MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation. Results: MAGNA++ introduces several novelties: (i) it simultaneously maximizes any one of three different measures of edge conservation (including our recent superior S3 measure) and any desired node conservation measure, which further improves alignment quality compared with maximizing only node conservation or only edge conservation; (ii) it speeds up the original MAGNA algorithm by parallelizing it to automatically use all available resources, as well as by reimplementing the edge conservation measures more efficiently; (iii) it provides a friendly graphical user interface for easy use by domain (e.g. biological) scientists; and (iv) at the same time, MAGNA++ offers source code for easy extensibility by computational scientists. Availability and implementation: http://www.nd.edu/∼cone/MAGNA++/
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References in zbMATH (referenced in 2 articles )
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- Wang, Chenxu; Wang, Yang; Zhao, Zhiyuan; Qin, Dong; Luo, Xiapu; Qin, Tao: Credible seed identification for large-scale structural network alignment (2020)
- El-Kebir, Mohammed; Heringa, Jaap; Klau, Gunnar W.: Natalie 2.0: sparse global network alignment as a special case of quadratic assignment (2015)