Single-cell multi-omics analysis can comprehensively analyze various data generated from genomic, transcriptomic, proteomic, and epigenomic analyses of a single cell. This provides important clues for new discoveries and understanding of life phenomena that have not been elucidated by conventional research methods in various fields of biology and medicine.

Single-cell multi-omics analysis can be used to discover new types of cells and rare cells, to identify functional abnormalities in specific cells, to track differentiation and developmental processes through the study of dynamic changes in cell populations, and to investigate cell communication and signaling. These analysis results will significantly contribute to developing effective diagnosis, monitoring, and treatment methods for various diseases and presenting new classification criteria for complex diseases.