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Cluster 3.0 The open source clustering software available here implement the most commonly used clustering methods for gene expression data analysis. The clustering methods can be used in several ways. Cluster 3.0 provides a Graphical User Interface to access to the clustering routines. It is available for Windows, Mac OS X, and Linux/Unix. Python users can access the clustering routines by using Pycluster, which is an extension module to Python. People who want to make use of the clustering algorithms in their own C, C++, or Fortran programs can download the source code of the C Clustering Library.

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Page last modified on August 23, 2011 at 13:35