In tandem with the ever-increasing amount of data generated from high throughput data, a great number of omics fields have emerged . These omics fields have provided access to systems level interpretation of molecular processes. However these techniques requires robust bioinformatics and computational infrastructure to de-convolute and integrate the emerging data for clinical utility . The -omics suffix indicate the analysis of the full complement of a specific biomolecule; as well as its characterization, interaction or analysis . For example, the measurement of the full complement of protein in a cell, tissue, body fluid, or any biological system is known as proteomics; and this analogy applied to all other biomolecules such as lipids (lipidomics), genes (genomics), gene transcripts (transcriptomics), metabolites (metabolomics), etc. It has been notably demonstrated by Garcia et al. , that such omics based techniques would benefit personalized oral healthcare immensely. Examples of promising application of different omics based approaches are described below: