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Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research
Phenotype analyses, e.g. investigating metabolic processes, tissue formation, or organism behavior, are an important element of most biological and medical research activities. Biomedical researchers are making increased use of ontological standards and methods to capture the results of such analyse...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799545/ https://www.ncbi.nlm.nih.gov/pubmed/24358873 http://dx.doi.org/10.12688/f1000research.2-30.v2 |
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author | Köhler, Sebastian Doelken, Sandra C Ruef, Barbara J Bauer, Sebastian Washington, Nicole Westerfield, Monte Gkoutos, George Schofield, Paul Smedley, Damian Lewis, Suzanna E Robinson, Peter N Mungall, Christopher J |
author_facet | Köhler, Sebastian Doelken, Sandra C Ruef, Barbara J Bauer, Sebastian Washington, Nicole Westerfield, Monte Gkoutos, George Schofield, Paul Smedley, Damian Lewis, Suzanna E Robinson, Peter N Mungall, Christopher J |
author_sort | Köhler, Sebastian |
collection | PubMed |
description | Phenotype analyses, e.g. investigating metabolic processes, tissue formation, or organism behavior, are an important element of most biological and medical research activities. Biomedical researchers are making increased use of ontological standards and methods to capture the results of such analyses, with one focus being the comparison and analysis of phenotype information between species. We have generated a cross-species phenotype ontology for human, mouse and zebrafish that contains classes from the Human Phenotype Ontology, Mammalian Phenotype Ontology, and generated classes for zebrafish phenotypes. We also provide up-to-date annotation data connecting human genes to phenotype classes from the generated ontology. We have included the data generation pipeline into our continuous integration system ensuring stable and up-to-date releases. This article describes the data generation process and is intended to help interested researchers access both the phenotype annotation data and the associated cross-species phenotype ontology. The resource described here can be used in sophisticated semantic similarity and gene set enrichment analyses for phenotype data across species. The stable releases of this resource can be obtained from http://purl.obolibrary.org/obo/hp/uberpheno/. |
format | Online Article Text |
id | pubmed-3799545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-37995452013-12-05 Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research Köhler, Sebastian Doelken, Sandra C Ruef, Barbara J Bauer, Sebastian Washington, Nicole Westerfield, Monte Gkoutos, George Schofield, Paul Smedley, Damian Lewis, Suzanna E Robinson, Peter N Mungall, Christopher J F1000Res Web Tool Phenotype analyses, e.g. investigating metabolic processes, tissue formation, or organism behavior, are an important element of most biological and medical research activities. Biomedical researchers are making increased use of ontological standards and methods to capture the results of such analyses, with one focus being the comparison and analysis of phenotype information between species. We have generated a cross-species phenotype ontology for human, mouse and zebrafish that contains classes from the Human Phenotype Ontology, Mammalian Phenotype Ontology, and generated classes for zebrafish phenotypes. We also provide up-to-date annotation data connecting human genes to phenotype classes from the generated ontology. We have included the data generation pipeline into our continuous integration system ensuring stable and up-to-date releases. This article describes the data generation process and is intended to help interested researchers access both the phenotype annotation data and the associated cross-species phenotype ontology. The resource described here can be used in sophisticated semantic similarity and gene set enrichment analyses for phenotype data across species. The stable releases of this resource can be obtained from http://purl.obolibrary.org/obo/hp/uberpheno/. F1000Research 2014-01-21 /pmc/articles/PMC3799545/ /pubmed/24358873 http://dx.doi.org/10.12688/f1000research.2-30.v2 Text en Copyright: © 2014 Köhler S et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Tool Köhler, Sebastian Doelken, Sandra C Ruef, Barbara J Bauer, Sebastian Washington, Nicole Westerfield, Monte Gkoutos, George Schofield, Paul Smedley, Damian Lewis, Suzanna E Robinson, Peter N Mungall, Christopher J Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research |
title | Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research |
title_full | Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research |
title_fullStr | Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research |
title_full_unstemmed | Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research |
title_short | Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research |
title_sort | construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research |
topic | Web Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799545/ https://www.ncbi.nlm.nih.gov/pubmed/24358873 http://dx.doi.org/10.12688/f1000research.2-30.v2 |
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