Pathway Discovery

Using network-based clustering algorithms it is possible to cluster genes based on their expression profile, identifying cohorts of co-expressed genes. Co-expressed genes often represent functional units of biology, share common regulatory motifs and provide the key to understanding the core biological facets of an experiment.

In order to help interpretation, lists of differentially expressed genes or gene clusters can be mined to assess the enrichment of functionally related genes. This can include Gene Ontology terms, biological pathways and user-defined sets of genes with known attributes. Lists can also be explored for known relationships e.g. protein-protein interactions between members.