PG-SCUnK: measuring pangenome graph representativeness using single-copy and universal K-mers

Insights provided by PG-SCUnK facilitate the selection of appropriate parameters to build optimal reference pangenome graphs.

Authors

Hubert Pausch (ORCID: https://orcid.org/0000-0002-0501-6760)
Tristan Cumer (ORCID: https://orcid.org/0000-0002-0276-7462)
Alexander S. Leonard (ORCID: https://orcid.org/0000-0001-8425-5630)
Sotiria Milia

Institutions

ETH Zurich (CH)

Publication Details

Journal: BMC Bioinformatics
Published: 2025-12-30
DOI: https://doi.org/10.1186/s12859-025-06355-2
Primary Topic: Genetic Associations and Epidemiology
Type: article
Field-Weighted Citation Impact: 0.00

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article

PG-SCUnK: measuring pangenome graph representativeness using single-copy and universal K-mers

Hubert Pausch, Tristan Cumer, Alexander S. Leonard, Sotiria Milia

Dec 30, 2025

BMC Bioinformatics

Genetic Associations and Epidemiology

article

PG-SCUnK: measuring pangenome graph representativeness using single-copy and universal K-mers

Hubert Pausch, Tristan Cumer, Alexander S. Leonard, Sotiria Milia

December 30, 2025article en

Abstract

Insights provided by PG-SCUnK facilitate the selection of appropriate parameters to build optimal reference pangenome graphs.

BMC BioinformaticsVol. 27(1)

ETH Zurich (CH)

Openalex Percentile: Top 24%

Genetic Associations and Epidemiology

DOI Open Access PDF OpenAlex

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PG-SCUnK: measuring pangenome graph representativeness using single-copy and universal K-mers — Hubert Pausch, Tristan Cumer, et al. · BMC Bioinformatics (2025) | TGRS Research Map | TGRS