Filter results
Tags
- (-) Viruses (11)
- (-) Differential Expression Analysis (5)
- (-) Molecular Profiling (4)
- Virology (14)
- Soil Microbiology (9)
- Health (8)
- Virus (8)
- Omics (7)
- Omics-LHV Project (6)
- Gene expression profile data (5)
- Immune Response (5)
- Multi-Omics (5)
- PerCon SFA (5)
- Time Sampled Measurement Datasets (5)
- Autoimmunity (4)
- Biomarkers (4)
- Homo sapiens (4)
- Ions (4)
- Machine Learning (4)
- Mass Spectrometry (4)
- Mass spectrometry data (4)
- Microbiome (4)
- Nanoparticles (4)
- sequencing (4)
- Synthetic (4)
- Synthetic Biology (4)
- Type 1 Diabetes (4)
- Genomics (3)
- Metagenomics (3)
- Spectroscopy (3)
Category
Category
Category
Category
Category
Category
Category
Viral communities detected from three large grassland soil metagenomes with historically different precipitation moisture regimes.
Category
"DNA Viral Diversity, Abundance, and Functional Potential Vary across Grassland Soils with a Range of Historical Moisture Regimes" Soil viruses are abundant, but the influence of the environment and climate on soil viruses remains poorly understood. Here, we addressed this gap by comparing the...
Category
Human infections caused by viral pathogens trigger a complex gamut of host responses that limit disease, resolve infection, generate immunity, and contribute to severe disease or death. Here, we present experimental methods and multi-omics data capture approaches representing the global host...
Category
The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
Datasets
0
"Moisture modulates soil reservoirs of active DNA and RNA viruses" Soil is known to harbor viruses, but the majority are uncharacterized and their responses to environmental changes are unknown. Here, we used a multi-omics approach (metagenomics, metatranscriptomics and metaproteomics) to detect...
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
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson PNNL DataHub NIAID Program Project: Modeling Host Responses to Understand Severe Human Virus Infections, Multi-Omic Viral Dataset Catalog Collection Background The National Institute of Allergy and Infectious Diseases (NIAID) "Modeling Host...
Category
Datasets
45