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Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks

Genome Research · 2003 · Vol. 13(11) · pp. 2498–2504
Paul ShannonAndrew MarkielOwen OzierNitin S. BaligaJonathan T. WangDaniel RamageNada AminBenno SchwikowskiTrey Ideker

Abstract

Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.

Bioinformatics and Genomic NetworksMicrobial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisComputational biologyBiologyInteraction networkSoftwareInferenceGene regulatory networkInterface (matter)Biological networkComputer scienceSystems biology

MeSH terms

AlgorithmsHalobacteriumModels, BiologicalBacteriophage lambdaPhenotypeSoftwareSoftware DesignStochastic ProcessesNeural Networks, ComputerComputational BiologyArchaeal ProteinsInternet

Funding

  • National Science Foundation
  • Pfizer
  • National Institutes of Health
Citations
53,132
FWCI
field-weighted impact
References
35
Percentile
vs. same field & year
Citations per year
References
Cluster analysis and display of genome-wide expression patterns
Proceedings of the National Academy of Sciences · 1998 · 16,353 citations
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