Full description of Schuster-Böckler group figure 1

A bar chart plotting the Pearson correlation between 47 different genomic features and density of somatic mutations in 4 types of cancer (Melanoma, Lung, Prostate and Leukaemia).

In summary, positive correlations exist between somatic mutation density and H3K9me3, H3K9me2, H4K20me3, and mappability, with some variation in the 4 cancer types.

The other genomic features showed negative correlations - H3K27me2, conservation, H3K27me3, recombination rate, gene density, replication timing, H2A.Z, Hi-C, H3K14ac, H3R2me1, nucleosome positioning, H3K36me1, CpG density, GC density, H4K20me1, H3K27me1, Pol II, H3K79me3, H3K79me2, CTCF, H2AK9ac, H3K79me1, H3K9me1, H3K4me2, H4K16ac, H4K91ac, H3K4me1, H3K36me3, H4K12ac, H3K23ac, H3K4me3, H3K9ac, H4K8ac, H4K5ac, H2BK5ac, H3K27ac, H2BK12ac, H3K36ac, H2AK5ac, H3K18ac, H2BK120ac, H2BK20ac, H3K4ac.