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Open Access Method

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

Andrej Fischer, Christopher JR Illingworth, Peter J Campbell and Ville Mustonen*

Author Affiliations

Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, CB10 1SA, Hinxton, Cambridge, UK

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Genome Biology 2013, 14:R39  doi:10.1186/gb-2013-14-4-r39

Published: 29 April 2013

Additional files

Additional file 1:

Supporting information. Explicit calculations and implementation for the methods presented in the main text as well as additional analysis of the breast cancer data.

Format: PDF Size: 852KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Software. For archival purposes, the current version of EMu is included as an Additional File. However, we recommend you download the software from http://www.sanger.ac.uk/resources/software/emu/ webcite, in case a more up-to-date version has been released.

Format: GZ Size: 61KB Download file

Open Data