scholarly journals Detection of Locally Over-Represented GO Terms in Protein-Protein Interaction Networks

2010 ◽  
Vol 17 (3) ◽  
pp. 443-457 ◽  
Author(s):  
Mathieu Lavallée-Adam ◽  
Benoit Coulombe ◽  
Mathieu Blanchette
F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 140 ◽  
Author(s):  
Giovanni Micale ◽  
Andrea Continella ◽  
Alfredo Ferro ◽  
Rosalba Giugno ◽  
Alfredo Pulvirenti

Comparing protein interaction networks can reveal interesting patterns of interactions for a specific function or process in distantly related species. In this paper we present GASOLINE, a Cytoscape app for multiple local alignments of PPI (protein-protein interaction) networks. The app is based on the homonymous greedy and stochastic algorithms. To the authors knowledge, it is the first Cytoscape app for computing and visualizing local alignments, without requiring any post-processing operations. GO terms can be easily attached to the aligned proteins for further functional analysis of alignments. GASOLINE can perform the alignment task in few minutes, even for a large number of input networks.


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