Creators
MSTmap was developed by Yonghui Wu (Ph.D. student, Computer Science), Dr. Prasanna Bhat (post-doc, 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 Amir Mohseni (Ph.D. student, 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
Y. Wu, P. Bhat, T. J Close, S. Lonardi. 2007. Efficient and Accurate Construction of Genetic Linkage Maps from Noisy and Missing Genotyping Data.
WABI 2007 - Workshop on Algorithms in Bioinformatics,
LNBI 4645, pp.395-406, Philadelphia PA.
Yonghui Wu, Prasanna R. Bhat, Timothy J. Close, Stefano Lonardi. 2008.
Efficient and Accurate Construction of Genetic Linkage Maps from the Minimum Spanning Tree of a Graph
PLOS Genetics 4:e1000212.
Copyright
MSTmap is free for all users, academic and commercial alike. For questions about the tool, please contact Stefano Lonardi.