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Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach
The advent of affordable sequencing technology provides for a new generation of explorers who probe the world’s microbial diversity. Projects such as Tara Oceans, Moorea Biocode Project and Gut Microbiome rely on sequencing technologies to probe community diversity. Either targeted gene surveys (als...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309925/ https://www.ncbi.nlm.nih.gov/pubmed/25632945 http://dx.doi.org/10.1093/database/bau132 |
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author | Rocca-Serra, Philippe Walls, Ramona Parnell, Jacob Gallery, Rachel Zheng, Jie Sansone, Susanna-Assunta Gonzalez-Beltran, Alejandra |
author_facet | Rocca-Serra, Philippe Walls, Ramona Parnell, Jacob Gallery, Rachel Zheng, Jie Sansone, Susanna-Assunta Gonzalez-Beltran, Alejandra |
author_sort | Rocca-Serra, Philippe |
collection | PubMed |
description | The advent of affordable sequencing technology provides for a new generation of explorers who probe the world’s microbial diversity. Projects such as Tara Oceans, Moorea Biocode Project and Gut Microbiome rely on sequencing technologies to probe community diversity. Either targeted gene surveys (also known as community surveys) or complete metagenomes are evaluated. The former, being the less costly of the two methods, relies on the identification of specific genomic regions, which can be used as a proxy to estimate genetic distance between related species in a Phylum. For instance, 16 S ribosomal RNA gene surveys are used to probe bacterial communities while internal transcribed spacer surveys, for example, can be used for probing fungal communities. With the explosion of projects and frenzy to explore new domains of life, scientists in the field have issued guidelines to report minimal information (following a checklist), ensuring that information is contextualized in a meaningful way. Yet the semantics of a checklist are not explicit. We demonstrate here how a tabular template can be used to collect information on microbial diversity using an explicit representation in the Resource Description Framework that is consistent with community agreed-upon knowledge representation patterns found in the Ontology for Biomedical Investigations. |
format | Online Article Text |
id | pubmed-4309925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43099252015-02-24 Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach Rocca-Serra, Philippe Walls, Ramona Parnell, Jacob Gallery, Rachel Zheng, Jie Sansone, Susanna-Assunta Gonzalez-Beltran, Alejandra Database (Oxford) Original Article The advent of affordable sequencing technology provides for a new generation of explorers who probe the world’s microbial diversity. Projects such as Tara Oceans, Moorea Biocode Project and Gut Microbiome rely on sequencing technologies to probe community diversity. Either targeted gene surveys (also known as community surveys) or complete metagenomes are evaluated. The former, being the less costly of the two methods, relies on the identification of specific genomic regions, which can be used as a proxy to estimate genetic distance between related species in a Phylum. For instance, 16 S ribosomal RNA gene surveys are used to probe bacterial communities while internal transcribed spacer surveys, for example, can be used for probing fungal communities. With the explosion of projects and frenzy to explore new domains of life, scientists in the field have issued guidelines to report minimal information (following a checklist), ensuring that information is contextualized in a meaningful way. Yet the semantics of a checklist are not explicit. We demonstrate here how a tabular template can be used to collect information on microbial diversity using an explicit representation in the Resource Description Framework that is consistent with community agreed-upon knowledge representation patterns found in the Ontology for Biomedical Investigations. Oxford University Press 2015-01-28 /pmc/articles/PMC4309925/ /pubmed/25632945 http://dx.doi.org/10.1093/database/bau132 Text en © The Author(s) 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Rocca-Serra, Philippe Walls, Ramona Parnell, Jacob Gallery, Rachel Zheng, Jie Sansone, Susanna-Assunta Gonzalez-Beltran, Alejandra Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach |
title | Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach |
title_full | Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach |
title_fullStr | Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach |
title_full_unstemmed | Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach |
title_short | Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach |
title_sort | modeling a microbial community and biodiversity assay with obo foundry ontologies: the interoperability gains of a modular approach |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309925/ https://www.ncbi.nlm.nih.gov/pubmed/25632945 http://dx.doi.org/10.1093/database/bau132 |
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