The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
CFinder: locating cliques and overlapping modules in biological networks
Open accessAbstract
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 . Supplementary information: Supplementary data are available on Bioinformatics online. Contact: cfinder@angel.elte.hu
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Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
An automated method for finding molecular complexes in large protein interaction networks
Bader, G. D., & Hogue, C. W. (2003) · BMC Bioinformatics · doi:10.1186/1471-2105-4-2 · Cited by 6,072
Uncovering the overlapping community structure of complex networks in nature and society
Palla, G., Derényi, I., Farkas, I., & Vicsek, T. (2005) · Nature · doi:10.1038/nature03607 · Cited by 5,373
Self-citationThe Database of Interacting Proteins: 2004 update
Salwinski, L. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh086 · Cited by 2,271
Boyle, E. I., Weng, S., Gollub, J., Jin, H., Botstein, D., Cherry, J. M., & Sherlock, G. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth456 · Cited by 2,067
Detecting community structure in networks
Newman, M. E. J. (2004) · The European Physical Journal B - Condensed Matter · doi:10.1140/epjb/e2004-00124-y · Cited by 2,028
von Mering, C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki005 · Cited by 1,764
Pajek - Program for Large Network Analysis
Batagelj, V., & Mrvar, A. (1999) · Cited by 1,414
Modular organization of cellular networks
Rives, A. W., & Galitski, T. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0237338100 · Cited by 703
Clique Percolation in Random Networks
Derényi, I., Palla, G., & Vicsek, T. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.160202 · Cited by 558
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Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
Structure and dynamics of molecular networks: A novel paradigm of drug discovery
Csermely, P., Korcsmáros, T., Kiss, H. J. M., London, G., & Nussinov, R. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.01.016 · Cited by 892
Getting connected: analysis and principles of biological networks
Zhu, X., Gerstein, M., & Snyder, M. (2007) · Genes & Development · doi:10.1101/gad.1528707 · Cited by 554
Complex discovery from weighted PPI networks
Liu, G., Wong, L., & Chua, H. N. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp311 · Cited by 470
Computational approaches for detecting protein complexes from protein interaction networks: a survey
Li, X., Wu, M., Kwoh, C.-K., & Ng, S.-K. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-s1-s3 · Cited by 349
Metadata
- Authors
- Adamcsek, B., Palla, G., Farkas, I. J., Derényi, I., & Vicsek, T.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-02-10
- Volume
- 22
- Issue
- 8
- Pages
- 1021-1023
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2165533101
- Cited by
- 933
- References
- 12
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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