Results

The IMG/M data management and analysis system v.7: content updates and new features.
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A New Nomenclature of Xenopus laevis Chromosomes Based on the Phylogenetic Relationship to Silurana/Xenopus tropicalis
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A Viral Ecogenomics Framework To Uncover the Secrets of Nature’s “Microbe Whisperers”
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Diversity, evolution, and classification of virophages uncovered through global metagenomics
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Uncovering the Diversity and Activity of Methylotrophic Methanogens in Freshwater Wetland Soils
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A Horizontal Gene Transfer Event Defines Two Distinct Groups within Burkholderia pseudomallei That Have Dissimilar Geographic Distributions▿ †
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Finding the Fermenters
… browser that allows other researchers to study the genomes and predict the metabolic abilities of these … the phenotypic records of 8,350 organisms along with 4,355 genomes and 13.6 million genes. The results reveal … more than 400 cultured rumen prokaryotes from the  Hungate1000 project . They also used the tool to predict possible …
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Comparative genomics, proteomics and transcriptomics give new insight into the exoproteome of the basidiomycete Hebeloma cylindrosporum and its involvement in ectomycorrhizal symbiosis
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High-quality draft genome sequence of Rhizobium mesoamericanum strain STM6155, a Mimosa pudica microsymbiont from New Caledonia
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A Natural Mechanism Can Turbocharge Viral Evolution
The first step in the deadly dance between a virus and microbial cell is an embrace. For a virus with a “head-tail” … ago, a team discovered a group of viruses that had in their genomes a surprising tool: a “diversity generating … diversity quickly, allowing these viruses to target new microbial prey. The Impact This research provides a much …
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Frederik Schulz
… the DOE Joint Genome Institute in 2016 and is leading the New Lineages of Life Group. His research is focussed on the … user community and supports various user projects in the Microbial Program. In an LDRD-funded project, Dr. Schulz … University of Vienna (Austria) … Krinos et al. 2024. Time-series metagenomics reveals changing protistan …
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Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits
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