jClust: a clustering and visualization toolbox.
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.


BACKGROUND
http://jclust.embl.de/.


BACKGROUND
Supplementary data are available at Bioinformatics online.
Pavlopoulos
Georgios A
GA
Structural and Computational Biology Unit, EMBL Meyerhofstrasse 1, Heidelberg, Germany. pavlopou@embl.de
Moschopoulos
Charalampos N
CN
Hooper
Sean D
SD
Schneider
Reinhard
R
Kossida
Sophia
S
D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D010363:Pattern Recognition, Automated / Q000379:methods*; D012984:Software