Multiomics | Multiomics In Health & Disease |

Multiomics is an approach where the data sets of different omic groups are combined during analysis to measure gene expression, gene activation, and protein levels.

The different omic strategies employed during multiomics are genome, proteome, transcriptome, epigenome, and microbiome.

provides an integrated perspective to power discovery across multiple levels of biology.

Using integrative omics technologies, researchers can better connect genotype to phenotype and fuel the discovery of novel drug targets and biomarkers.

Multiomics profiling studies enable a more comprehensive understanding of molecular changes contributing to normal development, cellular response, and disease.