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ntSynt: multi-genome synteny detection using minimizer graph mappings
Lauren Coombe1, Parham Kazemi1, Johnathan Wong1
1Canada's Michael Smith Genome Sciences Centre at BC Cancer, 570 W 7th Ave, Vancouver, BC, V5Z 4S6, Canada.
Background:
With the growing availability of reference-grade genome assemblies across diverse taxa, there is an increasing need for efficient and scalable tools for multi-species comparative genomics, including synteny detection. Here, we introduce ntSynt, a scalable utility for computing large-scale multi-genome synteny using an alignment-free, minimizer graph-based approach.
Results:
Through benchmarking on vertebrate genomes (~ 3 Gbp) and 11 bee genomes, we demonstrate that ntSynt produces accurate synteny maps with high genome coverage (79-100%) while using modest computational resources (~ 2 h, 34 GB memory).
Conclusions:
ntSynt's efficiency and scalability enable large-scale comparative analyses across the tree of life, providing a robust foundation for downstream comparative and functional genomic studies.
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