Creators
MSTmap was developed by Yonghui Wu (PhD 2008, CS&E, Distinguished Engineer at Google Brain), Dr. Prasanna Bhat (postdoc, Botany and Plant Sciences), Dr. Timothy J. Close (Professor, Botany and Plant Sciences), and Dr. Stefano Lonardi (Professor, Computer Science), at the University of California, Riverside (UCR). This web server, along with the Python library, were created by Amirsadra Mohseni (Ph.D. candidate, Computer Science). Please forward any inquiry to Stefano Lonardi (stelo@cs.ucr.edu).
Code and Downloads
Below you may find the various ways to download MSTmap to your local machine and use it for your experiments.
- Python library https://github.com/ucrbioinfo/MSTmap-Python
- C++ executable https://github.com/ucrbioinfo/MSTmap
- Conda executable https://anaconda.org/bioconda/mstmap
- R Package https://rdrr.io/cran/ASMap/man/mstmap.cross.html
References
If you use MSTMap Online or any of the provided packages, please cite at least the latest paper:
Mohseni, A., & Lonardi, S. (2025). MSTmap Online: enhanced usability, visualization, and accessibility. Nucleic Acids Research, gkaf332.
Wu, Y., Bhat, P., Close, T. J., & Lonardi, S. (2007). Efficient and accurate construction of genetic linkage maps from noisy and missing genotyping data. In Algorithms in Bioinformatics: 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007. Proceedings 7 (pp. 395-406). Springer Berlin Heidelberg.
Wu, Y., Bhat, P. R., Close, T. J., & Lonardi, S. (2008). Efficient and accurate construction of genetic linkage maps from the minimum spanning tree of a graph. PLoS genetics, 4(10), e1000212.
Copyright
MSTmap is free for all users, academic and commercial alike. For questions about the tool, please contact Stefano Lonardi.