Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data.
A workshop held at the 2015 annual meeting of the Canadian Society of Microbiologists highlighted compositional data analysis methods and the importance of exploratory data analysis for the analysis of microbiome data sets generated by high-throughput DNA sequencing. A summary of the content of that workshop, a review of new methods of analysis, and information on the importance of careful analyses are presented herein. The workshop focussed on explaining the rationale behind the use of compositional data analysis, and a demonstration of these methods for the examination of 2 microbiome data sets. A clear understanding of bioinformatics methodologies and the type of data being analyzed is essential, given the growing number of studies uncovering the critical role of the microbiome in health and disease and the need to understand alterations to its composition and function following intervention with fecal transplant, probiotics, diet, and pharmaceutical agents.
a Department of Biochemistry, Western University, London, Ontario, Canada.|b Canadian Center for Human Microbiome and Probiotic Research, Lawson Health Research Institute, London, Ontario, Canada.
Gregory B
GB
Gloor
b Canadian Center for Human Microbiome and Probiotic Research, Lawson Health Research Institute, London, Ontario, Canada.|c Department of Microbiology and Immunology, and Department of Surgery, Western University, London, Ontario, Canada.
Gregor
G
Reid
D002170:Canada; D016000:Cluster Analysis; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D064307:Microbiota; D019936:Probiotics; D017422:Sequence Analysis, DNA
compositional data; correction en raison de tests multiples; correlation; corrélation; données sur la composition; microbiome; multiple test correction