Microarray and Gene Expression Data Ontology

Metrics

Number of classes:	236
Number of individuals:	698
Number of properties:	127
Maximum depth:	8
Maximum number of children:	31
Average number of children:	5
Classes with a single child:	13
Classes with more than 25 children:	1
Classes with no definition:	4

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Details

Acronym	MO
Visibility	Public
BioPortal PURL	http://purl.bioontology.org/ontology/MO
Description	Concepts, definitions, terms, and resources for standardized description of a microarray experiment in support of MAGE v.1.
Status	Alpha
Format	OWL
Contact	Chris Stoeckert, stoeckrt@pcbi.upenn.edu
Home Page	http://mged.sourceforge.net/ontologies/MGEDontology.php
Publications Page
Documentation Page	http://mged.sourceforge.net/software/downloads.php
Categories	Experimental Conditions
Groups

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Submissions

Submission	Release Date	Upload Date	Downloads
1.3.1.1 (Parsed, Indexed, Metrics, Annotator)	02/17/2018	02/17/2018	OWL \| CSV \| RDF/XML
1.3.1.1 (Archived)	02/14/2018	02/14/2018	OWL
1.3.1.1 (Archived)	08/19/2015	05/21/2009	OWL

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Project	Description	People	Institution
FGED-MGED Ontology	The Functional Genomics Data (FGED) Society has incorporated... The Functional Genomics Data (FGED) Society has incorporated the MGED Ontology (MO) into OBI for use in annotating functional genomics studies especially with the MAGE-TAB format.
Gemma	Gemma is a web site, database and a set of tools for the... Gemma is a web site, database and a set of tools 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 coexpression and differential expression results.	Dr. Paul Pavlidis Dr. Paul Pavlidis	University of British Columbia
MeRy-B	MeRy-B is a plant metabolomics platform allowing the storage... MeRy-B is a plant metabolomics platform allowing the storage and visualisation of Nuclear Magnetic Resonance (NMR) metabolic profiles from plants. This database is involved in the ISA commons project (isacommons.org).	Daniel Jacob, Catherine Deborde, Annick Moing Daniel Jacob, Catherine Deborde, Annick Moing	INRA & Univ. Bordeaux