# mm2-ivh: simple and precise overlap detection in alpha satellite HORs with interval hashing

**Authors:** Hajime Suzuki, Masahiro Sugawa, Yoshitaka Sakamoto, Yuichi Shiraishi

PMC · DOI: 10.1093/bioinformatics/btaf648 · Bioinformatics · 2025-12-03

## TL;DR

This paper introduces mm2-ivh, a new algorithm that improves the detection of overlapping DNA repeats, especially in alpha satellite HORs.

## Contribution

The novel contribution is the interval hashing algorithm, which enhances haplotype reconstruction in complex repeat regions.

## Key findings

- mm2-ivh outperforms standard assemblers in reconstructing haplotypes from alpha satellite HORs.
- Interval hashing distinguishes k-mers from different repeat sequences more accurately.

## Abstract

We propose a new algorithm, “interval hashing,” which distinguishes identical k-mers arising from different repeat sequences, particularly in complex repeat arrays such as alpha satellite HORs. We implement this algorithm as a fork of minimap2, named mm2-ivh. In local assembly of alpha satellite HORs, mm2-ivh accurately reconstructs more haplotypes than assemblers using standard minimizers.

mm2-ivh is available under the MIT license at https://github.com/ocxtal/mm2-ivh and runs on common Unix-compatible systems.

## Full-text entities

- **Diseases:** Cancer (MESH:D009369)
- **Chemicals:** CPU (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12766915/full.md

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Source: https://tomesphere.com/paper/PMC12766915