Multi-omics Data Integration: Applications in Systems Genomics

Abstract

Interpretation of molecular differences and intricacy at multiple stages, for instance proteome, genome, epigenome, metabolome, and transcriptome is needed for a thorough understanding of disease and human health. Biology has been reliant on data produced at these stages, which is collectively referred to as multi-omics data, after the emergence of sequencing techniques. Among all the aspects of biology, rapid development in high-throughput data initiation has enabled to carry out research on multi-omics systems biology. Metabolomics, proteomics, and transcriptomics data can provide answers to the targeted biological queries about the expression of metabolites, proteins, and transcripts, independently. A concise summary of multi-omics data sources, challenges in datasets integration, and visualization portals is also discussed.