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Fig. 3 | Genome Biology

Fig. 3

From: 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?

Fig. 3

Single-cell Hi-C data sparseness. Ratio of observed values as a function of the number of bins, that is, the size of the structure being reconstructed. To assess the effect of sparseness of single-cell Hi-C data, a known structure is considered and sparse data are sampled from the structure by randomly selecting a smaller and smaller subset of the distances (20 %, 10 %, 5 %, 2 %, 1 %; orange dots). These particular structures are compared with an estimated curve showing the minimum ratio of observed values for complete reconstruction (blue line) or partial reconstruction (red line). Data from Nagano et al. [35] are shown as black circles and the X chromosome datasets from two individual cells (Cell 1 and Cell 2) are highlighted in green. (Graph adapted from [34])

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