PERMANOVA-S: association test for microbial community composition that accommodates confounders and multiple distances

Motivation: Recent advances in sequencing technology have made it possible to obtain high-throughput data on the composition of microbial communities and to study the effects of dysbiosis on the human host. Analysis of pairwise intersample distances quantifies the association between the microbiome...

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Bibliographic Details
Published in:Bioinformatics (Oxford, England) England), 2016-09, Vol.32 (17), p.2618-2625
Main Authors: Tang, Zheng-Zheng, Chen, Guanhua, Alekseyenko, Alexander V.
Format: Article
Language:English
Subjects:
Analysis of Variance
bioinformatics
community structure
Computer Simulation
computer software
data collection
dysbiosis
environmental factors
High-Throughput Nucleotide Sequencing
Humans
microbial communities
microbiome
Microbiota
multivariate analysis
Original Papers
Software
species diversity
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