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

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...

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Main Authors:	Fischer, Andrej, Illingworth, Christopher JR, Campbell, Peter J, Mustonen, Ville
Format:	Online
Language:	English
Published:	BioMed Central 2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3663107/

id	pubmed-3663107
recordtype	oai_dc
spelling	pubmed-36631072013-05-31 EMu: probabilistic inference of mutational processes and their localization in the cancer genome Fischer, Andrej Illingworth, Christopher JR Campbell, Peter J Mustonen, Ville Method 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/. BioMed Central 2013 2013-04-29 /pmc/articles/PMC3663107/ /pubmed/23628380 http://dx.doi.org/10.1186/gb-2013-14-4-r39 Text en Copyright © 2013 Fischer et al., licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Fischer, Andrej Illingworth, Christopher JR Campbell, Peter J Mustonen, Ville
spellingShingle	Fischer, Andrej Illingworth, Christopher JR Campbell, Peter J Mustonen, Ville EMu: probabilistic inference of mutational processes and their localization in the cancer genome
author_facet	Fischer, Andrej Illingworth, Christopher JR Campbell, Peter J Mustonen, Ville
author_sort	Fischer, Andrej
title	EMu: probabilistic inference of mutational processes and their localization in the cancer genome
title_short	EMu: probabilistic inference of mutational processes and their localization in the cancer genome
title_full	EMu: probabilistic inference of mutational processes and their localization in the cancer genome
title_fullStr	EMu: probabilistic inference of mutational processes and their localization in the cancer genome
title_full_unstemmed	EMu: probabilistic inference of mutational processes and their localization in the cancer genome
title_sort	emu: probabilistic inference of mutational processes and their localization in the cancer genome
description	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/.
publisher	BioMed Central
publishDate	2013
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3663107/
_version_	1611980783362244608

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

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