SciClone: inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution.

SciClone: inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution.

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...

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Bibliographic Details
Main Authors: Christopher A Miller, Brian S White, Nathan D Dees, Malachi Griffith, John S Welch, Obi L Griffith, Ravi Vij, Michael H Tomasson, Timothy A Graubert, Matthew J Walter, Matthew J Ellis, William Schierding, John F DiPersio, Timothy J Ley, Elaine R Mardis, Richard K Wilson, Li Ding
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-08-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25102416/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25102416/?tool=EBI

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