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  1. Home
  3. Cutehap: Haplotype-aware Structural Variant Detection In Phased Long-read Sequencing Data.
  1. Home
  3. Cutehap: Haplotype-aware Structural Variant Detection In Phased Long-read Sequencing Data.

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cuteHap: Haplotype-Aware Structural Variant Detection in Phased Long-Read Sequencing Data.

Shuqi Cao1,2, Yadong Liu1,2,3, Miao Cui1,2

  • 1Center for Bioinformatics, Faculty of Computing, Harbin Institute of Technology, Harbin, Heilongjiang, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|February 12, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

CuteHap improves structural variant (SV) detection using phased long-read sequencing data. This haplotype-aware method enhances accuracy and identifies diverse low-frequency SVs, advancing genomic research.

Keywords:
genomic analysishaplotype‐awarelong‐read sequencingphasingsomatic mosaicismstructural variationsvariant calling

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Long-read sequencing advances human genome exploration, especially for structural variants (SVs).
  • Phasing enables haplotype-aware analysis without whole-genome assembly, offering new SV detection avenues.

Purpose of the Study:

  • Introduce cuteHap, a novel method for SV detection in phased long-read sequencing data.
  • Improve accuracy and resolution of SV calls through haplotype awareness.

Main Methods:

  • Utilize phased alignments with adaptive clustering or beam search for SV detection.
  • Incorporate a mosaic detection module for somatic mosaicism analysis.

Main Results:

  • Achieve higher F1-scores on PacBio HiFi (6%) and ONT (3%) datasets.
  • Detect a wider range of low-frequency SVs in tumor datasets.
  • Generate high-quality, haplotype-resolved SV call sets.

    • Conclusions:

    • CuteHap offers robust and high-performance SV detection for phased long-read data.
    • Facilitates advanced genomic and genetic research by improving SV call set quality.