Datasets
1
Filter results
Category
- (-) Integrative Omics (6)
- (-) Data Analytics & Machine Learning (3)
- Biology (12)
- Scientific Discovery (12)
- Human Health (7)
- Computational Research (3)
- Earth System Science (3)
- Chemical & Biological Signatures Science (2)
- Microbiome Science (2)
- National Security (2)
- Weapons of Mass Effect (2)
- Chemistry (1)
Content type
Tags
- (-) Proteomics (5)
- (-) Mass spectrometry-based Omics (4)
- Virology (57)
- 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)
- MERS-CoV (18)
- Mus musculus (18)
- West Nile virus (13)
- Ebola (11)
- Influenza A (11)
- Omics (9)
- Resource Metadata (9)
- Mass Spectrometry (7)
- Human Interferon (6)
- Microarray (6)
- Omics-LHV Project (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Machine Learning (5)
- Biomarkers (4)
- Mass Spectrometer (4)
- Molecular Profiling (4)
- Imaging (3)
- metabolomics (3)
- Microscopy (3)
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
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
Biography Ernesto Nakayasu is a senior research scientist focused on understanding molecular mechanisms of diseases. Nakayasu has been applying systems biology and mass spectrometry-based omics measurements to study how pathogens and metabolic alterations cause human diseases; the goal is to...
Category
Last updated on 2024-03-21T18:47:20+00:00 by LN Anderson MPLEx Method Protocol for Integrative Single-Sample Processing for Subsequent Proteomic, Metabolomic, and Lipidomic Analyses Method Source Contributions LN Anderson , Data Curation The Metabolite, Protein and Lipid Extraction (MPLEx) method...
Category
Last updated on 2024-03-03T02:26:52+00:00 by LN Anderson The Thermo Scientific™ Q Exactive™ Plus Mass Spectrometer benchtop LC-MS/MS system combines quadruple precursor ion selection with high-resolution, accurate-mass (HRAM) Orbitrap detection to deliver exceptional performance and versatility...
Last updated on 2024-03-03T02:26:52+00:00 by LN Anderson The Thermo Scientific™ Velos Pro™ Orbitrap Mass Spectrometer instrument data source combines advanced mass accuracy with an ultra-high resolution Orbitrap mass analyzer for increased sensitivity, enabling molecular weight determination for...
Bruker Daltonics SolariX Magnetic Resonance Mass Spectrometry (MRMS) instruments are available for different magnetic field strengths of 7T, 12T and 15T. The SolariX XR and 2xR instruments use magnetron control technology and a newly developed, high sensitivity, low noise preamplifier to exploit...