Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

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.