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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...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Response to Ebola Virus Infection Background Ebola virus ( EBOV ) is a high risk biological agent, belonging to the Flaviviridae family, and is classified as a Category A priority pathogen by the National Institute...

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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...

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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.

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Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Response to West Nile Virus Infection Background West Nile virus ( WNV ) belongs to the mosquito-borne Flaviviridae family and is classified as a Category A priority pathogen by the National Institute of Allergy and...

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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...
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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...
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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.

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PerCon SFA, Co-Investigator Vivian Lin earned her PhD in organic chemistry from the University of California, Berkeley with Professor Chris Chang, developing fluorescent probes for imaging redox active small molecules. Afterward, she traveled to Switzerland for a postdoctoral fellowship in the...

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 2024-02-11T22:41:43+00:00 by LN Anderson Interferon Experiment IFNaHUH001 The purpose of this experiment was to evaluate the human host cellular response to treatment with and without interferon alpha/beta (IFNα/β) treatment. Sample time course data was obtained from human hepatoma...

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.
Various graph datasets, documentation, and tools are provided here by the SDGG-MAA project. PNNL DARPA MAA Graph Dataset V2.0 (October 2017) – Preliminary channel background graph with embedded signal patterns at various sizes (~7K, ~50K, and ~100K nodes). Signal patterns have also been extracted...