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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-34526

von Mering, C; Jensen, L J; Kuhn, M; Chaffron, S; Doerks, T; Krüger, B; Snel, B; Bork, P (2007). STRING 7--recent developments in the integration and prediction of protein interactions. Nucleic Acids Research, 35(Databa):D358-D362.

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Abstract

Information on protein-protein interactions is still mostly limited to a small number of model organisms, and originates from a wide variety of experimental and computational techniques. The database and online resource STRING generalizes access to protein interaction data, by integrating known and predicted interactions from a variety of sources. The underlying infrastructure includes a consistent body of completely sequenced genomes and exhaustive orthology classifications, based on which interaction evidence is transferred between organisms. Although primarily developed for protein interaction analysis, the resource has also been successfully applied to comparative genomics, phylogenetics and network studies, which are all facilitated by programmatic access to the database backend and the availability of compact download files. As of release 7, STRING has almost doubled to 373 distinct organisms, and contains more than 1.5 million proteins for which associations have been pre-computed. Novel features include AJAX-based web-navigation, inclusion of additional resources such as BioGRID, and detailed protein domain annotation. STRING is available at http://string.embl.de/

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
08 University Research Priority Programs > Systems Biology / Functional Genomics
DDC:570 Life sciences; biology
Language:English
Date:2007
Deposited On:09 Jul 2010 15:54
Last Modified:27 Nov 2013 16:53
Publisher:Oxford University Press
ISSN:0305-1048
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:10.1093/nar/gkl825
PubMed ID:17098935
Citations:Web of Science®. Times Cited: 320
Google Scholar™
Scopus®. Citation Count: 378

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