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Using pangenome variation graphs to improve mutation detection in a large DNA virus.

Microbial genomics - 1 May 2026

Downing Tim, Tennakoon Chandana, Lasecka-Dykes Lidia, Wright Caroline

Abstract excerpt

Accurately quantifying viral genetic diversity is essential for understanding pathogen evolution, transmission and emergence. However, standard approaches that map sequencing reads to a single linear reference genome introduce substantial reference bias, particularly for samples that are divergent and recombinant or belong to rare lineages. Pangenome variation graphs (PVGs) mitigate this issue by representing...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42160133
DOI: 10.1099/mgen.0.001698
PMCID: PMC13189362

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