Multiomics

Multiomics is a biological analysis approach in which datasets consist of multiple 'omics', such as the genome, proteome, transcriptome, epigenome, metabolome and microbiome (i.e. a meta-genome and/or meta-transcriptome, depending on how it is sequenced). In other words, the use of multiple omics technologies to study life in a concerted manner. By combining these "omics", scientists can analyze complex biological big data to find new associations between biological entities, identify relevant biomarkers, and create more subtle markers of disease and physiology. Multiomics integrates different omics data to find a coherently matching geno-pheno-enviro-type relationship or association. The OmicTools service lists more than 99 software programs for the analysis of Multiomics data and more than 99 databases on this topic.

Systems biology approaches are often based on the use of panomic analysis data. The American Society of Clinical Oncology (ASCO) defines panomics as "the interaction of all biological functions within a cell and with other body functions, combining data collected through targeted tests ... and global assays (such as genome sequencing) are combined with other patient-specific information".