multiomics
Sign in to saveAlso known as multi-omics
thumb|Multiomics aims to bring together various omics disciplines in [[biotechnology through cross-disciplinary computing and analysis.]]
Research
37,838 papers- Multiomics in atherosclerotic cardiovascular disease.Atherosclerosis · 2025
- Multiomics, artificial intelligence, and precision medicine in perinatology.Pediatric research · 2023
- Single-cell multiomics guided mechanistic understanding of Fontan-associated liver disease.Science translational medicine · 2024
- Multiomics in Renal Cell Carcinoma: Current Landscape and Future Directions for Precision Medicine.Current urology reports · 2025
- Multiomics profiling of mouse polycystic kidney disease progression at a single-cell resolution.Proceedings of the National Academy of Sciences of the United States of America · 2024
via PubMed
~13 min read
Article
11 sectionsContents
- 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.