MSClustering: A Cytoscape Tool for Multi-Level Clustering of Biological Networks

Bo Kai Ge, Geng Ming Hu, Rex Chen, Chi Ming Chen*


研究成果: 雜誌貢獻期刊論文同行評審


MSClustering is an efficient software package for visualizing and analyzing complex networks in Cytoscape. Based on the distance matrix of a network that it takes as input, MSClustering automatically displays the minimum span clustering (MSC) of the network at various characteristic levels. To produce a view of the overall network structure, the app then organizes the multi-level results into an MSC tree. Here, we demonstrate the package’s phylogenetic applications in studying the evolutionary relationships of complex systems, including 63 beta coronaviruses and 197 GPCRs. The validity of MSClustering for large systems has been verified by its clustering of 3481 enzymes. Through an experimental comparison, we show that MSClustering outperforms five different state-of-the-art methods in the efficiency and reliability of their clustering.

期刊International journal of molecular sciences
出版狀態已發佈 - 2022 11月

ASJC Scopus subject areas

  • 催化
  • 分子生物學
  • 光譜
  • 電腦科學應用
  • 物理與理論化學
  • 有機化學
  • 無機化學


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