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CLO specifications


Unique identifier OMICS_14224
Name CLO
Alternative name Cell Line Ontology
Restrictions to use None
Community driven Yes
Data access File download, Browse
User data submission Not allowed
Version 2.1.83
Maintained Yes



  • person_outline Sirarat Sarntivijai

Publications for Cell Line Ontology


CLO: The cell line ontology

2014 J Biomed Semantics
PMCID: 4387853
PMID: 25852852
DOI: 10.1186/2041-1480-5-37

CLO citations


OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA target gene interaction data

J Biomed Semantics
PMCID: 4863347
PMID: 27175225
DOI: 10.1186/s13326-016-0064-2

[…] iao-imports.owl — Imports information entity terms from the Information Artifact Ontology (IAO) [], for example, information content entity.clo-imports.owl — Imports cell line-relevant terms from the Cell Line Ontology (CLO) [], for example, cell — Imports protein-related entity terms from the PRO, for example, amino acid chain and protein.uberon-imports.owl — Imports cross-spe […]


Ontology based representation and analysis of host Brucella interactions

J Biomed Semantics
PMCID: 4594885
PMID: 26445639
DOI: 10.1186/s13326-015-0036-y

[…] and human epithelial cell line HeLa [] are important models for studying host-Brucella interactions. Those cell types and cell lines have been imported into IDOBRU from Cell Type Ontology (CL) [] and Cell Line Ontology (CLO) [] respectively by using OntoFox, a web-based tool for retrieving and extracting ontological terms and axioms [].Given the above three types of host cells and two types of Bru […]


Formalization, Annotation and Analysis of Diverse Drug and Probe Screening Assay Datasets Using the BioAssay Ontology (BAO)

PLoS One
PMCID: 3498356
PMID: 23155465
DOI: 10.1371/journal.pone.0049198
call_split See protocol

[…] We have used standard practices that allow modular reuse of external ontologies namely, Gene Ontology (GO), NCBI organismal classification (NCBITaxon), Cell Line Ontology (CLO), Units of Measurement (UO), and Ontology for Biomedical Investigations (OBI). In order to do this we have used two methods: OntoFox and the module and axioms extraction facil […]

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CLO institution(s)
US Food and Drug Administration, Silver Spring, MD, USA; University of Michigan, Ann Arbor, MI, USA; European Molecular Biology Laboratory, (EMBL-EBI), Hinxton, UK; University at Buffalo, Buffalo, NY, USA; University of Miami, Miami, FL, USA; University Medical Center Groningen, Groningen, Netherlands; RIKEN BioResource Center, Tsukuba, Japan; Oregon Health & Science University, Portland, USA; University of Pennsylvania, Philadelphia, USA; La Jolla Institute for Allergy & Immunology, La Jolla, CA, USA; Lawrence Berkeley National Laboratory, Berkeley, CA, USA; OncProTech LLC, Ann Arbor, MI, USA
CLO funding source(s)
This work is funded in part by the National Institutes of Health (NIH) grants 1R01AI081062 from the National Institute of Allergy and Infectious Diseases (NIAID), U54 DA021519 for the National Center for Integrative Biomedical Informatics (BDA), 1R24OD011883 from the NIH Office of the Director, NIH grant 1R01GM093132-01, NIH contract HHSN272201200010C, U01HL111561 as part of the Library of Integrated Network-based Cellular Signatures (LINCS) program, and RC2HG005668 supported by the National Human Genome Research Institute (NHGRI), European Molecular Biology Laboratory (EMBL-EBI) core funds, EC FP7 Funds Grant number: 200754 Gen2Phen and funding from the National Bioscience Database Center (NBDC) of the Japan Science and Technology Agency (JST).

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