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Peer-reviewedCC BYJournal of Evolutionary Biology

ntSynt-viz: visualizing synteny patterns across multiple genomes

  1. 1Department of Basic and Translational Research, BC Cancer Research Institute , 675 W 10th Ave, BC, V5Z 1L3, Vancouver, BC ,
  2. 2BC Cancer Genome Sciences Centre
  3. 3Department of Medical Genetics, University of British Columbia , 6200 University Blvd, V6T 1Z4, Vancouver, BC ,

Abstract

With the explosion of chromosome-scale genome assemblies being generated in recent years, there is vast potential for comparative genomics analyses through detecting multi-genome synteny. While existing tools can detect synteny blocks between multiple genomes, their text-based outputs make it challenging to intuitively explore large-scale synteny patterns. Interpretable, information-rich and easy-to-use synteny visualization tools are imperative to enable important biological insights from the synteny block data output by the aforementioned utilities. Here, we present ntSynt-viz, a command-line tool for automated sorting, normalization, and plotting of multi-genome synteny blocks. We show how ntSynt-viz provides clearer and more easily interpretable chromosome painting ribbon plots compared to the state-of-the-art tools NGenomeSyn and plotsr when evaluating synteny between 14 human genomes, and compared to NGenomeSyn when comparing 9 hoverfly genomes. As plotsr is limited to comparing genomes with equal chromosome numbers, it was not applicable to the hoverfly dataset. Furthermore, we demonstrate how ntSynt-viz can also be applied to visualize syntenic patterns encoded in pangenome graphs, using a Minigraph-Cactus graph built from 16 Drosophila genomes. We expect that ntSynt-viz will provide crucial insights into large-scale synteny patterns between divergent genomes, thereby advancing research into key evolutionary questions.

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BibTeX
@article{coombe2026ntsyntviz,
  title = {{ntSynt-viz: visualizing synteny patterns across multiple genomes}},
  author = {Lauren Coombe and René L. Warren and İnanç Birol},
  journal = {Journal of Evolutionary Biology},
  year = {2026},
  month = sep,
  doi = {10.1093/jeb/voag079},
  url = {https://doi.org/10.1093/jeb/voag079},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - ntSynt-viz: visualizing synteny patterns across multiple genomes
AU  - Lauren Coombe
AU  - René L. Warren
AU  - İnanç Birol
PY  - 2026
DA  - 2026/09/03
JO  - Journal of Evolutionary Biology
DO  - 10.1093/jeb/voag079
UR  - https://doi.org/10.1093/jeb/voag079
AB  - With the explosion of chromosome-scale genome assemblies being generated in recent years, there is vast potential for comparative genomics analyses through detecting multi-genome synteny. While existing tools can detect synteny blocks between multiple genomes, their text-based outputs make it challenging to intuitively explore large-scale synteny patterns. Interpretable, information-rich and easy-to-use synteny visualization tools are imperative to enable important biological insights from the synteny block data output by the aforementioned utilities. Here, we present ntSynt-viz, a command-line tool for automated sorting, normalization, and plotting of multi-genome synteny blocks. We show how ntSynt-viz provides clearer and more easily interpretable chromosome painting ribbon plots compared to the state-of-the-art tools NGenomeSyn and plotsr when evaluating synteny between 14 human genomes, and compared to NGenomeSyn when comparing 9 hoverfly genomes. As plotsr is limited to comparing genomes with equal chromosome numbers, it was not applicable to the hoverfly dataset. Furthermore, we demonstrate how ntSynt-viz can also be applied to visualize syntenic patterns encoded in pangenome graphs, using a Minigraph-Cactus graph built from 16 Drosophila genomes. We expect that ntSynt-viz will provide crucial insights into large-scale synteny patterns between divergent genomes, thereby advancing research into key evolutionary questions.
SN  - 1010-061X
SN  - 1420-9101
ER  -