Fig. 2
From: AMON: annotation of metabolite origins via networks to integrate microbiome and metabolome data
The results of a case study running AMON with 16S rRNA sequencing data from stool and PICRUSt to predict the metagenome along with the KEGG human genome and an LC/MS untargeted metabolome. a A flow diagram showing how much data is lost between parts of analyses at all data levels. b A Venn diagram showing overlaps in compound sets. The red circle shows compounds detected with untargeted LC/MS with an annotated KEGG compound ID. The green and purple circles show compounds that the metabolic network tells us could have been produced by the bacteria present in the microbiome and the host respectively