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Biochemical Pathways Identified in Microbial Community Today’s powerful sequencing machines can rapidly read the genomes of entire communities of microbes, but the challenge is to extract meaningful information from the jumbled reams of data. In a paper posted online in Nature Biotechnology, researchers describe a novel approach for extracting single genomes and discerning specific microbial capabilities from mixed community (“metagenomic”) sequence data. IMG/M metagenomic data management and analysis software, jointly developed by the DOE Joint Genome Institute and Berkeley Lab's Biological Data Management and Technology Center (BDMTC), played a key role in the study. Learn more (Photo: D. Kunkel; color, E. Latypova.)

 

The National Energy Research Scientific Computing Center is the flagship supercomputer facility for the Office of Science in the U. S. Department of Energy. It carries out unclassified research in many disciplines. Find out more about science at NERSC. Learn more.

 

ESnet (Energy Sciences Network) is a high-speed network serving scientists and their collaborators supported by the U.S. Department of Energy. Learn more.

 

 

The Computational Research Division (CRD) creates computational tools and techniques that enable scientific breakthroughs by conducting applied research and development in computer science, computational science and applied mathematics. Learn more.