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

SPhyR: tumor phylogeny estimation from single-cell sequencing data under loss and error

5 Jul 2018

Abstract excerpt

Motivation: Cancer is characterized by intra-tumor heterogeneity, the presence of distinct cell populations with distinct complements of somatic mutations, which include single-nucleotide variants (SNVs) and copy-number aberrations (CNAs). Single-cell sequencing technology enables one to study these cell populations at single-cell resolution. Phylogeny estimation algorithms that employ appropriate evolutionary...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Genomics and Diagnostics
Share to Genetic factors in colorectal cancer
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30423070
DOI: 10.1093/bioinformatics/bty589

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

SPhyR: tumor phylogeny estimation from single-cell sequencing data under loss and errorPMID 30423070Read ↗

Exploring the Space of Tumor Phylogenies Consistent with Single-Cell Whole-Genome Sequencing DataSemantic proximity Read ↗

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

Single-cell tumor phylogeny inference with copy-number constrained mutation lossesSemantic proximity Read ↗

Pharming: Joint Clonal Tree Reconstruction of Single-Nucleotide Variant and Copy Number Aberration Evolution from Single-Cell DNA Sequencing of Tumors.Semantic proximity Read ↗

Distinguishing linear and branched evolution given single-cell DNA sequencing data of tumorsSemantic proximity Read ↗

ConDoR: tumor phylogeny inference with a copy-number constrained mutation loss model.Semantic proximity Read ↗

ConDoR: Tumor phylogeny inference with a copy-number constrained mutation loss modelSemantic proximity Read ↗

Pharming: Joint Clonal Tree Reconstruction of SNV and CNA Evolution from Single-cell DNA Sequencing of TumorsSemantic proximity Read ↗

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

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

Single-cell mutation identification via phylogenetic inferenceSemantic proximity Read ↗

Reconstruction of clonal trees and tumor composition from multi-sample sequencing data.Semantic proximity Read ↗

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