Fig. 1

Rainstorm and mutation signature analysis of DLBCL genomes. a An overview of mutation peaks and the rainstorm representation of cohort-wide inter-mutation distance for chromosome 16. Peaks identified by the Doppler algorithm that could be attributed to a nearby gene are labelled below. Known aSHM targets such as CIITA and IRF8 are among the most visible peaks in the Rainstorm view. b Our de novo inference of mutation signatures from the entire cohort revealed 11 robust signatures. Each signature was assigned to a reference signature from the curated set of 30 signatures in the Catalogue of Somatic Mutations in Cancer (COSMIC) database based on cosine similarity. The individual pie charts represent the strength of this similarity. The rows are arranged such that those with weaker similarity to a known signature are near the bottom. c A heat map showing the exposure of all 11 signatures in the genomes. Cases (columns) and signatures (rows) are ordered based on hierarchical clustering on the relative exposures. d Comparison of the exposure for the signatures in GCB and ABC cases including the four signatures with significantly higher exposure in GCB cases (indicated with an asterisk). The lower, middle and upper boxplot hinges correspond to the 25th, 50th and 75th percentiles, respectively. The boxplot whiskers extend outwards past the hinges up to the inter-quartile range×1.5 or the farthest value, whichever is closest