A Game Changer: Protein Clustering Powered by Supercomputers
New algorithm lets biologists harness massively parallel supercomputers to make sense of a “data deluge.”
New algorithm lets biologists harness massively parallel supercomputers to make sense of a “data deluge.”
Using genetic engineering, scientists improve biomass growth and conversion in woody and grassy feedstocks.
Novel observations suggest a great potential of measuring global gross primary production via solar-induced fluorescence.
Multiple plausible hypotheses in how maximum photosynthetic rates scale across the Earth lead to substantial variability in predicting carbon uptake.
Flexible, tunable technique warms plants without need for electricity, aiding ecosystem research in remote locales.
Chemical genomic-guided engineering of gamma-valerolactone-tolerant yeast.
Certain species of trees retain stored water, limit root growth to survive three months without water.
Toolkit lets scientists detect extreme weather in climate simulations far faster than before.
Genetically engineered switchgrass does not change soil chemistry, microbiology, or carbon storage potential.
Global models may be underestimating net wetland methane emissions.
This research offers new information to understand the role of microorganisms in elemental cycling in the Arctic.
Multiple techniques to characterize an enzyme complex shed light on how bacteria create particles and contribute to global cycles.
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