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Detalle de: STRING v10: protein–protein interaction networks, integrated over the tree of life

Title STRING v10: protein–protein interaction networks, integrated over the tree of life
Abstract

The many functional partnerships and interactions that occur between proteins are at the core of cellular processing and their systematic characterization helps to provide context in molecular systems biology. However, known and predicted interactions are scattered over multiple resources, and the available data exhibit notable differences in terms of quality and completeness. The STRING database (http://string-db.org) aims to provide a critical assessment and integration of protein-protein interactions, including direct (physical) as well as indirect (functional) associations. The new version 10.0 of STRING covers more than 2000 organisms, which has necessitated novel, scalable algorithms for transferring interaction information between organisms. For this purpose, we have introduced hierarchical and self-consistent orthology annotations for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution. Further improvements in version 10.0 include a completely redesigned prediction pipeline for inferring protein-protein associations from co-expression data, an API interface for the R computing environment and improved statistical analysis for enrichment tests in user-provided networks.

Apa Reference Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D., Huerta-Cepas, J., Simonovic, M., Roth, A., Santos, A., Tsafou, K.P., Kuhn, M., Bork, P., Jensen, L.J. & von Mering, C. (2014). STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucleic Acids Research, 43(D1), D447-D452. 10.1093/nar/gku1003
Doi 10.1093/nar/gku1003
Publication Date 28 Oct 2014
Publication Type Article
Researcher Jaime Huerta Cepas
Ontology Biological Databases, Systems Biology, Phylogenetic Analysis, Network Biology, Protein-Protein Interactions, Comparative Genomics
Research Groups
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