期刊
JOURNAL OF PROTEOME RESEARCH
卷 18, 期 2, 页码 623-632出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.8b00702
关键词
protein networks; STRING database; Cytoscape; network analysis; network visualization; proteomics data; functional enrichment
资金
- Novo Nordisk Foundation [NNF14CC0001]
- Danish Council for Independent Research [DFF-4005-00443]
- National Institutes of Health [NIGMS P41 GM103504]
- Chan Zuckerberg Initiative DAF [2018-183120]
- Silicon Valley Community Foundation
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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