Research Area: Computational Biology
Technical breakthroughs in gene sequencing, protein analysis, and
mathematical modeling are creating enormous opportunities to enhance
human health. These technologies create an unprecedented challenge
presented by the overwhelming amount of biologic data—increasingly
about individuals rather than populations. Computational solutions are
- Network analysis of gene interactions will provide new
information on drug targets and individualized treatment approaches to
cancer and other multigenic diseases.
- Computational analysis of multiple data sources will
enable the identification of unique disease signatures based on
genetic, molecular, and functional analysis.
One example is the prediction of cardiac dysfunction in
individuals receiving drug treatments and/or with underlying genetic
predisposition to heart disease.
Genomics and Systems Biology ISP
Biomedical Genetics and Cancer Synergomics
Department of Computational and Systems Biology
- Dirk Bohmann
- Jean-Phillippe Couderc
- Hartmut (Hucky) Land
- Arthur Moss
- Steve Dewhurst