bioRxivBiophysics
Predicting three-dimensional genome organization with chromatin states
Abstract
We introduce a computational model to simulate chromatin structure and dynamics. Starting from one-dimensional genomics and epigenomics data that are available for hundreds of cell types, this model enables de novo prediction of chromatin structures at five-kilo-base resolution. Simulated chromatin structures recapitulate known features of genome organization, including the formation of chromatin loops, topologically associating domains (TADs) and compartments, and are in quantitative agreement with chromosome conformation capture experiments and super-resolution microscopy measurements. Detailed characterization of the predicted structural ensemble reveals the dynamical flexibility of chromatin loops and the presence of cross-talk among neighboring TADs. Analysis of the models energy function uncovers distinct mechanisms for chromatin folding at various length scales.
- assay: ChIP-seq
- assay: Hi-C
- research focus: chromatin & epigenetic regulation
- research focus: gene regulatory network inference
- research focus: spatial domain detection
- approach: deep learning
- approach: statistical model
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