Rice University and University of Texas researchers present a computational approach for translating noisy or incomplete genotyping profiles produced by single-cell sequencing into inferred tumor phylogenies. The team applied its statistical inference method — known as SiFit — to tease out tumor trees and tumor genetic heterogeneity from synthetic data and from single-cell exome sequences generated for hundreds of tumor and non-tumor cells from two individuals with colorectal cancer.

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