Results
… ecosystem,” said Salamov, one of Wint’s mentors and a data scientist at the JGI. Previous studies were conducted … predictor of gene expression levels using machine learning tools. “This was very exciting to see how Rhondene not only … the research question and applied it to such a large data set, but also went all the way through to convert her …
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… metabolic rate of microbial communities. Because microbial metabolism affects the biogeochemical cycling of carbon, … of a virus relative to its host (inferred through sequence data) can suggest different predatory behaviors. A high … Winner” — “Piggyback the Winner.” In the microbial mat, the data suggest viruses are indeed piggybacking their hosts. …
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… would be transformative at industrial scales. “Cell-free systems have been really powerful at finding ways to … “But this has been done most commonly in bacterial-based systems, and so one of the things that I think is so special … ethanol, an undesired product of the yeast’s native glucose metabolism Alper’s graduate student Xiunan Yi visited the …
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… mass spectrometry approaches and model laboratory ecosystems (EcoFABs). … Trent Northen is the Metabolomics … Populus across genotypes and environments. 2024 Nature Sci Data. 11, 339. https://doi.org/10.1038/s41597-024-03069-7 … McGivern BB et al. Decrypting bacterial polyphenol metabolism in an anoxic wetland soil. Nat Commun. 2021 Apr …
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… through over 55 billion genes and 16 trillion DNA bases of data, to figure out what to study and compare for the … tests for raw data and how to use some bioinformatics tools for analysis to help them focus on what to pull out … sequencing and computational analysis that enable systems-based scientific approaches to these challenges. …
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