Journal Article

A novel method for large tree visualization

Jeff Heard, William Kaufmann and Xiaojun Guan

in Bioinformatics

Volume 25, issue 4, pages 557-558
Published in print February 2009 | ISSN: 1367-4803
Published online January 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn656

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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@renci.org; xguan@renci.org

Journal Article.  1300 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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