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GASOLINE: a Cytoscape app for multiple local alignment of PPI networks [v2; ref status: indexed, http://f1000r.es/4f7]

Authors :
Giovanni Micale
Andrea Continella
Alfredo Ferro
Rosalba Giugno
Alfredo Pulvirenti
Source :
F1000Research, Vol 3 (2014)
Publication Year :
2014
Publisher :
F1000 Research Ltd, 2014.

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.

Subjects

Subjects :
Bioinformatics
Medicine
Science

Details

Language :
English
ISSN :
20461402 and 42923212
Volume :
3
Database :
Directory of Open Access Journals
Journal :
F1000Research
Publication Type :
Academic Journal
Accession number :
edsdoj.5060eff66eb148079e98d429232126d7
Document Type :
article
Full Text :
https://doi.org/10.12688/f1000research.4537.2