Single-cell multi-omics is an analytical approach that combines data from multiple levels of biological information, such as DNA, RNA, protein, and metabolites, to study the molecular and functional characteristics of individual cells. This approach enables researchers to analyze and interpret the complexities of cellular regulation at an unprecedented level of detail. By combining data from multiple omics datasets, single-cell multi-omics provides new insights into the biological processes that are unique to each cell.