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Quantification of subclonal selection in cancer from bulk sequencing data
View ORCID ProfileMarc J. Williams, Benjamin Werner, Christina Curtis, View ORCID ProfileChris P Barnes, Andrea Sottoriva, View ORCID ProfileTrevor A Graham
doi: https://doi.org/10.1101/096305
Marc J. Williams
1Evolution and Cancer Laboratory, Barts Cancer Institute, Queen Mary University of London, London, UK.
2Department of Cell and Developmental Biology, University College London, London, UK.
3Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), University College London, London, UK.
Benjamin Werner
4Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Christina Curtis
5Departments of Medicine and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
6Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
Chris P Barnes
2Department of Cell and Developmental Biology, University College London, London, UK.
Andrea Sottoriva
4Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Trevor A Graham
1Evolution and Cancer Laboratory, Barts Cancer Institute, Queen Mary University of London, London, UK.
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Posted December 24, 2016.
Quantification of subclonal selection in cancer from bulk sequencing data
Marc J. Williams, Benjamin Werner, Christina Curtis, Chris P Barnes, Andrea Sottoriva, Trevor A Graham
bioRxiv 096305; doi: https://doi.org/10.1101/096305
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