Cytoscape 2.8: new features for data integration and network visualization - PubMed (original) (raw)

Cytoscape 2.8: new features for data integration and network visualization

Michael E Smoot et al. Bioinformatics. 2011.

Abstract

Cytoscape is a popular bioinformatics package for biological network visualization and data integration. Version 2.8 introduces two powerful new features--Custom Node Graphics and Attribute Equations--which can be used jointly to greatly enhance Cytoscape's data integration and visualization capabilities. Custom Node Graphics allow an image to be projected onto a node, including images generated dynamically or at remote locations. Attribute Equations provide Cytoscape with spreadsheet-like functionality in which the value of an attribute is computed dynamically as a function of other attributes and network properties.

Availability and implementation: Cytoscape is a desktop Java application released under the Library Gnu Public License (LGPL). Binary install bundles and source code for Cytoscape 2.8 are available for download from http://cytoscape.org.

PubMed Disclaimer

Figures

Fig. 1.

Fig. 1.

Rich network visualizations enabled by the new Cytoscape features. Simple networks are shown with custom node images based on (A) pie chart displays or (B) line plots and bar charts generated using Google's Chart API. (C) Nodes have a transparent custom graphic to give the appearance of shading. (D and E) Protein–protein interaction networks in which each node contains a 3D image of the protein structure of the protein represented by the node.

Similar articles

Cited by

References

    1. Cline MS, et al. Integration of biological networks and gene expression data using Cytoscape. Nat. Protoc. 2007;2:2366–2382. - PMC - PubMed
    1. Fowler JH, et al. Model of genetic variation in human social networks. Proc. Natl Acad. Sci. 2009;106:1720–1724. - PMC - PubMed
    1. Shannon P, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–2504. - PMC - PubMed
    1. Tan K, et al. Transcriptional regulation of protein complexes within and across species. Proc. Natl Acad. Sci. USA. 2007;104:1283. - PMC - PubMed

Publication types

MeSH terms

Grants and funding

LinkOut - more resources