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

Tristan Cumer1, Sotiria Milia2, Alexander S Leonard2

  • 1Animal Genomics, ETH Zurich, Zurich, Switzerland. t.cumer.sci@gmail.com.

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|December 31, 2025
PubMed
Summary

We developed PG-SCUnK to evaluate pangenome graph quality by analyzing k-mer representation. This method helps optimize graph construction for better genetic diversity representation and short read mapping.

Keywords:
Graph quality assessmentGraph representativenessPangenome graphsSingle-copy k-mersUniversal k-mers

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Pangenome graphs integrate multiple assemblies for non-redundant genetic diversity representation.
  • Current evaluations use technical parameters, not assessing homologous stretch representation or read alignment effectiveness.

Purpose of the Study:

  • To introduce a novel quantitative method for assessing pangenome graph representation of integrated assemblies.
  • To evaluate how well homologous genetic regions are captured and how short reads map to pangenome graphs.

Main Methods:

  • Developed a method to quantify unique and complete representation of single-copy and universal k-mers within pangenome graph nodes.
  • Implemented the method in the open-source tool PG-SCUnK.
  • Analyzed fractions of unique, duplicated, and split k-mers.

Main Results:

  • The method quantifies k-mer representation within pangenome graphs.
  • Fractions of unique, duplicated, and split k-mers correlate with short read mapping rates.
  • PG-SCUnK provides insights into graph quality.

Conclusions:

  • PG-SCUnK facilitates selection of optimal parameters for building reference pangenome graphs.
  • The tool aids in improving pangenome graph construction for better genomic analysis.