standards > terminology artifact > DOI:10.25504/FAIRsharing.efv7gw


ready HOMology

Abbreviation: HOM


General Information
This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.



How to cite this record FAIRsharing.org: HOM; HOMology; DOI: https://doi.org/10.25504/FAIRsharing.efv7gw; Last edited: May 7, 2019, 12:25 p.m.; Last accessed: Nov 17 2019 7:52 p.m.


Record updated: April 28, 2019, 3:12 p.m. by The FAIRsharing Team.

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Additional Information

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    No tools defined


Schemas

No XSD schemas defined


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Conditions of Use





Publications

An ontology to clarify homology-related concepts.

Roux J, Robinson-Rechavi M.
Trends Genet. 2010

View Paper (PubMed) View Publication

HOM Ontology Display

View in BioPortal.


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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


Implementing Databases (2)
Bgee DataBase for Gene Expression Evolution
Bgee is a database to retrieve and compare gene expression patterns in multiple animal species, produced from multiple data types (RNA-Seq, Affymetrix, in situ hybridization, and EST data). Bgee is based exclusively on curated "normal", healthy, expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression. Bgee produces calls of presence/absence of expression, and of differential over-/under-expression, integrated along with information of gene orthology, and of homology between organs. This allows comparisons of expression patterns between species.

OBO Foundry
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.

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This record is not implemented by any policy.


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