Traditional genomic research techniques often mask the inherent heterogeneity within complex biological systems by averaging data from millions of cells. This limitation hinders our understanding of cellular diversity and its implications
for health and disease. Single-cell omics technologies have emerged as powerful tools, allowing researchers to dissect
this complexity at an unprecedented resolution, analyzing the genome, transcriptome, proteome, and epigenome of
individual cells