CFinder

CFinder: locating cliques and overlapping modules in biological networks. Summary: Most cellular tasks are performed not by individual proteins, but by groups of functionally associated proteins, often referred to as modules. In a protein assocation network modules appear as groups of densely interconnected nodes, also called communities or clusters. These modules often overlap with each other and form a network of their own, in which nodes (links) represent the modules (overlaps). We introduce CFinder, a fast program locating and visualizing overlapping, densely interconnected groups of nodes in undirected graphs, and allowing the user to easily navigate between the original graph and the web of these groups. We show that in gene (protein) association networks CFinder can be used to predict the function(s) of a single protein and to discover novel modules. CFinder is also very efficient for locating the cliques of large sparse graphs. Availability: CFinder (for Windows, Linux and Macintosh) and its manual can be downloaded from http://angel.elte.hu/clustering. Supplementary information: Supplementary data are available on Bioinformatics online. Contact:cfinder@angel.elte.hu


References in zbMATH (referenced in 25 articles )

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  1. Jens Lange: CliquePercolation: An R Package for conducting and visualizing results of the clique percolation network community detection algorithm (2021) not zbMATH
  2. Jabbour, Said; Mhadhbi, Nizar; Raddaoui, Badran; Sais, Lakhdar: SAT-based models for overlapping community detection in networks (2020)
  3. Rasti, Saeid; Vogiatzis, Chrysafis: A survey of computational methods in protein-protein interaction networks (2019)
  4. Wang, Jie; Liang, Jiye; Zheng, Wenping; Zhao, Xingwang; Mu, Junfang: Protein complex detection algorithm based on multiple topological characteristics in PPI networks (2019)
  5. Yu, Yang; Zheng, Zeyu: Protein complex identification based on weighted PPI network with multi-source information (2019)
  6. Liu, Wei; Ma, Liangyu; Jeon, Byeungwoo; Chen, Ling; Chen, Bolun: A network hierarchy-based method for functional module detection in protein-protein interaction networks (2018)
  7. Song, Wei; Liu, Huaping; Wang, Jiajia; Kong, Yan; Yin, Xia; Zang, Weidong: MATHT: a web server for comprehensive transcriptome data analysis (2018)
  8. Ozogány, Katalin; Vicsek, Tamás: Modeling the emergence of modular leadership hierarchy during the collective motion of herds made of harems (2015)
  9. Kasabov, Nikola (ed.): Springer handbook of bio-/neuro-informatics (2014)
  10. Mascia, Franco; Pellegrini, Paola; Birattari, Mauro; Stützle, Thomas: An analysis of parameter adaptation in reactive tabu search (2014)
  11. Tóth, Bálint; Vicsek, Tamás; Palla, Gergely: Overlapping modularity at the critical point of (k)-clique percolation (2013)
  12. Ma, Xiaoke; Gao, Lin: Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability (2012) ioport
  13. Pirim, Harun; Ekåioälu, Burak; Perkins, Andy D.; Yüceer, Çetin: Clustering of high throughput gene expression data (2012)
  14. Salter-townshend, M.; White, A.; Gollini, I.; Murphy, T. B.: Review of statistical network analysis: models, algorithms, and software (2012)
  15. Elloumi, Mourad (ed.); Zomaya, Albert Y. (ed.): Algorithms in computational molecular biology. Techniques approaches and applications. (2011)
  16. Yu, Liang; Gao, Lin; Li, Kui; Zhao, Yi; Chiu, David K. Y.: A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification (2011) ioport
  17. Gregory, Steve: Finding overlapping communities in networks by label propagation (2010)
  18. Vijayabaskar, M. S.; Vishveshwara, Saraswathi: Comparative analysis of thermophilic and mesophilic proteins using protein energy networks (2010) ioport
  19. Macropol, Kathy; Can, Tolga; Singh, Ambuj K.: RRW: repeated random walks on genome-scale protein networks for local cluster discovery (2009) ioport
  20. Matsunaga, Tsutomu; Yonemori, Chikara; Tomita, Etsuji; Muramatsu, Masaaki: Clique-based data mining for related genes in a biomedical database (2009) ioport

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