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

DELFMUT: duplex sequencing-oriented depth estimation model for stable detection of low-frequency mutations.

Briefings in bioinformatics - 20 Sept 2023

Wu Guiying, Song Mengmeng, Wang Ke, Cui Tianyu, Jiao Zicong, Ji Liyan, Gao Xuan, Wang Jiayin, Liu Tao, Xia Xuefeng, Fang Huan, Guan Yanfang, Yi Xin

Abstract excerpt

Duplex sequencing technology has been widely used in the detection of low-frequency mutations in circulating tumor deoxyribonucleic acid (DNA), but how to determine the sequencing depth and other experimental parameters to ensure the stable detection of low-frequency mutations is still an urgent problem to be solved. The mutation detection rules of duplex sequencing constrain not only the number of mutated...

Read the complete abstract on PubMed

Topics

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

Share to DNA
Share to High-Throughput Nucleotide Sequencing

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to Mutation Rate

Share to Neoplasms

Source

Identifiers

PMID: 37539831
DOI: 10.1093/bib/bbad277

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

DELFMUT: duplex sequencing-oriented depth estimation model for stable detection of low-frequency mutations.PMID 37539831Read ↗

Bioinformatics Analysis for Cell-Free Tumor DNA Sequencing Data.Semantic proximity Read ↗

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

LFMD: detecting low-frequency mutations in high-depth genome sequencing data without molecular tagsSemantic proximity Read ↗

Error Characterization and Statistical Modeling Improves Circulating Tumor DNA Detection by Droplet Digital PCR.Semantic proximity Read ↗

A novel virtual barcode strategy for accurate panel-wide variant calling in circulating tumor DNA.Semantic proximity Read ↗

TNER: A Novel Background Error Suppression Method for Mutation Detection in Circulating Tumor DNASemantic proximity Read ↗

Chasing Sequencing Perfection: Marching Toward Higher Accuracy and Lower Costs.Semantic proximity Read ↗

An adaptive method of defining negative mutation status for multi-sample comparison using next-generation sequencing.Semantic proximity Read ↗

Evaluation of the correctable decoding sequencing as a new powerful strategy for DNA sequencing.Semantic proximity Read ↗

A comprehensive system for detecting rare single nucleotide variants based on competitive DNA probe and duplex-specific nuclease.Semantic proximity Read ↗

DREAMS: Deep Read-level Error Model for Sequencing data applied to low-frequency variant calling and circulating tumor DNA detectionSemantic proximity Read ↗

Exon sequencing mutation detection algorithm based on PCR matching.Semantic proximity Read ↗

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