Fig. 2.

Multi-layered -omics should be integrated into a whole “data ocean”. Single omics such as environmental data, epigenomics, genomics, transcriptomics, proteomics, metabolomics, microbiomics, and phenomics, represent just one dimension of data: The "width of data". Big data are multi-layered, representing the "depth of data". However, data may change or correlate with disease progression and time: The "length of data". Currently, omics data frequently have inherent defects and do not fully match, thus we should incorporate robust data analysis using computing science, such as artificial intelligence.