Microarray and Gene Expression Data Ontology
This record is replaced by:
Developed in United States
Created in 2007
Knowledge Domains BETA
How to cite this record FAIRsharing.org: MO; Microarray and Gene Expression Data Ontology; DOI: https://doi.org/10.25504/FAIRsharing.qs4x5m; Last edited: Jan. 8, 2019, 1:39 p.m.; Last accessed: Jan 21 2019 2:16 p.m.
Record updated: Nov. 21, 2018, 11:57 a.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.qs4x5m' by 'The FAIRsharing Team' at 11:57, 21 Nov 2018 (not approved): 'domains' has been modified: Before: Assay DNA microarray Gene expression data Life Science After: Assay DNA microarray Gene expression data Life Science Transcript Added: Transcript Removed:
Edits to 'https://fairsharing.org/FAIRsharing.qs4x5m' by 'The FAIRsharing Team' at 13:17, 29 Oct 2016 (approved): 'homepage' has been modified: Before: http://purl.bioontology.org/ontology/MO After: http://mged.sourceforge.net/ontologies/MGEDontology.php
No XSD schemas defined
Conditions of Use
The MGED Ontology: a resource for semantics-based description of microarray experiments.
Models and Formats
No identifier schema standards defined
No metrics standards defined
BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.
Nottingham Arabidopsis Stock Centre Seeds Database
The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.
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.
This record is maintained by Stoeckert
U.S. National Library of Medicine (Government body)
National Institutes of Health (NIH), Bethesda, MD, USA (Government body)
1P41HG003619 (U.S. National Library of Medicine)
273-02-C-0027 (U.S. National Library of Medicine)