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multiomics

thumb|Multiomics aims to bring together various omics disciplines in [[biotechnology through cross-disciplinary computing and analysis.]]

Article

11 sections

Contents

History
Combined multiomic data collection
Single-cell multiomics
Multiomics and machine learning
Multiomics in health and disease
Integrated Human Microbiome Project
Systems immunology
List of software used for multi-omic analysis
Multiomic databases
See also
References

thumb|Multiomics aims to bring together various omics disciplines in [[biotechnology through cross-disciplinary computing and analysis.]]

Multiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data consists of multiple "omes", such as the genome, epigenome, transcriptome, proteome, metabolome, exposome, and microbiome (i.e., a meta-genome and/or meta-transcriptome, depending upon how it is sequenced); in other words, the use of multiple omics technologies to study life in a concerted way. By combining these "omes", scientists can analyze complex biological big data to find novel associations between biological entities, pinpoint relevant biomarkers and build elaborate markers of disease and physiology. In doing so, multiomics integrates diverse omics data to find a coherently matching geno-pheno-envirotype relationship or association. The OmicTools service lists more than 99 pieces of software related to multiomic data analysis, as well as more than 99 databases on the topic.