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Visual Comparative Omics of Fungi for Plant Biomass Deconstruction
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Genome biology of the paleotetraploid perennial biomass crop Miscanthus
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From Stress to Growth: The adaptive mechanisms of algae in changing Arctic waters
… ice in the Arctic has decreased by more than 30% in terms of quantity and thickness. Replacing older, thicker ice with … manage the growth, yield and climate resilience of algae — for potential use as biomass or in biomass conversion to … and natural fertilizers. By understanding the genetic and metabolic pathways involved in stress responses, scientists …
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Genomic and proteomic biases inform metabolic engineering strategies for anaerobic fungi
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Systems Metabolic Engineering of Escherichia coli Improves Coconversion of Lignocellulose‐Derived Sugars
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Considering Strain Variation and Non-Type Strains for Yeast Metabolic Engineering Applications
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Coupling High-Throughput and Targeted Screening for Identification of Nonobvious Metabolic Engineering Targets
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Metabolic engineering of low-pH-tolerant non-model yeast, Issatchenkia orientalis, for production of citramalate
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A Sorghum Pangenome Opens More Doors to Discovery
… Leveraging decades of technological development, dozens of reference genomes … and thousands of resequenced sorghum varieties, a resource for breeders and researchers to harness the traits that let … Development (USAID) also supported the work.   Publication:  Morris, G.P., Harder, A.M., Healey, A.L.  et …
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Data Ecosystem
… The JGI is leveraging its current partnerships to offer new capabilities and resources to users through a BER … biology. The collaborations present exciting possibilities for scientific exploration, granting access to diverse … way. We also work with our partners to ensure platforms are future-ready for advancements enabled by …
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Genomic Analysis of Aspergillus Section Terrei Reveals a High Potential in Secondary Metabolite Production and Plant Biomass Degradation
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Mining Public Databases Yields Largest Map of Fungal Mitochondrial Genomes to Date
… fungal mitochondrial genome data, unlocking new potential for AI-driven studies of energy metabolism. The Science Researchers produced … as a resource for AI-driven approaches to predicting fungal metabolic traits from genomic data to understand how … The work conducted by the U.S. Department of Energy Joint Genome Institute …
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