Article
SciClone: inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution.
PLoS computational biology - 1 Aug 2014
Miller Christopher A, White Brian S, Dees Nathan D, Griffith Malachi, Welch John S, Griffith Obi L, Vij Ravi, Tomasson Michael H, Graubert Timothy A, Walter Matthew J, Ellis Matthew J, Schierding William, DiPersio John F, Ley Timothy J, Mardis Elaine R, Wilson Richard K, Ding Li
Abstract excerpt
The sensitivity of massively-parallel sequencing has confirmed that most cancers are oligoclonal, with subpopulations of neoplastic cells harboring distinct mutations. A fine resolution view of this clonal architecture provides insight into tumor heterogeneity, evolution, and treatment response, all of which may have clinical implications. Single tumor analysis already contributes to understanding these...
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