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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

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Genomic Science Program

Encoded in the genomes of plants, microbes, and their communities are principles that offer a wealth of potential for biobased solutions to national energy and environmental challenges. To harness this potential, the U.S. Department of Energy’s Genomic Science program supports fundamental research to understand the systems biology of plants and microbes as they respond to and modify their environment. This research builds on the foundation of sequenced genomes and metagenomes, focusing on a tightly coupled approach that combines experimental physiology, omics-driven analytical techniques, and computational modeling of functional biological networks.
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Miscanthus (GLBRC)

Bioenergy Research Centers

Advances basic research to underpin production of biofuels and bioproducts from inedible lignocellulosic plant biomass.
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E Coli (JBEI)

Systems Biology for Bioenergy

Improves fundamental understanding of microbes with bioenergy-relevant traits for deconstructing biomass and synthesizing biofuels and bioproducts.
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Biofeedstock (CABBI)

Plant Science for Bioenergy

Elucidates and validates the functional roles of genes, gene families, and associated pathways to enhance understanding of critical processes in DOE-relevant plant systems.
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C thermocellum (ORNL)

Sustainability Research for Bioenergy

Investigates plant-soil-microbe interactions in laboratory and field settings to enhance biomass productivity under changing biotic and abiotic conditions.
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C zofingiensis starch

Biosystems Design

Develops knowledge for engineering useful traits into plants and microbes to produce biofuels and bioproducts and to advance biotechnology.
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Permafrost Microbes (EMSL)

Environmental Microbiome Science

Links structure and function of microbial communities in the field with key environmental or ecosystem processes.
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Kalanchoe gene map (ORNL)

Computational Biology

Provides new computational approaches and hypothesis-generating analysis techniques, data, and simulation capabilities such as the DOE Systems Biology Knowledgebase (KBase) to accelerate collaborative, reproducible systems science.
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kbase logo

KBase

Community-driven cyberinfrastructure for sharing and integrating data and analytical tools to accelerate predictive biology.
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Penicillium spores using SEM (EMSL)

User Facilities

Empowering an international community of scientists with the most advanced technologies.
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