2-AIN-506, 2-AIN-252: Seminar in Bioinformatics (2), (4)
Summer 2026
Abstrakt

Lauren Coombe, Parham Kazemi, Johnathan Wong, Inanc Birol, Rene L. Warren. ntSynt: multi-genome synteny detection using minimizer graph mappings. BMC biology, 23(1):367. 2025.

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Download from publisher: https://doi.org/10.1186/s12915-025-02455-w PubMed

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Abstract:

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.