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Metabolomics Program
… 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, and ecosystems at the … Integrating genomics with metabolomics fuels the discovery  of novel metabolites, genes, and proteins. It also enables …
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GenomeOcean Leverages AI to Decode Nature’s Secret Language
… genome discoveries. Unlocking the intricate details of life’s genetic blueprint has long been a significant … research community able to not just analyze but also create DNA sequences mimicking an array of microbial life. By … The U.S. Department of Energy Joint Genome Institute, a DOE Office of Science …
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JGI on the 2020 Highly Cited Researchers List
… fields over the last decade, demonstrated by the production of multiple highly-cited papers that rank in the top 1% by … that  released a very high quality reference genome sequence of green millet ( Setaria viridis ) in  Nature … The U.S. Department of Energy Joint Genome Institute, a DOE Office of Science …
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The genome of the polyextremophilic yeast, Naganishia friedmannii, reveals adaptations involved in stress response pathways, carbohydrate metabolism expansion, and a limited DNA repair repertoire
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Quantitative DNA Stable Isotope Probing Identifies Active Microorganisms Assimilating Volatile Fatty Acids in Full-Scale Enhanced Biological Phosphorus Removal Processes
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Giant virus diversity and host interactions through global metagenomics
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Single-cell genomics-based analysis of virus–host interactions in marine surface bacterioplankton
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Genomic and genetic analyses of diversity and plant interactions of Pseudomonas fluorescens
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Antarctic archaea–virus interactions: metaproteome-led analysis of invasion, evasion and adaptation
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Virus-Host Interactions and Genetic Diversity of Antarctic Sea Ice Bacteriophages
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BinaRena: a dedicated interactive platform for human-guided exploration and binning of metagenomes
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A survey of computational approaches for characterizing microbial interactions in microbial mats
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