Showing 16 - 30 of 54

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...

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...

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...

https://www.nih.gov/about-nih/what-we-do/mission-goals NIH’s mission is to seek fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to enhance health, lengthen life, and reduce illness and disability. The goals of the agency are: to foster...

"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...

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.

  1. Datasets

    1

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.

  1. Datasets

    1

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...

  1. Datasets

    45
The VAST Challenge 2019 presents three mini-challenges and a grand challenge for you to apply your visual analytics research and technologies to help a city grapple with the aftermath of an earthquake that damages their nuclear power plant. These challenges are open to participation by individuals...
  1. Datasets

    1
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 was generated by PNNL. Activities can be phone calls, transactions, or any other type of communications. Most of...
  1. Datasets

    7
Dr. Katrina Waters is the division director for Biological Sciences at the Pacific Northwest National Laboratory. Waters has a Ph.D. in biochemistry and more than 15 years of experience in microarray and proteomics data analysis. Her research interests are focused on the integration of genomics...

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...

This data was generated by the organization GORDIAN. Activities can be phone calls, transactions, or any other type of communications. Most of the files are of the type .csv; and can be opened in a text editor. A description of the data and how to read it can be found in the html files for the...

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...

Various graph datasets, documentation, and tools are provided here by the SDGG-MAA project. PNNL DARPA MAA Graph Dataset V1.0 (September 2017) – Three preliminary channel background graphs with and without embedded signal patterns.