Article

Sensitivity to sequencing depth in single-cell cancer genomics

2017-11-03

Abstract excerpt

<h4>Background</h4> Querying cancer genomes at single-cell resolution is expected to provide a powerful framework to understand in detail the dynamics of cancer evolution. However, given the high costs currently associated with single-cell sequencing, together with the inevitable technical noise arising from single-cell genome amplification, cost-effective strategies that maximize the quality of single-cell data...

Topics

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

Identifiers and source

Literature Corpus work: 1606a732-8017-52d1-9b41-54735a66265e
DOI: 10.1101/213744

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Sensitivity to sequencing depth in single-cell cancer genomicsDOI 10.1101/213744Read

Sensitivity to sequencing depth in single-cell cancer genomics.Semantic proximity Read

Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell BiologySemantic proximity Read

Phertilizer: Growing a clonal tree from ultra-low coverage 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 Sequencing: Genomic and Transcriptomics Approaches in Cancer Cell BiologySemantic proximity Read

Application of single-cell genomics in cancer: promise and challengesSemantic proximity Read

Accurate de novo detection of somatic mutations in high-throughput single-cell profiling data setsSemantic proximity Read

Application of single-cell sequencing in human cancerSemantic proximity Read

Accurate <i>de novo</i> detection of somatic mutations in high-throughput single-cell profiling data setsSemantic proximity Read

Future medical applications of single-cell sequencing in cancerSemantic proximity Read

Delineating cancer evolution with single-cell sequencing.Semantic proximity Read