Microbiome, represented by microbial diversity and metagenomics, is used to study microbial community composition, diversity, and gene function information. Metabolomics, on the other hand, is the simultaneous qualitative and quantitative analysis of all low molecular weight metabolites of an organism or cell in a specific physiological period, and can study the relative relationship between metabolites and physiological and pathological changes.

It is difficult to comprehensively and systematically analyze the regulatory mechanism of complex physiological processes from a single omics data, and the joint analysis of multi-omics can jointly explore the potential regulatory mechanisms in organisms from different perspectives, and correlate the two omics data through various methods such as correlation coefficient, O2PLS and network diagram, which can jointly solve scientific problems from the level of species, genes and metabolites, and has a good application prospect in host physiology, disease pathology, drug pharmacology, etc.

Joint analytics benefits

l Data analysis from multiple perspectives;

l The results are more comprehensive;

l The conclusions of the study are more reliable;

l New thinking of correlation analysis.