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. 2018 Dec 31;14(12):e1006686. doi: 10.1371/journal.pcbi.1006686

Fig 2. Analysis of human chromosome 17 using a MSM-based computational framework.

Fig 2

(A) Pairwise contact energy landscape of human chromosome 17. (B) 1D projection of the chromosome 17 energy landscape. (C) Effect of annealing on the mean-first passage time (MFPT) between loci. (D) Optimization of the metastability index ρM under different annealing conditions (β = 1 to 9). (E) Partitioning of chromosome 17 determined by the hub set M(12) (left, visualization obtained by the Fruchterman-Reingold visualization algorithm implemented in Gephi [60]) and schematic illustration of the effective interactions between 12 observed partitions (right).