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Bioinformatics Advance Access published online on January 7, 2009
Bioinformatics, doi:10.1093/bioinformatics/btn656
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© 2009 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

A Novel Method for Large Tree Visualization

Jeff Heard 1, William Kaufmann 2 and Xiaojun Guan 1,*

1Renaissance Computing Institute, 100 Europa Drive, Chapel Hill, NC 27519, USA.
2Department of Pathology and Laboratory of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA.

*To whom correspondence should be addressed. Dr. Xiaojun Guan, E-mail: xguan{at}renci.org


  Abstract

Summary: Many genomic and proteomic analyses generate as a result a tree of genes or proteins. These trees are often large (containing tens of thousands of nodes and edges), and need a visualization tool to fully display all the information contained in the tree. Clustering analysis can be performed on these trees to obtain clusters of proteins, and we need an efficient way to visualize the clustering results. We present a novel tree visualization tool to help with such analyses.

Availability: http://www2.renci.org/~jeff/software/bin/win32/ProteinVis-2.1.6-win32.zip

Contact: jeff{at}renci.org or xguan{at}renci.org

Associate Editor: Dr. Jonathan Wren

Received on September 24, 2008; revised on November 24, 2008; accepted on December 18, 2008

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