Filter results
Category
- Scientific Discovery (60)
- Biology (38)
- Human Health (14)
- Earth System Science (13)
- Integrative Omics (12)
- Microbiome Science (12)
- Computational Research (10)
- Chemistry (7)
- National Security (6)
- Data Analytics & Machine Learning (5)
- Computing & Analytics (4)
- Chemical & Biological Signatures Science (2)
- Energy Resiliency (2)
- Weapons of Mass Effect (2)
- Coastal Science (1)
- Computational Mathematics & Statistics (1)
- Ecosystem Science (1)
- Energy Efficiency (1)
- Energy Storage (1)
- Plant Science (1)
- Renewable Energy (1)
- Solar Energy (1)
Tags
- Mass Spectrometry (7)
- Multi-Omics (7)
- Virology (7)
- Omics-LHV Project (6)
- Differential Expression Analysis (5)
- Gene expression profile data (5)
- Immune Response (5)
- Time Sampled Measurement Datasets (5)
- Autoimmunity (4)
- Biomarkers (4)
- Homo sapiens (4)
- Mass spectrometry data (4)
- Molecular Profiling (4)
- Omics (4)
- Synthetic (4)
- Type 1 Diabetes (4)
- Machine Learning (3)
- Mass spectrometry-based Omics (3)
- Mus musculus (3)
- Proteomics (3)
- Synthetic Biology (3)
- Biological and Environmental Research (2)
- Ebola (2)
- Human Interferon (2)
- Influenza A (2)
- MERS-CoV (2)
- PerCon SFA (2)
- Predictive Modeling (2)
- West Nile virus (2)
- Climate Change (1)
Category
Category
Category
Category
Category
Category
Dr. Nelson’s background is in genomic analysis of microbial organisms. He spent 10 years at The Institute for Genomic Research (TIGR), first as a data analyst and then as the team lead for Microbial Annotation. He was involved in some of the earliest bacterial genome sequencing projects, including...
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