An accurate understanding of the clonal origins of tumors is critical for designing effective
strategies to treat or prevent cancer and for guiding the field of cancer risk assessment. The …

Single-cell sequencing (SCS) is a next-generation sequencing method that is mainly used to
analyze differences in genetic and protein information between cells, to obtain genetic …

Recurring sequences of genomic alterations occurring across patients can highlight
repeated evolutionary processes with significant implications for predicting cancer …

The rise of longitudinal single-cell sequencing experiments on patient-derived cell cultures,
xenografts and organoids is opening new opportunities to track cancer evolution, assess the …

Motivation In recent years, the well-known Infinite Sites Assumption has been a fundamental
feature of computational methods devised for reconstructing tumor phylogenies and inferring …

In the recent years, there has been an increasing amount of single-cell sequencing studies,
producing a considerable number of new data sets. This has particularly affected the field of …

Genomic heterogeneity in tumors results from mutations and selection of high-fitness single
cells, the operational components of evolution. Precise knowledge about mutational …

Background The combined effects of biological variability and measurement-related errors
on cancer sequencing data remain largely unexplored. However, the spatio-temporal …

Single-cell sequencing experiments enable the investigation of cell-to-cell heterogeneity at
unprecedented resolution 1, and this is especially relevant in the study of cancer evolution 2 …

The explosion of data throughout the biomedical sciences provides unprecedented
opportunities to learn about the dynamics of evolution and disease progression, but …