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      Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data

      1 , 2 , 3 , 4 , 2 , 3 , 1 , 2
      Journal of Proteome Research
      American Chemical Society (ACS)

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          Abstract

          Protein networks have become a popular tool for analyzing and visualizing the often long lists of proteins or genes obtained from proteomics and other high-throughput technologies. One of the most popular sources of such networks is the STRING database, which provides protein networks for more than 2000 organisms, including both physical interactions from experimental data and functional associations from curated pathways, automatic text mining, and prediction methods. However, its web interface is mainly intended for inspection of small networks and their underlying evidence. The Cytoscape software, on the other hand, is much better suited for working with large networks and offers greater flexibility in terms of network analysis, import, and visualization of additional data. To include both resources in the same workflow, we created stringApp, a Cytoscape app that makes it easy to import STRING networks into Cytoscape, retains the appearance and many of the features of STRING, and integrates data from associated databases. Here, we introduce many of the stringApp features and show how they can be used to carry out complex network analysis and visualization tasks on a typical proteomics data set, all through the Cytoscape user interface. stringApp is freely available from the Cytoscape app store: http://apps.cytoscape.org/apps/stringapp .

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          Author and article information

          Journal
          Journal of Proteome Research
          J. Proteome Res.
          American Chemical Society (ACS)
          1535-3893
          1535-3907
          December 05 2018
          December 05 2018
          Affiliations
          [1 ]Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen N, Denmark
          [2 ]Center for Non-Coding RNA in Technology and Health, University of Copenhagen, 1870 Frederiksberg C, Denmark
          [3 ]Department of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark
          [4 ]Resource on Biocomputing, Visualization, and Informatics, University of California, San Francisco, California 94158-2517, United States
          Article
          10.1021/acs.jproteome.8b00702
          6800166
          30450911
          4cc2707f-22b3-41c4-9bc8-7754e6489679
          © 2018
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