title: Analyzing protein-protein interaction networks.
abstract: The advent of the "omics" era in biology research has brought new challenges and requires the development of novel strategies to answer previously intractable questions. Molecular interaction networks provide a framework to visualize cellular processes, but their complexity often makes their interpretation an overwhelming task. The inherently artificial nature of interaction detection methods and the incompleteness of currently available interaction maps call for a careful and well-informed utilization of this valuable data. In this tutorial, we aim to give an overview of the key aspects that any researcher needs to consider when working with molecular interaction data sets and we outline an example for interactome analysis. Using the molecular interaction database IntAct, the software platform Cytoscape, and its plugins BiNGO and clusterMaker, and taking as a starting point a list of proteins identified in a mass spectrometry-based proteomics experiment, we show how to build, visualize, and analyze a protein-protein interaction network.
authors.affiliation: European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
authors.forename: Gavin C K W
authors.initials: GC
authors.lastname: Koh
authors.forename: Pablo
authors.initials: P
authors.lastname: Porras
authors.forename: Bruno
authors.initials: B
authors.lastname: Aranda
authors.forename: Henning
authors.initials: H
authors.lastname: Hermjakob
authors.forename: Sandra E
authors.initials: SE
authors.lastname: Orchard
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D030562:Databases, Protein; D057166:High-Throughput Screening Assays / Q000379:methods; D006801:Humans; D025941:Protein Interaction Mapping / Q000379:methods*; D060066:Protein Interaction Maps; D040901:Proteomics / Q000193:education / Q000379:methods*; D014584:User-Computer Interface