Using single cell sequencing data to model the evolutionary history of a tumor
作者： Kyung In Kim , Richard Simon
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摘要: Background The introduction of next-generation sequencing (NGS) technology has made it possible to detect genomic alterations within tumor cells on a large scale. However, most applications NGS show the genetic content mixtures cells. Recently developed single cell can identify variation cell. Characterization multiple samples from using potentially provide information evolutionary history that tumor. This may facilitate understanding how key mutations accumulate and evolve in lineages form heterogeneous
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