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JGIota: Looking Back at How Cow Rumen Samples Landed on a Syllabus
… in the journal Science . It detailed how they’d used metagenomics to identify over 27,000 microbial genes. The data from that study is now used across … University campuses for biotechnology education as part of a course-based undergraduate resource experience. Hear …
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Strain Engineering
… The focus of this group, in recent years, has been to bring … The developed strains represent an additional phase of user-accessible project types, in which DNA-based … integrated into a taxonomically diverse suite of microbial chassis strains for elevated opportunity for …
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Assembly, comparative analysis, and utilization of a single haplotype reference genome for soybean
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JGI@25: Expanding Metagenomics to Capture Viral Diversity
… In honor of the JGI's 25th anniversary in 2022, we have revisited a … the microbes there,” said Simon Roux , the Viral Genomics Group Lead at the JGI.  To understand the … conditions and a specific microbial host to replicate. Sequencing genetic material directly from samples sidesteps …
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Advancements in the application of NanoSIMS and Raman microspectroscopy to investigate the activity of microbial cells in soils
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Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells
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Root cap cell corpse clearance limits microbial colonization in Arabidopsis thaliana
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One Bacterial Cell, One Complete Genome
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RECAP: Keynote Speakers Talk Innovation at 2022 JGI Annual Meeting
… The JGI was honored to host some of the brightest minds in genetics as part of our  2022 … hybrid event, with guests joining onsite at the Integrative Genomics Building at Lawrence Berkeley National Laboratory … Institute of Science in Rehovot, Israel, where he studies single-celled algae in the ocean. “Although single-celled, …
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Accelerating Metagenomics Discoveries with Deep Learning
… in an online workshop to harness deep learning for metagenomic data.  Metagenomic data, or DNA sequencing data gathered from whole samples rather than … insights from metagenomic data. In deep learning, a branch of machine learning, data is passed through algorithms …
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Dissecting the dominant hot spring microbial populations based on community-wide sampling at single-cell genomic resolution
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Metagenome-assembled genomes from microbial communities producing lactic acid from dairy residues
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