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MSTmap Online: enhanced usability, visualization, and accessibility.

Amirsadra Mohseni1, Stefano Lonardi1

  • 1Computer Science and Engineering, University of California, Riverside, CA 92521, United States.

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|April 23, 2025
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Summary
This summary is machine-generated.

MSTmap Online provides a user-friendly web platform for constructing and visualizing genetic linkage maps from genotypic data. This free tool aids population genetics and plant breeding research with quick computations and publication-ready outputs.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Genetic linkage maps are crucial for population genetics and plant breeding.
  • Existing online tools for creating these maps are limited in user-friendliness and accessibility.

Purpose of the Study:

  • To introduce MSTmap Online, a novel web server for constructing and visualizing genetic linkage maps.
  • To provide researchers with an accessible and efficient platform for genetic analysis.

Main Methods:

  • The MSTmap algorithm is employed for rapid computation of linkage groups from genotypic data.
  • The platform offers asynchronous processing and bookmarking for user convenience.
  • Detailed output files, including PDF visualizations, are generated.

Main Results:

  • MSTmap Online successfully generates high-quality genetic linkage maps.
  • The web server provides publication-ready visualizations.
  • A companion Python library facilitates integration into existing analysis workflows.

Conclusions:

  • MSTmap Online addresses the scarcity of user-friendly tools for genetic linkage map construction.
  • The platform enhances accessibility for population genetics and plant breeding research.
  • The tool and its library are freely available, promoting wider adoption and research advancement.