Results

Genome‐Wide Association Study Identifies Candidate Loci Underlying Agronomic Traits in a Middle American Diversity Panel of Common Bean
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Linking microbial Sphagnum degradation and acetate mineralization in acidic peat bogs: from global insights to a genome-centric case study
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Association of functionally significant Melanocortin-4 but not Melanocortin-3 receptor mutations with severe adult obesity in a large North American case–control study
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Graduate Students Get Thesis Research Opportunity at the JGI
Twice a year, the DOE Office of Science Graduate Student Research (SCGSR) program awards graduate … launch a pilot project and begin the work of understanding how engineered environments contribute to greenhouse gases,” … to answer our most pressing problems. I’m very much looking forward to working with JGI and LBNL scientists and …
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A Better Way to Find RNA Virus Needles in the Proverbial Database Haystacks
Team develops a computational pipeline to sift and characterize RNA virus … system. “We then looked into many more samples and refined our methodology,” Neri said. “Our team grew and so did the … will be able to estimate the actual size of the RNA virome However, this is now real Big Data, we are dealing with …
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User Executive Committee Charter
… providing input and advice on JGI policies and practices that affect users and their science including technical … bring forward user suggestions and concerns; Provide feedback and make recommendations on how the JGI Science Programs can best support the user …
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Enlarging Windows into Understanding Gene Functions
JGI innovates protocol revealing how genetic variations in sequences affect traits. In a text … of the alphabet. Yet the specific sequence of these four letters represents an organism’s genetic code, or …
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Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
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Information theory and machine learning illuminate large‐scale metabolomic responses of Brachypodium distachyon to environmental change
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iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria
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MArVD2: a machine learning enhanced tool to discriminate between archaeal and bacterial viruses in viral datasets
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JGI@25: Roots of a Mutualist Relationship
… 2022, we have revisited a number of notable achievements that showcase our collaborations and capabilities to enable great … sequence of a mycorrhizal fungus shifted the focus from looking at single organisms to applying a broader ecosystem …
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