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… a method that allows researchers to quickly modify diverse bacterial genomes. In 2019, the JGI’s Yasuo Yoshikuni and … domesticate some 60 strains, inserting into them a genetic sequence that acts as a “landing pad.” Mouncey adds, “Once … example, the JGI first used CRAGE to engineer domesticated bacterial strains with novel biosynthetic gene clusters …
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… with a complex genome . Now, high-quality reference genome sequences of the male and female plants, each representing a … comes from finally having an answer to the question, “Why bother keeping this?” For Stuart McDaniel’s lab at the … ran the gamut of sequencing technologies, from making a bacterial artificial chromosome library to long-read …
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… own Jon Bertsch. Microbes isolated from Mono Lake were sequenced by the JGI (isolates here , here and here ), and the data has been used …
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Group. His research is focussed on the discovery of novel bacterial, archaeal and eukaryotic microbes and viruses in environmental sequence data. Dr. Schulz employs multi-omics (metagenomics, … 29–37. Schulz et al. (2017) Towards a balanced view of the bacterial tree of life. Microbiome. 5 (1), 1-6 Google …
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… yield sugar monomers, it’s only with the aid of specialized bacterial enzymes. Honey bees rely on their gut microbiota … Academy of Sciences . The team focused on the dominant bacterial clades shared between honey bee and bumblebee gut … is a division of labor by these bacterial groups. But why the strain variability? The authors think the reason may …
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Program aims to generate large datasets to explore sequence-function relationships, advancing the discovery of … Science Group supports researchers exploring how to convert sequence into functional assessments. The team has a … of fungi. Mycocosm enables users to navigate across sequenced fungal genomes, and to conduct comparative and …
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So in 2010, the JGI helped publish the original genome sequence for the soybean, Glycine max. With a full genome sequence, researchers have been able to look into soybean’s …
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… of proteins in order to conduct more efficient protein sequence alignments. He also aims to detect structural similarities in proteins that low sequence identity may belie. The technology he’s using is … Deep learning algorithms can vectorize faces… … so, why not proteins? … The U.S. Department of Energy …
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… and carbon consumption of SAR11 bacteria, the most abundant bacterial group in the ocean. Later during his postdoctoral … a high throughput approach for isolating individual bacterial cells and amplifying their genetic material, thus … activity for identifying and sorting slow-growing archaeal− bacterial consortia. PNAS 113 (28), E4069-E4078 Bendall, …
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