Abstract:
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Single-cell Hi-C technology makes it possible to probe cell-to-cell variation and understand the dynamics of 3D chromatin organization. One primary task in Hi-C analysis is to identify topologically associating domain (TAD) structures, as they usually represent biologically meaningful interactions. Though many bulk-cell TAD calling methods are available, they do not perform well when they are applied to single-cell Hi-C data, due to the extreme sparsity of the single-cell data. In this work, we developed a single-cell TAD caller (jOnTAD), extended from a bulk-cell caller we developed, that can identify hierarchical TAD structures for single cell Hi-C data and reduce spurious identifications by borrowing strength from different cells. Our model produces biologically much more meaningful results that existing TAD callers.
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