standards > terminology artifact > DOI:10.25504/FAIRsharing.exmkp8


ready Neuroscience Information Framework Subcellular Ontology

Abbreviation: NIFSUBCELL


General Information
NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.

Homepage https://neuinfo.org/about/nifvocabularies

Countries that developed this resource United States

Created in 2012

Taxonomic range




How to cite this record FAIRsharing.org: NIFSUBCELL; Neuroscience Information Framework Subcellular Ontology; DOI: https://doi.org/10.25504/FAIRsharing.exmkp8; Last edited: Aug. 13, 2019, 3:55 p.m.; Last accessed: Nov 17 2019 7:53 p.m.


This record is maintained by tgbugs  ORCID  and smtifahim

Record updated: July 4, 2019, 2:04 p.m. by The FAIRsharing Team.

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Support

General

support email info@neuinfo.org
twitter @neuinfo

Additional Information

Contact Fahim Imam   ORCID

External Links

Bioportal http://bioportal.bioontology.org/ontologies/NIFSUBCELL

Tools

    No tools defined


Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use

Applies to: Data use




Publications

No publications available


NIFSUBCELL Ontology Display

View in BioPortal.


Disclaimer: This widget assumes the availability of the ontology resources in the NCBO BioPortal.


Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Implementing Databases (2)
Neuroscience Information Framework (NIF)
NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web.
Gemma
Gemma is a database for the meta-analysis, re-use and sharing of genomics data, currently primarily targeted at the analysis of gene expression profiles. Gemma contains data from thousands of public studies, referencing thousands of published papers. Users can search, access and visualize co-expression and differential expression results.

Implementing Policies

This record is not implemented by any policy.


Credit

Record Maintainer