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Fig. 12 | Genome Biology

Fig. 12

From: Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data

Fig. 12

Relationship between A/B compartments and somatic mutation rate in prostate cancer. Somatic mutation rate for prostate cancer calculated using whole exome sequencing data from TCGA displayed against the first eigenvector of the 450 k-PRAD-cancer dataset. The y-axis uses the hyperbolic arcsine scale, which is similar to the logarithm for values greater than 1. A large number of genomic bins have a mutation rate of zero. The dashed orange line is a LOESS curve fitted to all the data and the orange line is a LOESS curve fitted only to bins with a strictly positive mutation rate. We observe an increase in somatic mutation rate in the closed compartment, as expected. Colored points represent bins that confidently change compartments between normal samples and cancer samples; blue is closed to open and red is open to closed. A bin confidently changes compartment if its associated eigenvector value has a magnitude greater than 0.01 (but with different signs) in both datasets

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