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

Detecting Somatic Mutations in Normal Cells.

Trends in genetics : TIG - 1 Jul 2018

Dou Yanmei, Gold Heather D, Luquette Lovelace J, Park Peter J

Abstract excerpt

Somatic mutations have been studied extensively in the context of cancer. Recent studies have demonstrated that high-throughput sequencing data can be used to detect somatic mutations in non-tumor cells. Analysis of such mutations allows us to better understand the mutational processes in normal cells, explore cell lineages in development, and examine potential associations with age-related disease. We describe...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to High-Throughput Nucleotide Sequencing
Share to Mutation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 29731376
DOI: 10.1016/j.tig.2018.04.003
PMCID: PMC6029698

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Detecting Somatic Mutations in Normal Cells.PMID 29731376Read ↗

Somatic mutation in cancer and normal cells.Semantic proximity Read ↗

Evaluating somatic tumor mutation detection without matched normal samples.Semantic proximity Read ↗

Age-related somatic mutation burden in human tissuesSemantic proximity Read ↗

Next-Generation Sequencing in High-Sensitive Detection of Mutations in Tumors: Challenges, Advances, and Applications.Semantic proximity Read ↗

DNA damage is a major cause of sequencing errors, directly confounding variant identificationSemantic proximity Read ↗

Linked-read analysis identifies mutations in single cell DNA sequencing dataSemantic proximity Read ↗

Somatic Mutagenesis in Mammals and Its Implications for Human Disease and Aging.Semantic proximity Read ↗

Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing.Semantic proximity Read ↗

Methods, challenges, and promise of next-generation sequencing in cancer biology.Semantic proximity Read ↗

Application of next-generation sequencing in the detection of low-abundance mutations.Semantic proximity Read ↗

Quantitative detection of low-abundance somatic structural variants in normal cells by high-throughput sequencing.Semantic proximity Read ↗

Direct mutation analysis by high-throughput sequencing: from germline to low-abundant, somatic variants.Semantic proximity Read ↗

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