EMu: probabilistic inference of mutational processes and their localization in the cancer genome.

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 Biol

journal_title

Genome biology

authors

Fischer A,Illingworth CJ,Campbell PJ,Mustonen V

doi

10.1186/gb-2013-14-4-r39

subject

Has Abstract

pub_date

2013-04-29 00:00:00

pages

R39

issue

4

eissn

1474-7596

issn

1474-760X

pii

gb-2013-14-4-r39

journal_volume

14

pub_type

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