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...
Filter results
Content type
Tags
- (-) IAREC (2)
- (-) Type 1 Diabetes (1)
- Soil Microbiology (10)
- Metagenomics (7)
- sequencing (7)
- Omics (4)
- metagenomics (3)
- Microbiome (3)
- Sequencing (3)
- soil microbiology (3)
- Fungi (2)
- Genomics (2)
- Mass Spectrometry (2)
- omics (2)
- Amplicon Sequencing (1)
- Autoimmunity (1)
- Machine Learning (1)
- Microscopy (1)
- mineral weathering (1)
- MPLEX (1)
- Software Data Analysis (1)
- Spectroscopy (1)
- Viruses (1)
- Whole Genome Sequencing (1)
Showing 1 - 3 of 3
Dataset
Dataset
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...
Category
A total of 172 children from the DAISY study with multiple plasma samples collected over time, with up to 23 years of follow-up, were characterized via proteomics analysis. Of the children there were 40 controls and 132 cases. All 132 cases had measurements across time relative to IA. Sampling was...