Tumor evolution: Linear, branching, neutral or punctuated?
Intratumor heterogeneity has been widely reported in human cancers, but our knowledge of
how this genetic diversity emerges over time remains limited. A central challenge in studying …
how this genetic diversity emerges over time remains limited. A central challenge in studying …
The evolution of tumour phylogenetics: principles and practice
Rapid advances in high-throughput sequencing and a growing realization of the importance
of evolutionary theory to cancer genomics have led to a proliferation of phylogenetic studies …
of evolutionary theory to cancer genomics have led to a proliferation of phylogenetic studies …
PhyloWGS: reconstructing subclonal composition and evolution from whole-genome sequencing of tumors
Tumors often contain multiple subpopulations of cancerous cells defined by distinct somatic
mutations. We describe a new method, PhyloWGS, which can be applied to whole-genome …
mutations. We describe a new method, PhyloWGS, which can be applied to whole-genome …
Tree inference for single-cell data
Understanding the mutational heterogeneity within tumors is a keystone for the development
of efficient cancer therapies. Here, we present SCITE, a stochastic search algorithm to …
of efficient cancer therapies. Here, we present SCITE, a stochastic search algorithm to …
Fast and scalable inference of multi-sample cancer lineages
Somatic variants can be used as lineage markers for the phylogenetic reconstruction of
cancer evolution. Since somatic phylogenetics is complicated by sample heterogeneity …
cancer evolution. Since somatic phylogenetics is complicated by sample heterogeneity …
Clonality inference in multiple tumor samples using phylogeny
Motivation: Intra-tumor heterogeneity presents itself through the evolution of subclones
during cancer progression. Although recent research suggests that this heterogeneity has …
during cancer progression. Although recent research suggests that this heterogeneity has …
Reconstruction of clonal trees and tumor composition from multi-sample sequencing data
Motivation: DNA sequencing of multiple samples from the same tumor provides data to
analyze the process of clonal evolution in the population of cells that give rise to a tumor …
analyze the process of clonal evolution in the population of cells that give rise to a tumor …
Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data
Understanding the clonal architecture and evolutionary history of a tumour poses one of the
key challenges to overcome treatment failure due to resistant cell populations. Previously …
key challenges to overcome treatment failure due to resistant cell populations. Previously …
Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors
Intra-tumor heterogeneity poses substantial challenges for cancer treatment. A tumor's
composition can be deduced by reconstructing its mutational history. Central to current …
composition can be deduced by reconstructing its mutational history. Central to current …
Inferring the mutational history of a tumor using multi-state perfect phylogeny mixtures
Phylogenetic techniques are increasingly applied to infer the somatic mutational history of a
tumor from DNA sequencing data. However, standard phylogenetic tree reconstruction …
tumor from DNA sequencing data. However, standard phylogenetic tree reconstruction …