Kaustav Sengupta

The paper integrates 4D Nucleome data to analyze 3D genome structure and function in human cells, revealing chromatin domains, loops, and interactions, and showing how genetic variants affect genome folding.

This study identifies epigenetic regulatory elements linked to breast cancer by analyzing multi-omics data and reveals potential biomarkers and therapeutic targets.

The paper introduces a graph-theoretic algorithm to identify CTCF-mediated chromatin loops that are linked in 3D space using ChIA-PET data, finding non-random linked regions with distinct centrality metrics.

The paper models chromatin folding using explosive percolation theory and shows that 80% of loops are needed for 3D condensation across cell lines.