Results

Nigel Mouncey
… fourth Director in its 27-year history. He has a wealth of managerial experience from almost 20 years in the Industrial … is also on the Leadership Team of the National Microbiome Data Collaborative and served as President of the Society … World Bio Markets Bio-based Business Person of the Year Publications Committee Chair (2016- ), Society for …
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Metagenomic reconstruction of nitrogen and carbon cycling pathways in forest soil: Influence of different hardwood tree species
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Metagenomes and Metagenome-Assembled Genomes from Substrate-Amended Hot Spring Sediment Incubations from Yellowstone National Park
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Metagenomes from Arctic Soil Microbial Communities from the Barrow Environmental Observatory, Utqiaġvik, AK, USA
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Exploring microbial functional biodiversity at the protein family level—From metagenomic sequence reads to annotated protein clusters
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Genomic Features Predict Bacterial Life History Strategies in Soil, as Identified by Metagenomic Stable Isotope Probing
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Genes and genome‐resolved metagenomics reveal the microbial functional make up of Amazon peatlands under geochemical gradients
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Draft Metagenome Sequences of the Sphagnum (Peat Moss) Microbiome from Ambient and Warmed Environments across Europe
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Neha Varghese
Neha’s key role is to design, benchmark, and apply bioinformatics software to enable analysis and interpretation of genomic and metagenomic data for JGI’s user community. She also provides support for …
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Fields of Breeders’ Dreams: A Team Effort Toward Targeted Crop Improvements
Gardeners and farmers around the country recognize that crop varieties … switchgrass ( Panicum virgatum ), which has established 10 experimental gardens located in eight states spread across … find genetic regions of interest.” The combination of field data and genetic information has allowed the research team …
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Transcriptomic analysis highlights epigenetic and transcriptional regulation during zygotic embryo development of Pinus pinaster
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Identification of a novel cyanobacterial group as active diazotrophs in a coastal microbial mat using NanoSIMS analysis
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