Filter results
Category
- (-) Human Health (31)
- (-) Integrative Omics (1)
- Biology (34)
- Scientific Discovery (34)
- Microbiome Science (6)
- Computational Research (5)
- Data Analytics & Machine Learning (5)
- Earth System Science (4)
- Computational Mathematics & Statistics (1)
- Computational Mathematics & Statistics (1)
- Computing & Analytics (1)
- Data Analytics & Machine Learning (1)
- National Security (1)
Tags
- (-) Health (23)
- (-) Machine Learning (5)
- Virology (79)
- Immune Response (53)
- Time Sampled Measurement Datasets (50)
- Gene expression profile data (47)
- Differential Expression Analysis (46)
- Homo sapiens (34)
- Mass spectrometry data (30)
- Multi-Omics (30)
- Virus (23)
- Viruses (23)
- MERS-CoV (18)
- Mus musculus (18)
- Omics (13)
- West Nile virus (13)
- Ebola (11)
- Influenza A (11)
- Mass Spectrometry (9)
- Resource Metadata (9)
- Microarray (7)
- Human Interferon (6)
- Omics-LHV Project (6)
- Proteomics (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Biomarkers (4)
- Imaging (4)
- Mass Spectrometer (4)
- Processed Data (4)
Category
Category
Category
Category
Category
Category
Category
Omics-LHV, West Nile Experiment WCD003 The purpose of this West Nile experiment was to obtain samples for omics analysis in mouse dendritic cell response to wild-type West Nile virus (WNV). Overall Design: Mouse dendritic cells (2 x 10^5) were treated with wild-type WNV and collected in parallel...
Category
Omics-LHV, West Nile Experiment WCN004 The purpose of this West Nile experiment was to obtain samples for omics analysis in mouse cerebral cortex neurons in response to wild-type West Nile Virus (WNV; WNV-NY99 382) and mutant WNV-E218A (WNV-NY99 382) viral infection. Overall Design: Mouse cortical...
Category
Omics-LHV, West Nile Experiment WGCN004 The purpose of this West Nile experiment was to obtain samples for omics analysis in primary mouse granule neuron cells infected with wild type West Nile virus (WNV-NY99 clone 382, WNVWT) and mutant virus (WNVE218A). Overall Design: Granule cell neurons from...
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...
Category
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 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