Filter results
Category
- Biology (78)
- Scientific Discovery (78)
- Human Health (53)
- Integrative Omics (49)
- Earth System Science (25)
- Computational Research (5)
- Data Analytics & Machine Learning (5)
- Microbiome Science (5)
- Computational Mathematics & Statistics (1)
- Computational Mathematics & Statistics (1)
- Computing & Analytics (1)
- Data Analytics & Machine Learning (1)
- Materials Science (1)
- National Security (1)
Content type
Tags
- (-) Differential Expression Analysis (46)
- (-) Mass spectrometry data (31)
- (-) Soil Microbiology (22)
- (-) Machine Learning (7)
- Virology (79)
- Immune Response (53)
- Time Sampled Measurement Datasets (50)
- Gene expression profile data (47)
- Homo sapiens (34)
- Multi-Omics (30)
- Viruses (27)
- Omics (26)
- Health (23)
- Virus (23)
- MERS-CoV (18)
- Mus musculus (18)
- Mass Spectrometry (14)
- Synthetic (14)
- sequencing (13)
- West Nile virus (13)
- Genomics (12)
- Ebola (11)
- Influenza A (11)
- Metagenomics (10)
- PerCon SFA (10)
- High Throughput Sequencing (9)
- Resource Metadata (9)
- Microbiome (8)
- Proteomics (8)
- Microarray (7)
Category
Category
Category
Soil fungi facilitate the translocation of inorganic nutrients from soil minerals to other microorganisms and plants. This ability is particularly advantageous in impoverished soils, because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hotspots...
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
"Deconstructing the Soil Microbiome into Reduced-Complexity Functional Modules" The soil microbiome represents one of the most complex microbial communities on the planet, encompassing thousands of taxa and metabolic pathways, rendering holistic analyses computationally intensive and difficult. Here...
Category
Pending Review Microbiomes contribute to multiple ecosystem services by transforming organic matter in soil. Extreme shifts in the environment, such as drying-rewetting cycles during drought, can impact microbial metabolism of organic matter by altering their physiology and function. These...
A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from time-series RNA sequencing data for the discovery...
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...
"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...
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Interferon-Stimulated Response to Virus Infection Background The human host Interferon ( IFN ) alpha, beta, and gamma participate in the body's natural immune response to lethal virus infection and disease. The...
Category
Datasets
5
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Response to MERS-CoV Virus Infection Background Middle East Respiratory Syndrome coronavirus ( MERS-CoV ), part of the Coronaviridae family, is classified as a Category C priority pathogen by the National Institute...
Category
Datasets
15
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