MERS-CoV Experiment MDC001 Processed Omics Data Unavailable This experiment evaluated primary human dendritic cells infected with a wild type MERS-CoV (icMERS) virus. Related Experimental Data BioProject: PRJNA315103 GEO: GSE79172 (mRNA transcriptome response) Acknowledgment of Federal Funding The...
Filter results
Category
- Biology (7)
- Human Health (7)
- Scientific Discovery (7)
- Computational Research (5)
- Data Analytics & Machine Learning (5)
- Integrative Omics (2)
- Computational Mathematics & Statistics (1)
- Computational Mathematics & Statistics (1)
- Computing & Analytics (1)
- Data Analytics & Machine Learning (1)
- National Security (1)
Content type
Tags
- (-) Machine Learning (6)
- Virology (69)
- Immune Response (53)
- Time Sampled Measurement Datasets (50)
- Gene expression profile data (47)
- Differential Expression Analysis (46)
- Homo sapiens (34)
- Mass spectrometry data (29)
- Multi-Omics (28)
- MERS-CoV (18)
- Mus musculus (18)
- Synthetic (14)
- Viruses (14)
- Health (13)
- Soil Microbiology (13)
- Virus (13)
- West Nile virus (13)
- Ebola (11)
- Influenza A (11)
- sequencing (9)
- Omics (8)
- Resource Metadata (8)
- Metagenomics (7)
- Human Interferon (6)
- Mass Spectrometry (6)
- Omics-LHV Project (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Genomics (5)
- Microarray (5)
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...
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
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
Inclusion levels of alternative splicing (AS) events of five different varieties (i.e. skipped exon (SE), retained intron (RI), alternative 5’ splice site (A5SS), alternative 3’ splice site (A3SS), and mutually exclusive exons (MXE)) were measured in human blood samples from two separate cohorts of...
Comprised of 6,426 sample runs, The Environmental Determinants of Diabetes in the Young (TEDDY) proteomics validation study constitutes one of the largest targeted proteomics studies in the literature to date. Making quality control (QC) and donor sample data available to researchers aligns with...