Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Tree inference for single-cell data.

Genome biology - 5 May 2016

Jahn Katharina, Kuipers Jack, Beerenwinkel Niko

Abstract excerpt

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 identify the evolutionary history of a tumor from noisy and incomplete mutation profiles of single cells. SCITE comprises a flexible Markov chain Monte Carlo sampling scheme that allows the user to compute the maximum-likelihood mutation...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Clonal Evolution
Share to DNA, Neoplasm
Share to Genetic Heterogeneity

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Neoplasms

Share to Sensitivity and Specificity

Share to Sequence Analysis, DNA

Share to Single-Cell Analysis

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 27149953
DOI: 10.1186/s13059-016-0936-x
PMCID: PMC4858868

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Tree inference for single-cell data.PMID 27149953Read ↗

Single-cell mutation identification via phylogenetic inferenceSemantic proximity Read ↗

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

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

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

PHALCON: phylogeny-aware variant calling from large-scale single-cell panel sequencing datasetsSemantic proximity Read ↗

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

Studying the History of Tumor Evolution from Single-Cell Sequencing Data by Exploring the Space of Binary Matrices.Semantic proximity Read ↗

PhyDOSE: Design of Follow-up Single-cell Sequencing Experiments of TumorsSemantic proximity Read ↗

OncoNEM: inferring tumor evolution from single-cell sequencing data.Semantic proximity Read ↗

BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogeniesSemantic proximity Read ↗

PHALCON: phylogeny-aware variant calling from large-scale single-cell panel sequencing datasetsSemantic proximity Read ↗

Tumor phylogeny inference using tree-constrained importance samplingSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.