standards > terminology artifact > DOI:10.25504/FAIRsharing.ya2wjp


ready Interaction Ontology

Abbreviation: IxnO


General Information
The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.

Homepage http://bioportal.bioontology.org/ontologies/1614

Countries that developed this resource United States

Created in 2010

Taxonomic range




How to cite this record FAIRsharing.org: IxnO; Interaction Ontology; DOI: https://doi.org/10.25504/FAIRsharing.ya2wjp; Last edited: Feb. 27, 2020, 11:23 a.m.; Last accessed: Mar 05 2021 9:51 p.m.


Record updated: Feb. 26, 2020, 4:12 p.m. by The FAIRsharing Team.

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Support

General

contact form http://ctdbase.org/help/contact.go

Additional Information

Contact Carolyn Mattingly   ORCID

External Links

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

Tools

    No tools defined


Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use





Publications

No publications available


IXNO 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

No semantic standards defined

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Related Databases (1)
Comparative Toxicogenomics Database
The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.

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