BGI offers multi-omics services to look across genomics, transcriptomics, epigenomics, proteomics and metabolomics, with the flexibility to customize solutions that meet your specific needs. All projects are supported by an advanced bioinformatics infrastructure. 

Correlation analysis of metabolome and transcriptome / proteome can simultaneously explore biological problems from the two levels of "cause" and "effect", mutually verified, and screen out key genes, proteins, metabolites and metabolic pathways, which enables researchers to in-depth follow-up research and applications to fully understand the regulatory mechanism of biological systems. Correlation analysis of metabolome and transcriptome / proteome has been widely used in research of disease pathogenesis, disease diagnosis and typing, animal and plant growth and development, plant stress resistance regulation and other fields^1-4.

[1] Molecular mechanisms of mutualistic and antagonistic interactions in a plant–pollinator association. Nat Ecol Evol. 2021 Jul;5(7):974-986. (BGI's Publication)

[2] The trans-omics landscape of COVID-19. Nature Communications. 2021 Jul 27; 12(1): 4543. (BGI's Publication)

[3] Two newly introduced Wolbachia endosymbionts induce cell host differences in competitiveness and metabolic responses. Applied and Environmental Microbiology. 2021 Oct 28; 87(22): e0147921. (BGI's Customer)

[4] An isocaloric moderately high-fat diet extends lifespan in male rats and drosophila. Cell Metabolism. 2021 Mar 2; 33(3): 581-597. (BGI's Customer)