Genomic Science Program. Click to return to home page.

Genomic Science Program

Systems Biology for Energy and the Environment

Department of Energy Office of Science. Click to visit main DOE SC site.

Genomic Science Program

Genomic Science Program

Today scientists have in hand the complete DNA sequences of genomes for many organisms—from microbes to plants to humans. The U.S. Department of Energy's Genomic Science program (formerly Genomics:GTL) uses microbial and plant genomic data, high-throughput analytical technologies, and modeling and simulation to develop a predictive understanding of biological systems behavior relevant to solving energy and environmental challenges. Learn More »


Alternative fuels from renewable cellulosic biomass are expected to significantly reduce U.S. dependence on imported oil while enhancing national energy security and decreasing the environmental impacts of energy use. Developing a cost-effective, commercial-scale cellulosic biofuel industry will require transformational biological research in feedstock development, biomass deconstruction, and fuel synthesis. Learn More »

Click to learn more about the computational biology, bioinformatics, predictive modeling.

Crosscutting Computational Biology, Bioinformatics, and Predictive Modeling

Driven by the ever-increasing wealth of data resulting from new generations of genomics-based technologies, systems biology is demanding a computational environment for data integration, analysis, and sharing to ultimately develop predictive models. Learn More »

Click to learn more about carbon cycling and the climate.

Carbon Cycling, Environmental Microbial Research

The global carbon cycle plays a central role in regulating atmospheric carbon dioxide levels and thus Earth’s climate, but our basic understanding of the tightly interlinked biological processes driving the carbon cycle remains limited. Advancing our knowledge of these processes is crucial to predicting potential climate change impacts, assessing the viability of climate change adaptation and mitigation strategies, and informing relevant policy decisions. Learn More »


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