Soochika is a comprehensive microarray data mining and management tool, which employs extensive data cleaning, filtering, transformation and normalization techniques. Soochika has three main analysis pipelines- cluster analysis (which includes multiple clustering techniques like K-Means, Hierarchical, Random Walk, Percolation, SOM, Eigen-Value Based clustering, etc), predictive model building (which includes supervised machine learning techniques like SVM, Neural Networks, Decision Tree analysis and linear regression), and differential analysis (including two-way tests, ANOVAs, and other techniques). Soochika also includes an annotation module, which allows the user to pull and organize all relevant information on gene sequences of interest for further analysis. This software is available for both desktop and enterprise wide deployment and runs on Windows, UNIX, Mac OS X and Linux systems.