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Bioinformatics Advance Access originally published online on May 14, 2004
Bioinformatics 2004 20(16):2869-2871; doi:10.1093/bioinformatics/bth307
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Bioinformatics vol. 20 issue 16 © Oxford University Press 2004; all rights reserved.

Applications Note

ClutrFree: cluster tree visualization and interpretation

Ghislain Bidaut 1,2 and Michael F. Ochs 1,*

1 Division of Population Science, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA and 2 Structural and Genomic Information Laboratory, CNRS-UPR 2589, 13402 Marseille, France

Received on September 29, 2003; revised on March 24, 2004; accepted on April 28, 2004
Advance Access Publication May 14, 2004

Summary: ClutrFree facilitates the visualization and interpretation of clusters or patterns computed from microarray data through a graphical user interface that displays patterns, membership information of the genes and annotation statistics simultaneously. ClutrFree creates a tree linking the patterns based on similarity, permitting the navigation among patterns identified by different algorithms or by the same algorithm with different parameters, and aids the inferring of conclusions from a microarray experiment.

Availability: The ClutrFree Java source code and compiled bytecode are available as a package under the GNU General Public License at http://bioinformatics.fccc.edu

Supplementary information: Extended documentation on the software usage, as well as supplemental figures and an appropriate test dataset are provided on the website.

Contact: Ghislain.Bidaut{at}fccc.edu; Michael.Ochs{at}fccc.edu

* To whom correspondence should be addressed.


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