Results

Viral niche-partitioning: Comparative genomics of giant viruses across environmental gradients in a High Arctic freshwater-saltwater lake
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Genomic and functional analyses of fungal and bacterial consortia that enable lignocellulose breakdown in goat gut microbiomes
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Soybean (Glycine max) Haplotype Map (GmHapMap): a universal resource for soybean translational and functional genomics
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Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions
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The Sequences of 1504 Mutants in the Model Rice Variety Kitaake Facilitate Rapid Functional Genomic Studies
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Ecological and genomic responses of soil microbiomes to high-severity wildfire: linking community assembly to functional potential
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Genome Analysis Reveals Diversity and Functional Potential of Novel Janthinobacterium Species From Subarctic Soils
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Scaling Up Existing Skill Sets
… paired six UC Merced students with seven JGI researchers for bioinformatics internship opportunities in fields ranging from plant-microbe interactions to functional … Quantitative and Systems Biology Mentor: Guohong Wu, Plant Comparative Analysis What effect has your summer internship …
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MGM Workshop at Fisabio Summer School 2025
… Register here The workshop is addressed to students and professionals of biology, biomedical research, the … and seminars as well as practical hands-on sessions in bioinformatics and biostatistics Several sessions will be devoted to training in the use of the Integrated Microbial Genomes & Microbiomes (IMG/M) system, …
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Defining a Pan-Genome for Antarctic Archaea
… Analysis of haloarchaeal metagenomes broadens understanding … cycles, and possibly cold-temperature enzymes for biotechnological use. Summary Conditions such as extreme … The genome and metagenome data are available through JGI’s Integrated Microbial Genomes & Microbiomes (IMG/M) platform. …
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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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Integrating Microbial Community Data Into an Ecosystem‐Scale Model to Predict Litter Decomposition in the Face of Climate Change
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