Reference: Vipin Vijayan and Tijana Milenkovic, Multiple network alignment via multiMAGNA++, IEEE/ACM Transactions on Computational Biology and Bioinformatics, PP(99):1, DOI: 10.1109/TCBB.2017.2740381, 2017.

Note: this work was presented as a talk at the 15th International Workshop on Data Mining in Bioinformatics (BIOKDD) at the 22nd ACM SIGKDD 2016 Conference on Knowledge Discovery & Data Mining (KDD), San Francisco, CA, USA, August 13-17, 2016.

MultiMAGNA++ is our method for multiple (global) network alignment. An example of an application domain where multiMAGNA++ is useful is computational biology: multiMAGNA++ can be used for biological network alignment, i.e., to align molecular networks of different species and consequently allow for the transfer of biological knowledge from well-studied to poorly-studied species between conserved (aligned) network regions.

Supplementary Material for our multiMAGNA++ paper is available for download here.

The code, sample data, and documentation of multiMAGNA++ are available for download here.

The networks used in the paper are available here.

Vipin Vijayan may be contacted via email at vvijayan [at] nd [dot] edu and Prof. Tijana Milenkovic can be contacted via email at tmilenko [at] nd [dot] edu.

multiMAGNA++ is an extension of MAGNA++ from pairwise to multiple network alignment. MAGNA++ appeared in the following publication: Vipin Vijayan, Vikram Saraph and Tijana Milenkovic, MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation, Bioinformatics, 31(44), 2409-2411, 2015. MAGNA++ is a comprehensive framework for pairwise network alignment, which is based on the underlying MAGNA algorithm. MAGNA appeared in the following publication: Vikram Saraph and Tijana Milenkovic, MAGNA: Maximizing Accuracy in Global Network Alignment, Bioinformatics, 30(20), 2931-2940, 2014.