![]() Indeed, such networks are very frequently shown in proteomics publications. Protein network resources, in particular the STRING database, 1 have proven highly useful for providing such context. Modern high-throughput technologies, including proteomics, produce an ever growing flow of new data on individual genes and proteins, which need to be interpreted in light of cellular context and existing biological knowledge. stringApp is freely available from the Cytoscape app store. 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. 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. 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. However, its web interface is mainly intended for inspection of small networks and their underlying evidence. 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. ![]() 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. ![]()
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