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Phenotype annotation with the ontology of microbial phenotypes (OMP)
BACKGROUND: Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions beyond microbes. The Ontology of Microbial Phenotypes (OMP...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631659/ https://www.ncbi.nlm.nih.gov/pubmed/31307550 http://dx.doi.org/10.1186/s13326-019-0205-5 |
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author | Siegele, Deborah A. LaBonte, Sandra A. Wu, Peter I-Fan Chibucos, Marcus C. Nandendla, Suvarna Giglio, Michelle G. Hu, James C. |
author_facet | Siegele, Deborah A. LaBonte, Sandra A. Wu, Peter I-Fan Chibucos, Marcus C. Nandendla, Suvarna Giglio, Michelle G. Hu, James C. |
author_sort | Siegele, Deborah A. |
collection | PubMed |
description | BACKGROUND: Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions beyond microbes. The Ontology of Microbial Phenotypes (OMP) was created to support such annotation. RESULTS: We define standards for an OMP-based annotation framework that supports the capture of a variety of phenotypes and provides flexibility for different levels of detail based on a combination of pre- and post-composition using OMP and other Open Biomedical Ontology (OBO) projects. A system for entering and viewing OMP annotations has been added to our online, public, web-based data portal. CONCLUSIONS: The annotation framework described here is ready to support projects to capture phenotypes from the experimental literature for a variety of microbes. Defining the OMP annotation standard should support the development of new software tools for data mining and analysis in comparative phenomics. |
format | Online Article Text |
id | pubmed-6631659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66316592019-07-24 Phenotype annotation with the ontology of microbial phenotypes (OMP) Siegele, Deborah A. LaBonte, Sandra A. Wu, Peter I-Fan Chibucos, Marcus C. Nandendla, Suvarna Giglio, Michelle G. Hu, James C. J Biomed Semantics Research BACKGROUND: Microbial genetics has formed a foundation for understanding many aspects of biology. Systematic annotation that supports computational data mining should reveal further insights for microbes, microbiomes, and conserved functions beyond microbes. The Ontology of Microbial Phenotypes (OMP) was created to support such annotation. RESULTS: We define standards for an OMP-based annotation framework that supports the capture of a variety of phenotypes and provides flexibility for different levels of detail based on a combination of pre- and post-composition using OMP and other Open Biomedical Ontology (OBO) projects. A system for entering and viewing OMP annotations has been added to our online, public, web-based data portal. CONCLUSIONS: The annotation framework described here is ready to support projects to capture phenotypes from the experimental literature for a variety of microbes. Defining the OMP annotation standard should support the development of new software tools for data mining and analysis in comparative phenomics. BioMed Central 2019-07-15 /pmc/articles/PMC6631659/ /pubmed/31307550 http://dx.doi.org/10.1186/s13326-019-0205-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Siegele, Deborah A. LaBonte, Sandra A. Wu, Peter I-Fan Chibucos, Marcus C. Nandendla, Suvarna Giglio, Michelle G. Hu, James C. Phenotype annotation with the ontology of microbial phenotypes (OMP) |
title | Phenotype annotation with the ontology of microbial phenotypes (OMP) |
title_full | Phenotype annotation with the ontology of microbial phenotypes (OMP) |
title_fullStr | Phenotype annotation with the ontology of microbial phenotypes (OMP) |
title_full_unstemmed | Phenotype annotation with the ontology of microbial phenotypes (OMP) |
title_short | Phenotype annotation with the ontology of microbial phenotypes (OMP) |
title_sort | phenotype annotation with the ontology of microbial phenotypes (omp) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631659/ https://www.ncbi.nlm.nih.gov/pubmed/31307550 http://dx.doi.org/10.1186/s13326-019-0205-5 |
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