SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution
Figure 2
Overcoming uncertainty in sparse exome-sequencing data to determine clonal structure and mutation clonality.
(a) Breast cancer sample with well-defined clones. (b) Endometrial cancer sample with overlapping clusters. PIK3CA mutations are strongly associated with the dominant clone (posterior probabilities 93%), whereas the clonal context of an ATM mutation is more ambiguous (57.8%).