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Disbiome database : linking the microbiome to disease

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Abstract
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.
Keywords
Database, dysbiosis, microbiology, microbiome, FRAGMENT-LENGTH-POLYMORPHISM, GUT MICROBIOTA, HEALTH, DIVERSITY, METAGENOMICS, GUIDELINES, BACTERIAL, INFANTS, ARCHIVE, PROJECT

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Citation

Please use this url to cite or link to this publication:

Chicago
Janssens, Yorick, Joachim Nielandt, Antoon Bronselaer, Nathan Debunne, Frederick Verbeke, Evelien Wynendaele, Filip Van Immerseel, Yves-Paul Vandewynckel, Guy De Tré, and Bart De Spiegeleer. 2018. “Disbiome Database : Linking the Microbiome to Disease.” Bmc Microbiology 18.
APA
Janssens, Yorick, Nielandt, J., Bronselaer, A., Debunne, N., Verbeke, F., Wynendaele, E., Van Immerseel, F., et al. (2018). Disbiome database : linking the microbiome to disease. BMC MICROBIOLOGY, 18.
Vancouver
1.
Janssens Y, Nielandt J, Bronselaer A, Debunne N, Verbeke F, Wynendaele E, et al. Disbiome database : linking the microbiome to disease. BMC MICROBIOLOGY. 2018;18.
MLA
Janssens, Yorick et al. “Disbiome Database : Linking the Microbiome to Disease.” BMC MICROBIOLOGY 18 (2018): n. pag. Print.
@article{8566953,
  abstract     = {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.},
  articleno    = {50},
  author       = {Janssens, Yorick and Nielandt, Joachim and Bronselaer, Antoon and Debunne, Nathan and Verbeke, Frederick and Wynendaele, Evelien and Van Immerseel, Filip and Vandewynckel, Yves-Paul and De Tré, Guy and De Spiegeleer, Bart},
  issn         = {1471-2180},
  journal      = {BMC MICROBIOLOGY},
  keywords     = {Database,dysbiosis,microbiology,microbiome,FRAGMENT-LENGTH-POLYMORPHISM,GUT MICROBIOTA,HEALTH,DIVERSITY,METAGENOMICS,GUIDELINES,BACTERIAL,INFANTS,ARCHIVE,PROJECT},
  language     = {eng},
  pages        = {6},
  title        = {Disbiome database : linking the microbiome to disease},
  url          = {http://dx.doi.org/10.1186/s12866-018-1197-5},
  volume       = {18},
  year         = {2018},
}

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