* Computational analysis tools such as t-test, hierarchical clustering, self-organizing maps, regulatory network reconstruction, BLAST searches, pattern-motif discovery, protein structure prediction, structure-based protein annotation, etc.  
* Visualization of gene expression (heatmaps, volcano plot), molecular interaction networks (through Cytoscape), protein sequence and protein structure data (e.g., MarkUs). 
* Integration of gene and pathway annotation information from curated sources as well as through Gene Ontology enrichment analysis. 
* Component integration through platform management of inputs and outputs.  Among data that can be shared between components are expression datasets, interaction networks, sample and marker (gene) sets and sequences.
* Dataset history tracking - complete record of data sets used and input settings.
* Integration with 3rd party tools such as Genepattern, Cytoscape, and Genomespace.
Demonstrations of each feature described can be found at[http://wiki.c2b2.columbia.edu/workbench/index.php/Tutorials GeWorkbench-web Tutorials].