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PMID: 14597658 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Genome research ·Vol. 13 ·No. 11 ·2003-11-00 ·Pages 2498-504

Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T

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.

MeSH Terms
Algorithms Archaeal Proteins/chemistry,metabolism Bacteriophage lambda/physiology Computational Biology/methods Halobacterium/chemistry,cytology,physiology Internet Models, Biological Neural Networks, Computer Phenotype Software/trends Software Design Stochastic Processes
Chemicals
Archaeal Proteins
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Shannon Paul
Institute for Systems Biology, Seattle, Washington 98103, USA.
Markiel Andrew
Ozier Owen
Baliga Nitin S
Wang Jonathan T
Ramage Daniel
Amin Nada
Schwikowski Benno
Ideker Trey
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Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1088-9051
Published
2003-11-00
Pages
2498-504
Language
English
Region
United States
NLM ID
9518021
PMCID
PMC403769
Subset
IM
Grants
NIGMS NIH HHS · P20 GM064361 · United States
NIGMS NIH HHS · P20 GM64361 · United States
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