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The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications

BACKGROUND: The Clinical Measurement Ontology (CMO), Measurement Method Ontology (MMO), and Experimental Condition Ontology (XCO) were originally developed at the Rat Genome Database (RGD) to standardize quantitative rat phenotype data in order to integrate results from multiple studies into the Phe...

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Autores principales: Smith, Jennifer R, Park, Carissa A, Nigam, Rajni, Laulederkind, Stanley JF, Hayman, G Thomas, Wang, Shur-Jen, Lowry, Timothy F, Petri, Victoria, Pons, Jeff De, Tutaj, Marek, Liu, Weisong, Worthey, Elizabeth A, Shimoyama, Mary, Dwinell, Melinda R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882879/
https://www.ncbi.nlm.nih.gov/pubmed/24103152
http://dx.doi.org/10.1186/2041-1480-4-26
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author Smith, Jennifer R
Park, Carissa A
Nigam, Rajni
Laulederkind, Stanley JF
Hayman, G Thomas
Wang, Shur-Jen
Lowry, Timothy F
Petri, Victoria
Pons, Jeff De
Tutaj, Marek
Liu, Weisong
Worthey, Elizabeth A
Shimoyama, Mary
Dwinell, Melinda R
author_facet Smith, Jennifer R
Park, Carissa A
Nigam, Rajni
Laulederkind, Stanley JF
Hayman, G Thomas
Wang, Shur-Jen
Lowry, Timothy F
Petri, Victoria
Pons, Jeff De
Tutaj, Marek
Liu, Weisong
Worthey, Elizabeth A
Shimoyama, Mary
Dwinell, Melinda R
author_sort Smith, Jennifer R
collection PubMed
description BACKGROUND: The Clinical Measurement Ontology (CMO), Measurement Method Ontology (MMO), and Experimental Condition Ontology (XCO) were originally developed at the Rat Genome Database (RGD) to standardize quantitative rat phenotype data in order to integrate results from multiple studies into the PhenoMiner database and data mining tool. These ontologies provide the framework for presenting what was measured, how it was measured, and under what conditions it was measured. RESULTS: There has been a continuing expansion of subdomains in each ontology with a parallel 2–3 fold increase in the total number of terms, substantially increasing the size and improving the scope of the ontologies. The proportion of terms with textual definitions has increased from ~60% to over 80% with greater synchronization of format and content throughout the three ontologies. Representation of definition source Uniform Resource Identifiers (URI) has been standardized, including the removal of all non-URI characters, and systematic versioning of all ontology files has been implemented. The continued expansion and success of these ontologies has facilitated the integration of more than 60,000 records into the RGD PhenoMiner database. In addition, new applications of these ontologies, such as annotation of Quantitative Trait Loci (QTL), have been added at the sites actively using them, including RGD and the Animal QTL Database. CONCLUSIONS: The improvements to these three ontologies have been substantial, and development is ongoing. New terms and expansions to the ontologies continue to be added as a result of active curation efforts at RGD and the Animal QTL database. Use of these vocabularies to standardize data representation for quantitative phenotypes and quantitative trait loci across databases for multiple species has demonstrated their utility for integrating diverse data types from multiple sources. These ontologies are freely available for download and use from the NCBO BioPortal website at http://bioportal.bioontology.org/ontologies/1583 (CMO), http://bioportal.bioontology.org/ontologies/1584 (MMO), and http://bioportal.bioontology.org/ontologies/1585 (XCO), or from the RGD ftp site at ftp://rgd.mcw.edu/pub/ontology/.
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spelling pubmed-38828792014-01-08 The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications Smith, Jennifer R Park, Carissa A Nigam, Rajni Laulederkind, Stanley JF Hayman, G Thomas Wang, Shur-Jen Lowry, Timothy F Petri, Victoria Pons, Jeff De Tutaj, Marek Liu, Weisong Worthey, Elizabeth A Shimoyama, Mary Dwinell, Melinda R J Biomed Semantics Research BACKGROUND: The Clinical Measurement Ontology (CMO), Measurement Method Ontology (MMO), and Experimental Condition Ontology (XCO) were originally developed at the Rat Genome Database (RGD) to standardize quantitative rat phenotype data in order to integrate results from multiple studies into the PhenoMiner database and data mining tool. These ontologies provide the framework for presenting what was measured, how it was measured, and under what conditions it was measured. RESULTS: There has been a continuing expansion of subdomains in each ontology with a parallel 2–3 fold increase in the total number of terms, substantially increasing the size and improving the scope of the ontologies. The proportion of terms with textual definitions has increased from ~60% to over 80% with greater synchronization of format and content throughout the three ontologies. Representation of definition source Uniform Resource Identifiers (URI) has been standardized, including the removal of all non-URI characters, and systematic versioning of all ontology files has been implemented. The continued expansion and success of these ontologies has facilitated the integration of more than 60,000 records into the RGD PhenoMiner database. In addition, new applications of these ontologies, such as annotation of Quantitative Trait Loci (QTL), have been added at the sites actively using them, including RGD and the Animal QTL Database. CONCLUSIONS: The improvements to these three ontologies have been substantial, and development is ongoing. New terms and expansions to the ontologies continue to be added as a result of active curation efforts at RGD and the Animal QTL database. Use of these vocabularies to standardize data representation for quantitative phenotypes and quantitative trait loci across databases for multiple species has demonstrated their utility for integrating diverse data types from multiple sources. These ontologies are freely available for download and use from the NCBO BioPortal website at http://bioportal.bioontology.org/ontologies/1583 (CMO), http://bioportal.bioontology.org/ontologies/1584 (MMO), and http://bioportal.bioontology.org/ontologies/1585 (XCO), or from the RGD ftp site at ftp://rgd.mcw.edu/pub/ontology/. BioMed Central 2013-10-08 /pmc/articles/PMC3882879/ /pubmed/24103152 http://dx.doi.org/10.1186/2041-1480-4-26 Text en Copyright © 2013 Smith et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Smith, Jennifer R
Park, Carissa A
Nigam, Rajni
Laulederkind, Stanley JF
Hayman, G Thomas
Wang, Shur-Jen
Lowry, Timothy F
Petri, Victoria
Pons, Jeff De
Tutaj, Marek
Liu, Weisong
Worthey, Elizabeth A
Shimoyama, Mary
Dwinell, Melinda R
The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications
title The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications
title_full The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications
title_fullStr The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications
title_full_unstemmed The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications
title_short The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications
title_sort clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882879/
https://www.ncbi.nlm.nih.gov/pubmed/24103152
http://dx.doi.org/10.1186/2041-1480-4-26
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