title: GASOLINE: a Cytoscape app for multiple local alignment of PPI networks.
abstract: 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 algorithm. GASOLINE starts with the identification of sets of similar nodes, called seeds of the alignment. Alignments are then extended in a greedy manner and finally refined. Both the identification of seeds and the extension of alignments are performed through an iterative Gibbs sampling strategy. GASOLINE is a 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.
authors.affiliation: Department of Computer Science, University of Pisa, Pisa, 56127, Italy.
authors.forename: Giovanni
authors.initials: G
authors.lastname: Micale
authors.affiliation: Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, 20133, Italy.
authors.forename: Andrea
authors.initials: A
authors.lastname: Continella
authors.affiliation: Department of Clinical and Molecular Biomedicine, University of Catania, Catania, 95125, Italy.
authors.forename: Alfredo
authors.initials: A
authors.lastname: Ferro
authors.affiliation: Department of Clinical and Molecular Biomedicine, University of Catania, Catania, 95125, Italy.
authors.forename: Rosalba
authors.initials: R
authors.lastname: Giugno
authors.affiliation: Department of Clinical and Molecular Biomedicine, University of Catania, Catania, 95125, Italy.
authors.forename: Alfredo
authors.initials: A
authors.lastname: Pulvirenti