CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks. BACKGROUND AND SCOPE: Nowadays, centrality analysis has become a principal method for identifying essential proteins in biological networks. Here we present CytoNCA, a Cytoscape plugin integrating calculation, evaluation and visualization analysis for multiple centrality measures. IMPLEMENTATION AND PERFORMANCE: (i) CytoNCA supports eight different centrality measures and each can be applied to both weighted and unweighted biological networks. (ii) It allows users to upload biological information of both nodes and edges in the network, to integrate biological data with topological data to detect specific nodes. (iii) CytoNCA offers multiple potent visualization analysis modules, which generate various forms of output such as graph, table, and chart, and analyze associations among all measures. (iv) It can be utilized to quantitatively assess the calculation results, and evaluate the accuracy by statistical measures. (v) Besides current eight centrality measures, the biological characters from other sources could also be analyzed and assessed by CytoNCA. This makes CytoNCA an excellent tool for calculating centrality, evaluating and visualizing biological networks. AVAILABILITY: http://apps.cytoscape.org/apps/cytonca.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Li, Gaoshi; Li, Min; Peng, Wei; Li, Yaohang; Pan, Yi; Wang, Jianxin: A novel extended Pareto optimality consensus model for predicting essential proteins (2019)
- Ren, Zhuo-Ming; Zeng, An; Zhang, Yi-Cheng: Structure-oriented prediction in complex networks (2018)