The quantification of epigenomic signals of histone modification is critical for functional epigenomic studies. Recent technology breakthroughs, including our own NUCLIZE approach, allow us to generate quantitative epigenomic data of histone modifications at single nucleosome resolution. However, the functions and meanings of these quantitative epigenomic data remain to be explored. In a pilot study, we generated a series of quantitative epigenomic data of multiple histone modifications in several human cell lines and cell types to examine the correlations between gene expression levels or specific cellular functions and these quantitative epigenomic signals. We found that potential epigenetic codes may exist in individual cells and during dynamic regulation of biological processes. Further studies with large quantitative epigenomics data would be required for addressing such topic. Nevertheless, quantitative epigenomic data are essential for investigating dynamic changes of epigenetic regulation in the biological processes.