Journal Article

jClust: a clustering and visualization toolbox

Georgios A. Pavlopoulos, Charalampos N. Moschopoulos, Sean D. Hooper, Reinhard Schneider and Sophia Kossida

in Bioinformatics

Volume 25, issue 15, pages 1994-1996
Published in print August 2009 | ISSN: 1367-4803
Published online May 2009 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btp330

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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: http://jclust.embl.de/

Contact: pavlopou@embl.de; rschneid@embl.de; skossida@bioacademy.gr

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1366 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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