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dc.contributor.authorHernandez-Toro, Juan-
dc.contributor.authorPrieto-Sánchez, Carlos-
dc.contributor.authorDe Las Rivas, Javier-
dc.date.accessioned2012-10-31T11:59:01Z-
dc.date.available2012-10-31T11:59:01Z-
dc.date.issued2007-
dc.identifierdoi: 10.1093/bioinformatics/btm373-
dc.identifierissn: 1367-4803-
dc.identifiere-issn: 1460-2059-
dc.identifier.citationBioinformatics 23(18): 2495-2497 (2007)-
dc.identifier.urihttp://hdl.handle.net/10261/59343-
dc.descriptionThis is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License.-
dc.description.abstract[Motivation]: Exploration and analysis of interactome networks at systems level requires unification of the biomolecular elements and annotations that come from many different high-throughput or small-scale proteomic experiments. Only such integration can provide a non-redundant and consistent identification of proteins and interactions. APID2NET is a new tool that works with Cytoscape to allow surfing unified interactome data by querying APID server (http://bioinfow.dep.usal.es/apid/) to provide interactive analysis of protein-protein interaction (PPI) networks. The program is designed to visualize, explore and analyze the proteins and interactions retrieved, including the annotations and attributes associated to them, such as: GO terms, InterPro domains, experimental methods that validate each interaction, PubMed IDs, UniProt IDs, etc. The tool provides interactive graphical representation of the networks with all Cytoscape capabilities, plus new automatic tools to find concurrent functional and structural attributes along all protein pairs in a network. © 2007 The Author(s).-
dc.description.sponsorshipFunding to pay the Open Access publication charges was provided by the Spanish Ministery of Health (MSyC, ISCIII, FIS grant reference PI061153) and Junta Castilla y Leon (grant reference CSI03A06).-
dc.language.isoeng-
dc.publisherOxford University Press-
dc.rightsopenAccess-
dc.titleAPID2NET: Unified interactome graphic analyzer-
dc.typeartículo-
dc.identifier.doi10.1093/bioinformatics/btm373-
dc.relation.publisherversionhttp://dx.doi.org/10.1093/bioinformatics/btm373-
dc.date.updated2012-10-31T11:59:01Z-
dc.description.versionPeer Reviewed-
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