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Motivation: We address the problem of multiple protein-protein interaction (PPI) network alignment. Given a set of such networks for different species we might ask how much the network topology is conserved throughout evolution. Solving this problem will help to derive a subset of interactions that is conserved over multiple species thus forming a 'core(More)
Introduction: With the so-called OMICS technology the scientific community has generated huge amounts of data that allow us to reconstruct the interplay of all kinds of biological entities. The emerging interaction networks are usually modeled as graphs with thousands of nodes and tens of thousands of edges between them. In addition to sequence alignment,(More)
Motivation: A growing number of biological networks of ever increasing sizes are becoming available nowadays, making the ability to solve Network Alignment of primer importance. However, computationally the problem is hard for data sets of real-world sizes. Results: we developed NABEECO, a novel and robust Network Alignment heuristic based on Bee Colony(More)
MOTIVATION In the systems biology era, high-throughput omics technologies have enabled the unraveling of the interplay of some biological entities on a large scale (e.g. genes, proteins, metabolites or RNAs). Huge biological networks have emerged, where nodes correspond to these entities and edges between them model their relations. Protein-protein(More)
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