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Article

svviz: a read viewer for validating structural variants.

Bioinformatics (Oxford, England) - 15 Dec 2015

Spies Noah, Zook Justin M, Salit Marc, Sidow Arend

Abstract excerpt

UNLABELLED: Visualizing read alignments is the most effective way to validate candidate structural variants (SVs) with existing data. We present svviz, a sequencing read visualizer for SVs that sorts and displays only reads relevant to a candidate SV. svviz works by searching input bam(s) for pot...

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PMID: 26286809
DOI: 10.1093/bioinformatics/btv478

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-26286809-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

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