The Multi-Omics Hub unites researchers who generate large data sets to understand the complex relationships between genes, environment, and life experience. Such multi-omics data are derived from diverse biological sources and include genomics, epigenomics, proteomics, metabolomics, metagenomics, and transcriptomics. The role of the Hub is to provide linkages and integration across researchers on campus. Specifically, the Hub aims to:
- link the use of several -omics methodologies in the same biological system;
- integrate researchers asking similar questions in systems as dissimilar as the human gut and the soil;
- link research conducted at the clinical, epidemiological, and ecological levels with mechanistic and molecular studies;
- provide avenues for collaboration among computational scientists and biologists.
The Multi-Omics Hub is intimately linked to the Data Science Hub through the use of data management and analytics tools for acquisition and mining of multi-omics data. The intersection of various types of -omics data provides fertile ground for new biological insight, necessitating new methods for data management and analysis. Currently, the Multi-Omics Hub has two major areas of emphasis: epigenetics and the microbiome. Comprehensive analyses in both areas require the acquisition of multi-omic data to understand the chemical and biological information unique to individuals and communities. The Multi-Omics Hub provides services that include epigenetic-linked analytical methods and microbiome bioinformatics resources to enable a broad community of researchers to include epigenome and microbiome assessments in their research.