Biomind premier product is the ArrayGenius, which provides a uniquely powerful approach to analyzing microarray data based on machine learning coupled with gene and protein function ontologies.  See the ArrayGenius page for details, including information on how to try out the ArrayGenius online.

The Gene Ontology is a powerful resource -- but it's not yet complete.  Many genes have not yet been assigned functions.  

Enter Biomind technology: we have devised a clever combination of machine learning algorithms, specifically designed to solve the problem of guessing which GO categories a gene belongs to, based on analyzing gene expression data across multiple experiments.  We call this software tool the OntoloGenius.

We have applied this technology to our own database of public microarray datasets, thus making provisional GO assignments for a host of human and yeast genes.  In May 2005 these assignments will be posted online, as part of Biomind's mission to use our technology to further bioscience in general.  Current research involves extending these results to the rat and mouse genomes.

If you have a large number of proprietary microarray datasets (say, 50+ datasets exploring the same genes in different situations), and are curious what your dataset implies about the functions of various genes, then you may wish to apply OntoloGenius to your data.  

OntoloGenius is a command-line product which runs in the Linux environment, and is easy to integrate with all sorts of bioinformatic data processing scripts. 

Based on customer preference, we can also apply OntoloGenius to customer data on a consulting basis (see the Biomind services page). Small customizations of the OntoloGenius algorithms to your particular datasets may yield even more powerful "gene function inference" results. 

If you're interested in applying the OntoloGenius to your microarray data repository, e-mail info@biomind.com and we'll get back to you promptly.

Currently under development, the Biomind PathwayGenius represents the next major step in the realization of the Biomind vision: the use of powerful AI technology to integrate diverse biological knowledge to make novel scientific discoveries.

The center of the PathwayGenius is the MindMap: a visual diagram based on a unique semantic network knowledge representation, integrating information about biological relationships derived from microarray data, protein-protein interaction data, existing ontologies and pathway databases, and analysis of biological texts.  

Advanced AI inference algorithms are applied to the relationships derived from these various sources, and used to derive new relationships, displayed in the MindMap -- creating a visual repository of biological knowledge more comprehensive, insightful and integrative than anything constructed before.