Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers

Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers

Background: Sequencing partial 16S rRNA genes is a cost effective method for quantifying the microbial composition of an environment, such as the human gut. However, downstream analysis relies on binning reads into microbial groups by either considering each unique sequence as a different microbe, q...

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Bibliographic Details
Main Authors: Chrisman, B.S (Author), David, M. (Author), DeSantis, T.Z (Author), Iwai, S. (Author), Jung, J.-Y (Author), Paskov, K.M (Author), Stockham, N. (Author), Tataru, C. (Author), Varma, M. (Author), Wall, D.P (Author), Washington, P.Y (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
16s
16S
16S rRNA gene
Aggregation methods
Bacteria
biological marker
Bio-marker discovery
Biomarkers
cluster analysis
Cluster Analysis
Clusterings
Cost effectiveness
Discriminant analysis
Diseases
Forecasting
Gastrointestinal Microbiome
Genes
genetics
Genome
Genomics
Gut microbes
human
Humans
intestine flora
Linear discriminant analyze
Microbial groups
Microbiome
Nutrition
Permutation tests
Query processing
RNA
RNA 16S
RNA, Ribosomal, 16S
software
Software
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