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

MetaSV: an accurate and integrative structural-variant caller for next generation sequencing.

Bioinformatics (Oxford, England) - 15 Aug 2015

Mohiyuddin Marghoob, Mu John C, Li Jian, Bani Asadi Narges, Gerstein Mark B, Abyzov Alexej, Wong Wing H, Lam Hugo Y K

Abstract excerpt

UNLABELLED: Structural variations (SVs) are large genomic rearrangements that vary significantly in size, making them challenging to detect with the relatively short reads from next-generation sequencing (NGS). Different SV detection methods have been developed; however, each is limited to specific kinds of SVs with varying accuracy and resolution. Previous works have attempted to combine different methods, but...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Variation
Share to High-Throughput Nucleotide Sequencing

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Mutagenesis, Insertional

Share to Sequence Deletion

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 25861968
DOI: 10.1093/bioinformatics/btv204
PMCID: PMC4528635

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MetaSV: an accurate and integrative structural-variant caller for next generation sequencing.PMID 25861968Read ↗

Benchmarking long-read aligners and SV callers for structural variation detection in Oxford nanopore sequencing data.Semantic proximity Read ↗

VolcanoSV enables accurate and robust structural variant calling in diploid genomes from single-molecule long read sequencingSemantic proximity Read ↗

GrassSV - hybrid method to detect structural variants in high throughput DNA-seq data.Semantic proximity Read ↗

PerSVade: Personalized Structural Variation detection in your species of interestSemantic proximity Read ↗

VolcanoSV enables accurate and robust structural variant calling in diploid genomes from single-molecule long read sequencing.Semantic proximity Read ↗

VISTA: an integrated framework for structural variant discovery.Semantic proximity Read ↗

NextSV: a meta-caller for structural variants from low-coverage long-read sequencing dataSemantic proximity Read ↗

DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for next-generation sequencing dataSemantic proximity Read ↗

Dysgu: efficient structural variant calling using short or long readsSemantic proximity Read ↗

Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data.Semantic proximity Read ↗

Robust and exact structural variation detection with paired-end and soft-clipped alignments: SoftSV compared with eight algorithms.Semantic proximity Read ↗

Computational methods for discovering structural variation with next-generation sequencing.Semantic proximity Read ↗

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