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Taxonomic classification for microbiome analysis, which correlates well with the metabolite milieu of the gut.

Yoshihisa WakitaYumi ShimomuraYusuke KitadaHiroyuki YamamotoYoshiaki OhashiMitsuharu Matsumoto
Published in: BMC microbiology (2018)
Lower taxonomic ranks such as family, genus, or species are preferable for 16S amplicon sequencing to investigate the correlation between the microbiome and metabolome. The correlation of PC scores between the microbiome and metabolome at lower taxonomic levels yield a simple method of integrating different "-omics" data, which provides insights regarding crosstalk between the intestinal microbiome and the host.
Keyphrases
  • single cell
  • machine learning
  • deep learning
  • electronic health record