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Shattering Expectations: Novel Seed Dispersal Gene Found in Green Millet
… this phenotype.’”  Results from A “Massive Amount” of Sequencing  Seed dispersal is critical for plants in the … of Jeremy’s group. It’s just a massive amount of sequencing.”  A Resource for Many Applications Kellogg noted … and cleanup. The JGI provides integrated high-throughput sequencing and computational analysis that enable …
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H2-saturation of high affinity H2-oxidizing bacteria alters the ecological niche of soil microorganisms unevenly among taxonomic groups
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Meta-omics survey of [NiFe]-hydrogenase genes fails to capture drastic variations in H2-oxidation activity measured in three soils exposed to H2
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Building Sphagnum Genomic Resources
… questions such as sphagnum’s associations with methane oxidizing bacteria, nutrient uptake, and its productivity …
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Integrative visual omics of the white-rot fungus Polyporus brumalis exposes the biotechnological potential of its oxidative enzymes for delignifying raw plant biomass
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Chloroflexi CL500-11 Populations That Predominate Deep-Lake Hypolimnion Bacterioplankton Rely on Nitrogen-Rich Dissolved Organic Matter Metabolism and C1 Compound Oxidation
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JGI Portals
… access to information regarding genome and metagenome sequencing projects, and their associated metadata, around … all JGI genomic databases and analytical tools for all JGI sequencing projects. In 2021, the JGI launched the Data …
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Hiroshi Otani
… is particularly interested in understanding how, when and why microbes decide to produce which metabolites. …
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DNA Synthesis Program
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Overview of the Genomes OnLine Database (GOLD)
… gives an overview of the JGI's Genomes OnLine Database and why curated metadata matters. …
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Micro-Scale Applications Group
… that allow us to select specific uncultivated microbes for sequencing based on their level of metabolic activity …
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Accelerating Metagenomics Discoveries with Deep Learning
… learning for metagenomic data.  Metagenomic data, or DNA sequencing data gathered from whole samples rather than … capitalize on these kinds of abilities by applying them to sequencing data. At the workshop, Volkan Sevim, a … Deep learning algorithms can vectorize faces… … so, why not proteins?         …
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