Filter results
Content type
Tags
- (-) Fungi (6)
- (-) High Throughput Sequencing (6)
- (-) IAREC (3)
- (-) Mass spectrometry-based Omics (3)
- Omics (22)
- Soil Microbiology (22)
- sequencing (13)
- Genomics (10)
- Metagenomics (10)
- Microbiome (8)
- Imaging (6)
- Mass Spectrometry (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Machine Learning (5)
- Mass Spectrometer (5)
- Biomarkers (4)
- metagenomics (4)
- Microscopy (4)
- Molecular Profiling (4)
- Sequencer System (4)
- Sequencing (4)
- soil microbiology (4)
- Spectroscopy (4)
- Viruses (4)
- Climate Change (3)
- metabolomics (3)
- PerCon SFA (3)
- Proteomics (3)
- Synthetic Biology (3)
Category
Soil fungi facilitate the translocation of inorganic nutrients from soil minerals to other microorganisms and plants. This ability is particularly advantageous in impoverished soils, because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hotspots...
Category
The Sequel II System Sequencer is a high-throughput DNA sequencer machine developed and manufactured by PacBio , and is designed for high throughput, production-scale sequencing laboratories. Originally released in 2015, the Sequel system provides Single Molecule, Real-Time (SMRT) sequencing core...
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
1
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
The Illumina MiSeq System Sequencer is a high-throughput DNA sequencer machine developed and manufactured by Illumina , and is designed for sequencing data acquisition using synthesis technology to provide an end-to-end solution (cluster generation, amplification, sequencing, and data analysis) in a...
The Illumina HiSeq X System Sequencer is a high-throughput DNA sequencer machine developed and manufactured by Illumina , and is designed for high throughput, production-scale sequencing laboratories. Built off the HiSeq 2500 System, harnessing the patterned flow cell technology originally developed...
The Illumina HiSeq 4000 System Sequencer is a high-throughput DNA sequencer machine developed and manufactured by Illumina , and is designed for high throughput, production-scale sequencing laboratories. Built off the HiSeq 2500 System and harnessing the patterned flow cell technology originally...
Category
Category
Please cite as : Anderson L.N., W.C. Nelson, J.E. McDermott, R. Wu, S.J. Fansler, Y. Farris, and J.K. Jansson, et al. 2020. WA-TmG.1.0 (Metagenome, WA). [Data Set] PNNL DataHub. https://doi.org/10.25584/WATmG1/1635002 To enable a comprehensive survey of the metabolic potential of complex soil...
Category
Please cite as : Anderson L.N., R. Wu, W.C. Nelson, J.E. McDermott, K.S. Hofmockel, and J.K. Jansson. 2021. WA-TmG.2.0 (Metagenome, WA). [Data Set] PNNL DataHub. https://doi.org/10.25584/WATmG2/1770324 Soil samples were collected in triplicate in the fall of 2017 across the three grassland...