d{7}$
  prefix: efo
  providers:
  - code: ebi
    description: EFO through Functional Genomics Group (EBI)
    homepage: https://www.ebi.ac.uk/efo/
    name: EFO through Functional Genomics Group (EBI)
    uri_format: https://www.ebi.ac.uk/efo/EFO_$1
  sampleId: 0004859
  uri_format: https://www.ebi.ac.uk/ols/ontologies/efo/terms?obo_id=EFO:$1
n2t:
  description: The Experimental Factor Ontology (EFO) provides a systematic description
    of many experimental variables available in EBI databases. It combines parts of
    several biological ontologies, such as anatomy, disease and chemical compounds.
    The scope of EFO is to support the annotation, analysis and visualization of data
    handled by the EBI Functional Genomics Team.
  example: 0004859
  homepage: http://bioportal.bioontology.org/ontologies/EFO
  name: EFO through BioPortal
  namespaceEmbeddedInLui: false
  pattern: ^\d{7}$
  prefix: efo
  uri_format: http://purl.bioontology.org/ontology/EFO/efo:EFO_$1
ols:
  contact: efo-users@lists.sourceforge.net
  description: The Experimental Factor Ontology (EFO) provides a systematic description
    of many experimental variables available in EBI databases, and for external projects
    such as the NHGRI GWAS catalogue. It combines parts of several biological ontologies,
    such as anatomy, disease and chemical compounds. The scope of EFO is to support
    the annotation, analysis and visualization of data handled by many groups at the
    EBI and as the core ontology for OpenTargets.org
  download: http://www.ebi.ac.uk/efo/efo.owl
  homepage: http://www.ebi.ac.uk/efo
  name: Experimental Factor Ontology
  prefix: efo
  version: 3.49.0
  version.iri: http://www.ebi.ac.uk/efo/releases/v3.49.0/efo.owl
ontobee:
  library: Not Specified/No
  name: Experimental Factor Ontology
  prefix: EFO
owners:
- name: European Bioinformatics Institute
  partnered: false
  ror: 02catss52
preferred_prefix: EFO
publications:
- doi: 10.1093/bioinformatics/btq099
  pmc: PMC2853691
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
  year: 2010
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
- doi: 10.1093/bioinformatics/btq099
  pubmed: '20200009'
  title: Modeling sample variables with an Experimental Factor Ontology.
repository: https://github.com/EBISPOT/efo/
uri_format: http://www.ebi.ac.uk/efo/EFO_$1