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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...

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Autores principales: Rocca-Serra, Philippe, Walls, Ramona, Parnell, Jacob, Gallery, Rachel, Zheng, Jie, Sansone, Susanna-Assunta, Gonzalez-Beltran, Alejandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
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.
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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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