Anchors for Homology-Based Scaffolding

Homology-based scaffolding orders contigs based on conserved collinearity of homologous sequences across related species. Existing methods often rely on costly whole-genome alignments or show limited robustness when integrating multiple references. Here, we introduce an anchor-based scaffolding framework that adapts synteny anchors to efficiently infer contig order and orientation relative to one or more reference genomes. Our approach leverages precomputed, sufficiently unique anchors and their respective high-confidence homology matches in a greedy approach, combining single-reference to multi-reference scaffolds using a maximum matching. Across simulated and real datasets, anchor-based scaffolding achieves accuracy comparable to state-of-the-art methods. Notably, the approach shows particular strengths in multi-reference settings. These results demonstrate that synteny-anchor-based scaffolding provides an additional tool for homology-based scaffolding with robust accuracy and superior performance in multi-reference scenarios.

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Publication Details

Journal
Journal of Bioinformatics and Computational Biology
Published
2026-08-14
DOI
https://doi.org/10.1142/s0219720026500101
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Anchors for Homology-Based Scaffolding

Peter F. Stadler, Karl K. Käther, Steffen Lemke
Journal of Bioinformatics and Computational Biology
Innovations in Concrete and Construction Materials
article

Anchors for Homology-Based Scaffolding

Peter F. Stadler, Karl K. Käther, Steffen Lemke
article en

Abstract

Homology-based scaffolding orders contigs based on conserved collinearity of homologous sequences across related species. Existing methods often rely on costly whole-genome alignments or show limited robustness when integrating multiple references. Here, we introduce an anchor-based scaffolding framework that adapts synteny anchors to efficiently infer contig order and orientation relative to one or more reference genomes. Our approach leverages precomputed, sufficiently unique anchors and their respective high-confidence homology matches in a greedy approach, combining single-reference to multi-reference scaffolds using a maximum matching. Across simulated and real datasets, anchor-based scaffolding achieves accuracy comparable to state-of-the-art methods. Notably, the approach shows particular strengths in multi-reference settings. These results demonstrate that synteny-anchor-based scaffolding provides an additional tool for homology-based scaffolding with robust accuracy and superior performance in multi-reference scenarios.

Journal of Bioinformatics and Computational Biology
University of Hohenheim (DE), University of Vienna (AT), Universidad Nacional de Colombia (CO), Telstra (Australia) (AU), Max Planck Institute for Mathematics (DE), Technical University of Denmark (DK)
Deutscher Akademischer Austauschdienst, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 100%
Innovations in Concrete and Construction Materials
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Anchors for Homology-Based Scaffolding — Peter F. Stadler, Karl K. Käther, et al. · Journal of Bioinformatics and Computational Biology (2026) | TGRS Research Map | TGRS