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Distribution and abundance of tetraether lipid cyclization genes in terrestrial hot springs reflect pH
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Abundant and active community members respond to diel cycles in hot spring phototrophic mats
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JGI announces second round of 2023 New Investigator awardees
… From left to right: [above] Emma Bell, Mallory Choudoir, Sneha Couvillion, Tobin … That’s why twice each year we look for novel research projects — aligned with DOE missions and from PIs who have … the New Investigator call under our Community Science Program .  Below find a list of the second round of …
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Robert Bowers
… Bob uses single-cell genomics and metagenomics to explore how microbes influence people …
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Olpidium, The Key to the Origin of Terrestrial Fungi
… (DOE) Joint Genome Institute (JGI), a DOE Office of Science User Facility, found that the fungus Olpidium is a link in … 1000 Fungal Genomes Project, which aims to provide genomic information for every family of fungi. In the following … fungi by James et al. and Sekimoto et al . In both studies, however, Olpidium was unexpectedly grouped with …
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Exploring Phages at JGI
… entertained the possibility of working at a national laboratory. However, through the JGI-UC Merced internship program, I was able to collaborate with extraordinary …
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Adam Reisselman on being a 2016 DOE Computational Science Graduate Fellow
… The Department of Energy's Computational Science Graduate Fellowship (DOE CSGF) program was developed to meet the Nation's growing need for science and technology …
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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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The White-Rot Basidiomycete Dichomitus squalens Shows Highly Specific Transcriptional Response to Lignocellulose-Related Aromatic Compounds
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The epsomitic phototrophic microbial mat of Hot Lake, Washington: community structural responses to seasonal cycling
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Multilab EcoFAB study shows highly reproducible physiology and depletion of soil metabolites by a model grass
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Subsurface hydrocarbon degradation strategies in low- and high-sulfate coal seam communities identified with activity-based metagenomics
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