Bioinformatics is the application of computing and mathematics to the management and analysis of biological datasets to aid the solution of biological problems. This field ranges from sequence data management and database construction to modeling and stimulation of biological systems.

Bioinformatics at Siena Biotech provides the techniques, tools, approaches, and insights necessary to convert this information into opportunities for drug discovery.

This is being achieved by working in close collaboration with other parts of research to fulfill three complementary and interwoven roles:

- Provision of the hardware and software infrastructure necessary for generating, storing, sharing, managing, and analyzing biological data, whether from public, private, or internal sources. This involves managing and integrating a wide range of different types of information obtained from a variety of different sources.

- Research into new and improved bioinformatics methods of direct relevance to the drug discovery process.

- Provision of expertise for project teams working on specific drug targets.

In addition to developing the required infrastructure for sharing and analyzing data, emphasis will be placed on: Sequence analysis, characterization, and classification of genes and proteins, including comparative genomic analysis.
Expression data analysis, especially the development of improved statistics-based approaches of extracting important information.
Pathway analysis, design and dissection of pathways for target identification