biostudies-literatureTimmons CNational Cancer Institutee1010733https://www.ebi.ac.uk/biostudies/studies/S-EPMC9754594biostudies-literatureUnknown18(12)Cancer genomes harbor a catalog of somatic mutations. The type and genomic context of these mutations depend on their causes and allow their attribution to particular mutational signatures. Previous work has shown that mutational signature activities change over the course of tumor development, but investigations of genomic region variability in mutational signatures have been limited. Here, we expand upon this work by constructing regional profiles of mutational signature activities over 2,203 whole genomes across 25 tumor types, using data aggregated by the Pan-Cancer Analysis of Whole Genomes (PCAWG) consortium. We present GenomeTrackSig as an extension to the TrackSig R package to construct regional signature profiles using optimal segmentation and the expectation-maximization (EM) algPLoS computational biologyRegional mutational signature activities in cancer genomes.PMC9754594R25 CA233208P30 CA008748Morris QTimmons CHarrigan CFfalseRegional mutational signature activities in cancer genomes.Cancer genomes harbor a catalog of somatic mutations. The type and genomic context of these mutations depend on their causes and allow their attribution to particular mutational signatures. Previous work has shown that mutational signature activities change over the course of tumor development, but investigations of genomic region variability in mutational signatures have been limited. Here, we expand upon this work by constructing regional profiles of mutational signature activities over 2,203 whole genomes across 25 tumor types, using data aggregated by the Pan-Cancer Analysis of Whole Genomes (PCAWG) consortium. We present GenomeTrackSig as an extension to the TrackSig R package to construct regional signature profiles using optimal segmentation and the expectation-maximization (EM) alg2022-01-01T00:00:00Z2022 Dec2025-04-04T19:11:17.364Z2025-04-04T19:11:17.364ZS-EPMC97545943646953910.1371/journal.pcbi.1010733