Article

A statistical test on single-cell data reveals widespread recurrent mutations in tumor evolution

2016-12-16

Abstract excerpt

The infinite sites assumption, which states that every genomic position mutates at most once over the lifetime of a tumor, is central to current approaches for reconstructing mutation histories of tumors, but has never been tested explicitly. We developed a rigorous statistical framework to test the assumption with single-cell sequencing data. The framework accounts for the high noise and contamination present in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e1e8b18f-6da9-5fa1-9cc7-91a518c87211
DOI: 10.1101/094722

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A statistical test on single-cell data reveals widespread recurrent mutations in tumor evolutionDOI 10.1101/094722Read

Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors.Semantic proximity Read

SiFit: inferring tumor trees from single-cell sequencing data under finite-sites modelsSemantic proximity Read

Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses.Semantic proximity Read

Single-cell mutation calling and phylogenetic tree reconstruction with loss and recurrence.Semantic proximity Read

Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation treesSemantic proximity Read

Inferring active mutational processes in cancer using single cell sequencing and evolutionary constraintsSemantic proximity Read

Detecting repeated cancer evolution from multi-region tumor sequencing dataSemantic proximity Read

SCARLET: Single-cell tumor phylogeny inference with copy-number constrained mutation losses.Semantic proximity Read

Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees.Semantic proximity Read

FiMO: Inferring the Temporal Order of Mutations on Clonal Phylogeny under Finite-sites ModelsSemantic proximity Read

Leveraging single‐cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancersSemantic proximity Read

Single-cell mutation calling and phylogenetic tree reconstruction with loss and recurrenceSemantic proximity Read