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Bioinformatics. 2013 Aug 1;29(15):1872-8. doi: 10.1093/bioinformatics/btt319. Epub 2013 Jun 7.

Network2Canvas: network visualization on a canvas with enrichment analysis.

Author information

  • 1Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Abstract

MOTIVATION:

Networks are vital to computational systems biology research, but visualizing them is a challenge. For networks larger than ∼100 nodes and ∼200 links, ball-and-stick diagrams fail to convey much information. To address this, we developed Network2Canvas (N2C), a web application that provides an alternative way to view networks. N2C visualizes networks by placing nodes on a square toroidal canvas. The network nodes are clustered on the canvas using simulated annealing to maximize local connections where a node's brightness is made proportional to its local fitness. The interactive canvas is implemented in HyperText Markup Language (HTML)5 with the JavaScript library Data-Driven Documents (D3). We applied N2C to visualize 30 canvases made from human and mouse gene-set libraries and 6 canvases made from the Food and Drug Administration (FDA)-approved drug-set libraries. Given lists of genes or drugs, enriched terms are highlighted on the canvases, and their degree of clustering is computed. Because N2C produces visual patterns of enriched terms on canvases, a trained eye can detect signatures instantly. In summary, N2C provides a new flexible method to visualize large networks and can be used to perform and visualize gene-set and drug-set enrichment analyses.

AVAILABILITY:

N2C is freely available at http://www.maayanlab.net/N2C and is open source.

CONTACT:

avi.maayan@mssm.edu

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
23749960
PMCID:
PMC3712222
DOI:
10.1093/bioinformatics/btt319
[PubMed - indexed for MEDLINE]
Free PMC Article
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