Multi-omics, variously called integrated omics, pan-omics, and trans-omics, aims to combine two or more omics data sets to aid in data analysis, visualization and interpretation to determine the mechanism of a biological process.
Multi-omics efforts have taken center stage in biomedical research leading to the development of new insights into biological events and processes.
With the advent of high-throughput techniques and availability of multi-omics data generated from a large set of samples, several promising tools and methods have been developed for data integration and interpretation. Ever increasing myriad of tools, datasets, and approaches provide fertile ground for discoveries and research.
Stay tuned for more updates and opportunities.