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Disbiome database: linking the microbiome to disease

BACKGROUND: Recent research has provided fascinating indications and evidence that the host health is linked to its microbial inhabitants. Due to the development of high-throughput sequencing technologies, more and more data covering microbial composition changes in different disease types are emerg...

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Autores principales: Janssens, Yorick, Nielandt, Joachim, Bronselaer, Antoon, Debunne, Nathan, Verbeke, Frederick, Wynendaele, Evelien, Van Immerseel, Filip, Vandewynckel, Yves-Paul, De Tré, Guy, De Spiegeleer, Bart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987391/
https://www.ncbi.nlm.nih.gov/pubmed/29866037
http://dx.doi.org/10.1186/s12866-018-1197-5
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author Janssens, Yorick
Nielandt, Joachim
Bronselaer, Antoon
Debunne, Nathan
Verbeke, Frederick
Wynendaele, Evelien
Van Immerseel, Filip
Vandewynckel, Yves-Paul
De Tré, Guy
De Spiegeleer, Bart
author_facet Janssens, Yorick
Nielandt, Joachim
Bronselaer, Antoon
Debunne, Nathan
Verbeke, Frederick
Wynendaele, Evelien
Van Immerseel, Filip
Vandewynckel, Yves-Paul
De Tré, Guy
De Spiegeleer, Bart
author_sort Janssens, Yorick
collection PubMed
description BACKGROUND: Recent research has provided fascinating indications and evidence that the host health is linked to its microbial inhabitants. Due to the development of high-throughput sequencing technologies, more and more data covering microbial composition changes in different disease types are emerging. However, this information is dispersed over a wide variety of medical and biomedical disciplines. DESCRIPTION: Disbiome is a database which collects and presents published microbiota-disease information in a standardized way. The diseases are classified using the MedDRA classification system and the micro-organisms are linked to their NCBI and SILVA taxonomy. Finally, each study included in the Disbiome database is assessed for its reporting quality using a standardized questionnaire. CONCLUSIONS: Disbiome is the first database giving a clear, concise and up-to-date overview of microbial composition differences in diseases, together with the relevant information of the studies published. The strength of this database lies within the combination of the presence of references to other databases, which enables both specific and diverse search strategies within the Disbiome database, and the human annotation which ensures a simple and structured presentation of the available data.
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spelling pubmed-59873912018-07-10 Disbiome database: linking the microbiome to disease Janssens, Yorick Nielandt, Joachim Bronselaer, Antoon Debunne, Nathan Verbeke, Frederick Wynendaele, Evelien Van Immerseel, Filip Vandewynckel, Yves-Paul De Tré, Guy De Spiegeleer, Bart BMC Microbiol Database BACKGROUND: Recent research has provided fascinating indications and evidence that the host health is linked to its microbial inhabitants. Due to the development of high-throughput sequencing technologies, more and more data covering microbial composition changes in different disease types are emerging. However, this information is dispersed over a wide variety of medical and biomedical disciplines. DESCRIPTION: Disbiome is a database which collects and presents published microbiota-disease information in a standardized way. The diseases are classified using the MedDRA classification system and the micro-organisms are linked to their NCBI and SILVA taxonomy. Finally, each study included in the Disbiome database is assessed for its reporting quality using a standardized questionnaire. CONCLUSIONS: Disbiome is the first database giving a clear, concise and up-to-date overview of microbial composition differences in diseases, together with the relevant information of the studies published. The strength of this database lies within the combination of the presence of references to other databases, which enables both specific and diverse search strategies within the Disbiome database, and the human annotation which ensures a simple and structured presentation of the available data. BioMed Central 2018-06-04 /pmc/articles/PMC5987391/ /pubmed/29866037 http://dx.doi.org/10.1186/s12866-018-1197-5 Text en © The Author(s). 2018 Open Access This 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 Database
Janssens, Yorick
Nielandt, Joachim
Bronselaer, Antoon
Debunne, Nathan
Verbeke, Frederick
Wynendaele, Evelien
Van Immerseel, Filip
Vandewynckel, Yves-Paul
De Tré, Guy
De Spiegeleer, Bart
Disbiome database: linking the microbiome to disease
title Disbiome database: linking the microbiome to disease
title_full Disbiome database: linking the microbiome to disease
title_fullStr Disbiome database: linking the microbiome to disease
title_full_unstemmed Disbiome database: linking the microbiome to disease
title_short Disbiome database: linking the microbiome to disease
title_sort disbiome database: linking the microbiome to disease
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987391/
https://www.ncbi.nlm.nih.gov/pubmed/29866037
http://dx.doi.org/10.1186/s12866-018-1197-5
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