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...
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...
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...
This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
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...
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...
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...
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...
This data was generated by the organization IvySys. Activities can be phone calls, transactions, or any other type of communications. Most of the files are of the type .edges, .rdf, or .csv; but all can be opened in a text editor. A good introduction to this data can be found in \Tutorial1\MAA...
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson MERS-CoV Experiment MHAE002 The purpose of this experiment was to evaluate the human host response to wild-type MERS-CoV (strain EMC-2012) virus infection. Sample data was obtained from primary human microvascular endothelial cells (HMVE) for...
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson MERS-CoV Experiment MHAE003 The purpose of this experiment was to evaluate the human host response to wild-type MERS-CoV (strain EMC-2012) infection. Sample data was obtained from primary human airway epithelial cells (HAE) for mRNA...
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson MERS-CoV Experiment MM001 The purpose of this experiment was to evaluate the host response to wild-type MERS-CoV virus infection. Sample data was obtained from primary mouse (strain C57BL/6J) whole lung for mRNA, proteomics, metabolomics, and...