MAGNA++
MAGNA++ maximizes node and edge conservation to compute global alignments of biological networks and identify conserved regions across protein-protein interaction networks, gene regulatory networks, and metabolic pathways.
Key Features:
- Enhanced Edge Conservation: Directly maximizes edge conservation during alignment to preserve interactions between nodes.
- Simultaneous Optimization: Enables simultaneous optimization of multiple edge-conservation measures and any selected node-conservation measure.
- Algorithmic Efficiency: Incorporates algorithmic improvements that optimize implementations of edge-conservation measures for faster computation.
- Parallelized Computation: Parallelizes computational processes to utilize available computational resources for large-scale network alignments.
Scientific Applications:
- Protein–protein interaction network alignment: Identify conserved interactions and functional orthologs across species.
- Gene regulatory network alignment: Detect conserved regulatory circuits and network motifs.
- Metabolic pathway alignment: Reveal conserved metabolic modules and pathway-level conservation.
- Comparative evolutionary and functional analysis: Infer evolutionary relationships, functional similarities, and potential targets for therapeutic intervention from conserved network regions.
Methodology:
Constructs global network alignments by maximizing node and edge conservation measures within an algorithmic framework that balances these objectives, using optimized implementations and parallelized computation.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Vijayan V, Saraph V, Milenković T. MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation. Bioinformatics. 2015;31(14):2409-2411. doi:10.1093/bioinformatics/btv161. PMID:25792552.
PMID: 25792552