The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

Published online 18 October 2016 | Damian Szklarczyk1, John H Morris2, Helen Cook3, Michael Kuhn4, Stefan Wyder1, Milan Simonovic1, Alberto Santos3, Nadezhda T Doncheva3, Alexander Roth1, Peer Bork4,5,6,7,* Lars J. Jensen3,* and Christian von Mering1,*
The STRING database, maintained by a team of researchers from various European institutions, aims to provide a comprehensive and quality-controlled resource for protein-protein interaction networks. The latest version 10.5 of STRING has been significantly improved in terms of data dissemination and usability. The web frontend has been redesigned to reduce dependency on outdated browser technologies, and the database can now be queried directly from the Cytoscape software framework. Interaction predictions in STRING are derived from multiple sources, including experimental data, curated pathways, text mining, and computational predictions based on gene orthology. Each interaction is annotated with benchmarked confidence scores, and the evidence supporting each interaction is categorized into seven channels. The database covers a wide range of organisms and provides detailed information on protein interactions, including gene-locus resolution. The STRING resource is widely used for network analysis, functional enrichment testing, and molecular discovery, and is available online at http://string-db.org/.The STRING database, maintained by a team of researchers from various European institutions, aims to provide a comprehensive and quality-controlled resource for protein-protein interaction networks. The latest version 10.5 of STRING has been significantly improved in terms of data dissemination and usability. The web frontend has been redesigned to reduce dependency on outdated browser technologies, and the database can now be queried directly from the Cytoscape software framework. Interaction predictions in STRING are derived from multiple sources, including experimental data, curated pathways, text mining, and computational predictions based on gene orthology. Each interaction is annotated with benchmarked confidence scores, and the evidence supporting each interaction is categorized into seven channels. The database covers a wide range of organisms and provides detailed information on protein interactions, including gene-locus resolution. The STRING resource is widely used for network analysis, functional enrichment testing, and molecular discovery, and is available online at http://string-db.org/.
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