Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …

Multi-omics allows the systematic understanding of the information flow across different
omics layers, while single omics can mainly reflect one aspect of the biological system. The …

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 …

To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …

Complex and dynamic networks of molecules are involved in human diseases. High-
throughput technologies enable omics studies interrogating thousands to millions of makers …

Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …

Multi-omics is a cutting-edge approach that combines data from different biomolecular
levels, such as DNA, RNA, proteins, metabolites, and epigenetic marks, to obtain a holistic …

Single-cell omics technologies are currently solving biological and medical problems that
earlier have remained elusive, such as discovery of new cell types, cellular differentiation …

The joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome
from single cells is transforming our understanding of cell biology in health and disease. In …

The world has witnessed a steady rise in both non-infectious and infectious chronic
diseases, prompting a cross-disciplinary approach to understand and treating disease …