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Synthetic Biology Informatics Group
… Software engineers in the Synthetic Biology Informatics Group develop, deploy, and maintain software that support the JGI’s Synthetic Biology Program .  …
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Changes to virus taxonomy, the international code of virus classification and nomenclature, and the ICTV statutes ratified by the International Committee on Taxonomy of Viruses (2025)
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Functional genomics of lipid metabolism in the oleaginous yeast Rhodosporidium toruloides
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Constructing a yeast to express the largest cellulosome complex on the cell surface
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Creating a large designer cellulosome in yeast to boost ethanol production
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Community Science Program
… community at large with access to high-throughput sequencing, synthesis, and metabolomics at the JGI for projects of relevance to Department of Energy (DOE)  Mission Areas . Through this program, the … more customized analysis, the JGI also participates in publication of results. See more details on our Review …
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Ancient Algae Reveal Secrets of Plant Evolution
… land over 600 million years ago. The Science By studying the genes of land plants’ closest algal relative,  Zygnematophyceae , … in sustainable agriculture and clean energy. These evolutionary strategies that helped plants thrive under … Settlement Biomedical Research Enhancement Funds as part of a startup grant of the University of Nebraska Lincoln, …
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Enlarging Windows into Understanding Gene Functions
… JGI innovates protocol revealing how genetic variations in sequences affect traits. In a text file, the rows of letters A, T, C and G appearing over and over in a … The U.S. Department of Energy Joint Genome Institute, a DOE Office of Science User Facility …
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Evolutionary transition to the ectomycorrhizal habit in the genomes of a hyperdiverse lineage of mushroom‐forming fungi
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Evolutionary history of arbuscular mycorrhizal fungi and genomic signatures of obligate symbiosis
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Testing the evolutionary theory of inversion polymorphisms in the yellow monkeyflower (Mimulus guttatus)
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Evolutionary and methodological considerations when interpreting gene presence–absence variation in pangenomes
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