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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 that 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. Cluster 3.0 is an enhanced version of Cluster, which was originally developed by Michael Eisen while at Stanford University. Barbie horse adventures no cd crack. Cluster 3.0 was built for the Microsoft Windows platform, and later ported to Mac OS X (Cocoa build for Mac OS X v10.0 or later) and to Linux/Unix using Motif. In addition to the GUI program, Cluster 3.0 can also be run as a command line program. For more information, please consult the online manual. Java TreeView Python is a scripting language with excellent support for numerical work through the Numerical Python package, providing a functionality similar to Matlab and R. This makes Python together with Numerical Python an ideal tool for analyzing genome-wide expression data. Pycluster now uses the 'new' Numerical Python (version 1.3 or later). Algorithm::Cluster, written by John Nolan of the University of California, Santa Cruz, is a Perl module that makes use of the C Clustering Library. Some example Perl scripts are available in the The routines in the C clustering library can be included in or linked to other C programs (this is how we built Cluster 3.0). To use the C clustering library, simply collect the relevant source files from the source code distribution. As of version 1.04, the C clustering library complies with the ANSI C standard. Download: source code; manual in PDF format. License The C clustering library and Pycluster were released under the Python License. Algorithm::Cluster was released under the Artistic License. The GUI-codes Cluster 3.0 for Windows, Mac OS X, and Linux/Unix, as well as the command line version of Cluster 3.0 are still covered by the original Cluster/TreeView license. Acknowledgment We would like to thank Michael Eisen of Berkeley Lab for making the source code of Cluster/TreeView 2.11 available. Without this source code, it would have been much harder to develop Cluster 3.0. |