Ontodog statistics

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Associated diseases

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Ontodog specifications


Unique identifier OMICS_13226
Name Ontodog
Interface Web user interface
Restrictions to use None
Input data Source ontology information and tagged terms of interest
Input format HTML, XLS
Output data Ontology community view
Output format RDF/XML, OWL
License Apache License version 2.0
Computer skills Basic
Version 1.0
Stability Stable
Maintained Yes



  • person_outline Yongqun He <>

Publication for Ontodog

Ontodog in publications

PMCID: 5765662
PMID: 29329592
DOI: 10.1186/s13326-017-0169-2

[…] is typically tedious and inefficient, especially when the structure of ontology is enormous. over the years, we have developed a collection of web-based “ontoanimal” tools including ontofox [], ontodog [], ontorat [], ontobee [], ontobeep [], ontobull [], ontokiwi [], and ontobat []. each ontoanimal tool has its specific functions, and the collective use of these tools enables users […]

PMCID: 5024438
PMID: 27627881
DOI: 10.1186/s13326-016-0100-2

[…] from obi it was necessary for purposes of obcs to supply only the differentia., obcs imports the subset of obi consisting of all statistics-related terms and associated parent terms using the ontodog tool []. the excel input data used for this purpose is available at: https://github.com/obcs/obcs/raw/master/docs/obi_statisitics_subset.xlsx. to ensure valid reasoning, ontodog was set […]

PMCID: 4855778
PMID: 27148435
DOI: 10.1186/s13326-016-0068-y

[…] or biobank.owl: omiabis or bo specific terms.import_obi_subset.owl: obi subset upon which omiabis or bo was built containing terms needed from both iao and obi. the obi subset was retrieved using ontodog, a tool that can retrieve a set of terms of interest and all related axioms from a source ontology [].import_obo.owl: terms defined in external obo foundry ontologies and retrieved using […]

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Ontodog institution(s)
Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
Ontodog funding source(s)
This project was funded by the National Institute of Health (grants R01AI081062 and 5R01GM93132) and the Rackham Pilot Research grant in the University of Michigan.

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