Abstract:
:The spectrum of mutations discovered in cancer genomes can be explained by the activity of a few elementary mutational processes. We present a novel probabilistic method, EMu, to infer the mutational signatures of these processes from a collection of sequenced tumors. EMu naturally incorporates the tumor-specific opportunity for different mutation types according to sequence composition. Applying EMu to breast cancer data, we derive detailed maps of the activity of each process, both genome-wide and within specific local regions of the genome. Our work provides new opportunities to study the mutational processes underlying cancer development. EMu is available at http://www.sanger.ac.uk/resources/software/emu/.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Fischer A,Illingworth CJ,Campbell PJ,Mustonen Vdoi
10.1186/gb-2013-14-4-r39subject
Has Abstractpub_date
2013-04-29 00:00:00pages
R39issue
4eissn
1474-7596issn
1474-760Xpii
gb-2013-14-4-r39journal_volume
14pub_type
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