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… 21-23, 2023, attendees joined the JGI Annual Genomics of Energy & Environment Meeting.  A wide array of invited … organisms can do. And we need the field’s context to see why it matters.” As his career progressed, Hungate has … these amazing technologies that the JGI has to identify and sequence who’s making what, that the context at a microscale …

… The Micro-Scale Applications group explores the genetic makeup of natural microbial communities using a variety of cutting-edge approaches.  Our group also seeks out new … The JGI uniquely offers the first quantitative Stable Isotope Probing (SIP) Metagenomics …

… Innovative technology from this biomanufacturing collaboration is … hydroxyapatite, a high-value biomaterial with a wide range of industrial applications. The team was led by researchers at two U.S. Department of Energy national user facilities – the DOE Joint Genome …

… In honor of the JGI's 25th anniversary in 2022, we have revisited a … impressive environmental and energy advantages explain why soybean is a flagship genome of the JGI’s Plant Program. … first legume species with a published complete draft genome sequence. At the time, the vital global source of both …

… The JGI was honored to host some of the brightest minds in genetics … Jill Banfield approached Doudna with repeated genetic sequences (already known as CRISPR) that came up in her … The U.S. Department of Energy Joint Genome Institute, a DOE Office of …

… This webinar focused on how the JGI employs single-molecule, long-read DNA sequences to aid with genome assembly and transcriptome analysis of microbial, fungal, and plant research projects.  More … The U.S. Department of Energy Joint Genome Institute, a DOE Office of Science …

… Survey of Setaria's natural diversity reveals seed dispersal in wild … National Laboratory (Berkeley Lab), generated genome sequences for nearly 600 green millet plants and released a very high quality reference S. viridis genome sequence. Analysis of these plant genome sequences also led …

… insights from metagenomic data. In deep learning, a branch of machine learning, data is passed through algorithms … of proteins in order to conduct more efficient protein sequence alignments. He also aims to detect structural … Deep learning algorithms can vectorize faces… … so, why not proteins?         …

… A nuanced understanding of peat moss drives insight into … Laboratory, and the HudsonAlpha Institute for Biotechnology sequenced sphagnum  genomes from plants selected by a team … and others that preferred the hollows. Those genome sequences showed not only that the sex of a sphagnum plant …