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… Bacterial enzymes play second fiddle to those from fungi when it comes to breaking down tough … analyzing the enzymes present in the complex organic matrix of the forest floor, a team of researchers have found that … dataset was particularly important for characterizing fungal genes, because, unlike bacteria, they often carry …

… The JGI’s Metabolomics Program works to uncover the roles of small molecules in biological systems, linking them with genomic data to enhance our understanding of genome science, organisms, … metabolites in living systems, particularly as they relate to DOE missions in the bioeconomy, sustainability, and …

… All staff members of the US Department of Energy (DOE) Joint Genome Institute (JGI) commit to Lawrence Berkeley National Lab’s (Berkeley Lab’s) core … the relationships we nurture in our workplace and seek to establish with our stakeholders. The guiding principles …

… You can visit the Products & Offerings section of our website for more details, including a downloadable pdf of products categorized by Science Program.  … The majority of JGI projects come from the user community. Find out about … proposal calls and proposal submission, as well as examples of approved proposals, please visit the Proposals FAQ .  …

… begins at the forest floor. Within the soil, a microbiome of bacteria, viruses and fungi process carbon and nitrogen, paving the way for future plants and trees to grow. However, fire changes the microbes within the soil. … interact; beyond bacteria, these samples harbored fungal genomes, including a novel Leotiomycetes species and …

… JGI Mission As a U.S. Department of Energy Office of Science user facility, we provide … large-scale AI-ready data and professional expertise to support the global research community in studies of … and environmental systems. We optimize our service to the community through responsibly managing our people and …

… By leveraging new tools and large-scale data mining, JGI researchers nearly tripled the available fungal mitochondrial genome data, unlocking new potential for AI-driven studies of energy metabolism. The Science Researchers produced …