Understanding genome modality change through data-driven phase portrait reconstruction

The qualitative changes in life phenomena such as birth, death, proliferation, cell differentiation, and carcinogenesis are realized by the elaborate gene expression control system of chromatin in the nucleus of eukaryotic cells. In this project, we aim to develop measurement techniques and data analysis methods to track changes in genome modality. We will establish a method to measure chromatin flow (A), which represents chromatin state changes, and combine it with a method to summarize complex dynamics by applying discrete Hodge decomposition (B). By constructing a phase diagram that serves as a schematic of chromatin state changes (C), we will attempt to gain a qualitative understanding of complex chromatin dynamics.

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