Strand Genomics Pvt Ltd (Strand), a life sciences informatics company, has announced the licensing of its micro-array data mining and management product, 'Soochika' to Lilly Systems Biology Pte Ltd, Singapore, a division of Eli Lilly and Company, one of the world's leading pharmaceutical companies.

Soochika is a comprehensive microarray data mining and management tool, which employs extensive data cleaning, filtering, transformation and normalization techniques.

The product 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.

"Soochika had in built biological clustering features and class prediction methods that Lilly was specifically looking for in the data mining product," said Dr. Srinivasan Seshadri, CEO, Strand Genomics. "This validates Strand's clustering pipeline which has several proprietary clustering techniques not present in similar products available in the market today", he added.

Strand is a life sciences informatics company developing and marketing products and solutions for drug discovery and development. Strand's core competencies include data mining and analysis, image recognition and analysis, knowledge management, visualization and software engineering. This coupled with a significant and growing life sciences expertise, allows Strand to provide value added customized solutions as well as software products to biotechnology and pharmaceutical companies.