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Tracking the ancestry of known and ‘ghost’ homeologous subgenomes in model grass Brachypodium polyploids
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High intraspecific genome diversity in the model arbuscular mycorrhizal symbiont Rhizophagus irregularis
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Exploiting proteomic data for genome annotation and gene model validation in Aspergillus niger
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Large‐scale maps of variable infection efficiencies in aquatic Bacteroidetes phage‐host model systems
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FunGAP: Fungal Genome Annotation Pipeline using evidence-based gene model evaluation.
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The reference genome and abiotic stress responses of the model perennial grass Brachypodium sylvaticum
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Metabolic model predictions enable targeted microbiome manipulation through precision prebiotics.
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Integrating chromatin conformation information in a self-supervised learning model improves metagenome binning
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Translating macroecological models to predict microbial establishment probability in an agricultural inoculant introduction
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How To Use Our Systems
… One of the JGI’s key assets is our user community, comprising a broad range of researchers and trainees who use JGI resources and … have yielded numerous, high-quality outputs, such as data, publications and software. The JGI supports the entire data …
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Learning to Look
… “Where’s Waldo?” readers need to look for a number of distinguishing features. Several characters may be … glasses, or a cane, but only Waldo will have all of these features. As described July 22, 2019, in  Nature … case, the machine “learned” to identify a certain type of bacterial viruses or phages called inoviruses, which are …
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Viruses Reprogram Cells into Different Virocells
… from The Ohio State University and the University of Michigan studying how virus infections cause significant … diversity with an aim to improve predictive ecosystems models, University of Michigan’s Melissa Duhaime and The … approach to infecting and metabolically reprogramming the bacterial host, which was transformed into two very …
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