CompClustTk was designed to expose the basic functionality of CompClust. The idea is to bring the CompClust analysis environment to the biologist. Previously, a basic knowledge of Python programming was required in order to use CompClust. This is still true for some of the most advanced analysis one may wish to do.

We hope that CompClustTk will simplify learning to use CompClust by allowing the user to use CompClust without knowing any Python. If you find CompClustTk too limiting, there are a few tools which will help you to adjust to using Python along with the GUI to do more advanced analysis--whenever you trigger an action, the Python code you would have used to do the same thing in pure Python will be stored in the 'Analysis History' section (View|Toggle Analysis History).

For those of you who are feeling daring or just don't like GUIs that much, you can use iPython to access the internals of the GUI, including any data sets or labelings which you have loaded.

In the following sections of this tutorial, we will be using the Cho et. al., 1998 Cell Cycling data mentioned above located in your CompClustTk/Examples/ChoCellCycling directory.

Brandon King 2005-05-16