Microbial Signatures as a Predictive Tool in IBD—Pearls and Pitfalls
Author(s) -
Nadine Waldschmitt,
Amira Metwaly,
Sandra E. Fischer,
Dirk Haller
Publication year - 2018
Publication title -
inflammatory bowel diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.932
H-Index - 146
eISSN - 1536-4844
pISSN - 1078-0998
DOI - 10.1093/ibd/izy059
Subject(s) - dysbiosis , inflammatory bowel disease , metagenomics , disease , gut flora , computational biology , medicine , data science , computer science , biology , immunology , pathology , genetics , gene
Studies of microbial signatures have improved our understanding of the role of dysbiosis in gut microbiota for the pathogenesis of inflammatory bowel disease (IBD). New technological advances such as next-generation sequencing facilitate investigations on large patient cohorts, but require methodological considerations regarding study design, sample processing, data analysis, and integration. Here, we summarize recent study approaches in microbial ecology with respect to IBD research and discuss crucial process steps for the production and integration of adequate data sets.
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