Dataset
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from KPBS field site in Manhattan, KS. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
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Showing 1 - 15 of 21
Dataset
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from COBS field site in Boone County, IA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
Category
Dataset
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from IAREC field site in Prosser, WA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
Category
Viral communities detected from three large grassland soil metagenomes with historically different precipitation moisture regimes.
Category
"Visualizing the Hidden Half: Plant-Microbe Interactions in the Rhizosphere" Plant roots and the associated rhizosphere constitute a dynamic environment that fosters numerous intra- and interkingdom interactions, including metabolite exchange between plants and soil mediated by root exudates and the...
Publication
A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from time-series RNA sequencing data for the discovery...
HDF5 file containing 10,000 hydraulic transmissivity inputs and the corresponding hydraulic pressure field outputs for a two-dimensional saturated flow model of the Hanford Site. The inputs are generated by sampling a 1,000-dimensional Kosambi-Karhunen-Loève (KKL) model of the transmissivity field...
Last updated on 2023-02-23T19:37:46+00:00 by LN Anderson PerCon SFA Project Publication Experimental Data Catalog The Persistence Control of Engineered Functions in Complex Soil Microbiomes Project (PerCon SFA) at Pacific Northwest National Laboratory ( PNNL ) is a Genomic Sciences Program...
Datasets
3
The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
Datasets
1
The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
Datasets
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Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
Datasets
3
Data Source
Last updated on 2024-03-03T02:26:52+00:00 by LN Anderson The Thermo Scientific™ Q Exactive™ Plus Mass Spectrometer benchtop LC-MS/MS system combines quadruple precursor ion selection with high-resolution, accurate-mass (HRAM) Orbitrap detection to deliver exceptional performance and versatility...
Data Source
Last updated on 2024-03-03T02:26:52+00:00 by LN Anderson The Thermo Scientific™ Velos Pro™ Orbitrap Mass Spectrometer instrument data source combines advanced mass accuracy with an ultra-high resolution Orbitrap mass analyzer for increased sensitivity, enabling molecular weight determination for...
Data Source
Bruker Daltonics SolariX Magnetic Resonance Mass Spectrometry (MRMS) instruments are available for different magnetic field strengths of 7T, 12T and 15T. The SolariX XR and 2xR instruments use magnetron control technology and a newly developed, high sensitivity, low noise preamplifier to exploit...
Category
Data Source
The Thermo Scientific™ Q Exactive™ GC hybrid quadrupole Orbitrap Mass Spectrometer provides an unmatched combination of sensitivity, mass-accuracy and resolving power in a single analysis for the highest confidence in compound discovery, identification, and quantitation. With best-in-class...
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