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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The STRING database in 2017 : quality-controlled protein-protein association networks, made broadly accessible. / Szklarczyk, Damian; Morris, John H; Cook, Helen; Kuhn, Michael; Wyder, Stefan; Simonovic, Milan; Santos Delgado, Alberto; Doncheva, Nadezhda T; Roth, Alexander; Bork, Peer; Jensen, Lars J; von Mering, Christian.

In: Nucleic Acids Research, Vol. 45, No. D1, 01.2017, p. D362-D368.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Szklarczyk, D, Morris, JH, Cook, H, Kuhn, M, Wyder, S, Simonovic, M, Santos Delgado, A, Doncheva, NT, Roth, A, Bork, P, Jensen, LJ & von Mering, C 2017, 'The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible', Nucleic Acids Research, vol. 45, no. D1, pp. D362-D368. https://doi.org/10.1093/nar/gkw937

APA

Szklarczyk, D., Morris, J. H., Cook, H., Kuhn, M., Wyder, S., Simonovic, M., Santos Delgado, A., Doncheva, N. T., Roth, A., Bork, P., Jensen, L. J., & von Mering, C. (2017). The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Research, 45(D1), D362-D368. https://doi.org/10.1093/nar/gkw937

Vancouver

Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M et al. The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Research. 2017 Jan;45(D1):D362-D368. https://doi.org/10.1093/nar/gkw937

Author

Szklarczyk, Damian ; Morris, John H ; Cook, Helen ; Kuhn, Michael ; Wyder, Stefan ; Simonovic, Milan ; Santos Delgado, Alberto ; Doncheva, Nadezhda T ; Roth, Alexander ; Bork, Peer ; Jensen, Lars J ; von Mering, Christian. / The STRING database in 2017 : quality-controlled protein-protein association networks, made broadly accessible. In: Nucleic Acids Research. 2017 ; Vol. 45, No. D1. pp. D362-D368.

Bibtex

@article{92ed026218524e558a467fc3857df30a,
title = "The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible",
abstract = "A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein-protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein-protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.",
author = "Damian Szklarczyk and Morris, {John H} and Helen Cook and Michael Kuhn and Stefan Wyder and Milan Simonovic and {Santos Delgado}, Alberto and Doncheva, {Nadezhda T} and Alexander Roth and Peer Bork and Jensen, {Lars J} and {von Mering}, Christian",
note = "{\textcopyright} The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.",
year = "2017",
month = jan,
doi = "10.1093/nar/gkw937",
language = "English",
volume = "45",
pages = "D362--D368",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "D1",

}

RIS

TY - JOUR

T1 - The STRING database in 2017

T2 - quality-controlled protein-protein association networks, made broadly accessible

AU - Szklarczyk, Damian

AU - Morris, John H

AU - Cook, Helen

AU - Kuhn, Michael

AU - Wyder, Stefan

AU - Simonovic, Milan

AU - Santos Delgado, Alberto

AU - Doncheva, Nadezhda T

AU - Roth, Alexander

AU - Bork, Peer

AU - Jensen, Lars J

AU - von Mering, Christian

N1 - © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

PY - 2017/1

Y1 - 2017/1

N2 - A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein-protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein-protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.

AB - A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein-protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein-protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.

U2 - 10.1093/nar/gkw937

DO - 10.1093/nar/gkw937

M3 - Journal article

C2 - 27924014

VL - 45

SP - D362-D368

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - D1

ER -

ID: 170698106