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… Overview The JGI provides sequencing, synthesis, and targeted metabolomics support for … ,  Science Focus Areas  (SFA) opportunities, and the  Office of Science Early Career Research Program .   If … . A minimum request of 1 Tb of sequence data is required to qualify for BERSS. For DNA synthesis requests, the …

…   The U.S. Department of Energy (DOE) Joint Genome Institute (JGI) is a national user facility located at Lawrence Berkeley National Laboratory. The JGI consists of 225 researchers and support staff … The U.S. Department of Energy (DOE) Joint Genome Institute (JGI) is a …

… In honor of the JGI's 25th anniversary in 2022, we have … was released to the public in a highly-cited 2006 publication in the journal Science . This provided a … those posed by bark-boring beetles, he said. An additional response to the crisis implemented by the UC team was the …

… A collaborative team led by researchers at the University of Texas (UT) at Austin, the HudsonAlpha Institute for … thought to harbor less genetic and phenotypic (visible traits) diversity. After our team finished analyzing the … niche evolution between 4X and 8X linked to climate adaptation. Overall, these results indicate that the 8X …

… “Where’s Waldo?” readers need to look for a number of distinguishing features. Several characters may be … a computer could use to conduct a similar type of search in microbial and metagenomic databases. In this case, the … inoviruses are in every major microbial habitat—including soil, water, and humans—around the world. By the numbers, …

… As SIP experiments shed more light on microbial communities than ever before — especially with the prospect of meta-analyses boosted by AI and Machine Learning — JGI … an environment. For example, SIP experiments can show how soil microbes cycle nitrogen and carbon, or how freshwater …

… By leveraging new tools and large-scale data mining, JGI researchers … genome data, unlocking new potential for AI-driven studies of energy metabolism. The Science Researchers produced … to train machine learning models that predict biological traits from DNA sequences. The study also confirmed that …