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.
Keywords: Genomics, Metabolomics, Proteomics, Transcriptomics, Omics.