Bench biology has been transformed through the recent development of high throughput techniques, which permit the scientist to perform thousands of experiments in parallel at low cost. But this has in turn caused interpretation of experimental results to become a bottleneck. This project uses computational techniques to glean biological knowledge from the literature and from public databases to address this challenge.

By taking into account prior biological knowledge, our techniques aim to improve the quality of hypotheses generated from high throughput data, such as microarray experiments, gene sequences and next generation sequences.

Some of the techniques that we use are summarized as follows:

Technique	Description	Biological Knowledge Source
Gene Appearance Frequency Analysis	Analyze the frequency in which genes appear in biological pathways.	Biological Pathways	more ...
Density Analysis	Analyze the relative positions of differentially expressed genes within a pathway.	Biological Pathways	more ...