Bioinformatics Advance Access published online on May 19, 2009
Bioinformatics, doi:10.1093/bioinformatics/btp330
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
jClust: A clustering and visualization toolbox.
,*
,*
1 Structural and Computational Biology Unit, EMBL Meyerhofstrasse 1, Heidelberg, Germany.
2 Bioinformatics & Medical Informatics Team, Biomedical Research Foundation of the Academy of Athens, Soranou Efesiou 4, GR-11527, Athens, Greece
3 Department of Energy Joint Genome Institute (DOE-JGI), Genome Biology Program, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
*To whom correspondence should be addressed. Mr. Georgios Pavlopoulos, E-mail: pavlopou{at}embl.de
| Abstract |
|---|
jClust is a user friendly application which provides access to a set of widely used clustering and clique finding algorithms. The toolbox allows a range of filtering procedures to be applied and is combined with an advanced implementation of the Medusa interactive visualization module. These implemented algorithms are k-Means, Affinity Propagation, Bron-Kerbosch, MULIC, Restricted Neighborhood Search Cluster Algorithm, Markov Clustering and Spectral Clustering while the supported filtering procedures are haircut, outside-inside, best neighbors and density control operations. The combination of a simple input file format, a set of clustering and filtering algorithms linked together with the visualization tool provides a powerful tool for data analysis and information extraction.
Availability and supplementary material: http://jclust.embl.de/
Associate Editor: Dr. Jonathan Wren
# Equal contribution to this work.
These authors contributed equally.
Received on March 16, 2009; revised on April 27, 2009; accepted on April 15, 2009