Title |
EMu: probabilistic inference of mutational processes and their localization in the cancer genome
|
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Published in |
Genome Biology, April 2013
|
DOI | 10.1186/gb-2013-14-4-r39 |
Pubmed ID | |
Authors |
Andrej Fischer, Christopher JR Illingworth, Peter J Campbell, Ville Mustonen |
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/. |
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India | 1 | 10% |
Germany | 1 | 10% |
United States | 1 | 10% |
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China | 1 | 10% |
Unknown | 1 | 10% |
Demographic breakdown
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Scientists | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 2% |
Australia | 2 | 1% |
Germany | 1 | <1% |
Sweden | 1 | <1% |
United States | 1 | <1% |
Unknown | 178 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 42 | 23% |
Student > Bachelor | 20 | 11% |
Student > Master | 19 | 10% |
Professor > Associate Professor | 8 | 4% |
Other | 26 | 14% |
Unknown | 21 | 11% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 44 | 24% |
Computer Science | 17 | 9% |
Medicine and Dentistry | 12 | 6% |
Mathematics | 10 | 5% |
Other | 15 | 8% |
Unknown | 25 | 13% |