Abstract
Most of the available information about the 3D organization of genomes comes from standard ensemble-average Hi-C maps. These Hi-C maps are double averaged data: over various ages of nuclei in asynchronous cell populations, as well as over thousands of cells with different initial mutual chromosome arrangements (nucleus topologies). Standard and single-cell Hi-C experiments with time-synchronized cells are difficult; here we explore a computational modeling approach to single out the influence of each of the two averaging.
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