MSTmap Online: enhanced usability, visualization, and accessibility
Genetic linkage maps are an essential tool in population genetics and plant breeding research, yet user-friendly online tools for constructing and visualizing them remain scarce. MSTmap Online addresses this gap by providing a modern, accessible platform for generating high-quality genetic linkage maps from genotypic data. The web server quickly computes linkage groups using the MSTmap algorithm and generates detailed output files, including publication-ready PDF visualizations of linkage groups. The server supports bookmarking and asynchronous processing, allowing users to revisit their results at a later time. A companion Python library for MSTmap Online enables seamless integration into custom analysis pipelines. MSTmap Online is free and open to all users with no login requirement at https://mstmap.org. The companion Python library is available at https://pypi.org/project/mstmap/.
Authors
- Amirsadra Mohseni (ORCID: https://orcid.org/0000-0003-0735-6846)
- Stefano Lonardi (ORCID: https://orcid.org/0000-0002-2696-7274)
Institutions
- University of California, Riverside (US)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1093/nar/gkaf332
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- National Institutes of Health
- Division of Chemical, Bioengineering, Environmental, and Transport Systems