High-Performance Computing. Training. High-Speed Networking.
Learn MoreWhat is SCINet?
The SCINet initiative is an effort by the USDA Agricultural Research Service (ARS) to grow USDA’s research capacity by providing scientists with access to high-performance computing clusters, high-speed networking for data transfer, and training in scientific computing.
Upcoming Trainings and Events
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Geospatial Working Group · 2023 Geospatial Workshop
The SCINet Geospatial Research Working Group’s Annual Workshop is set to take place September 25-28, 2023. This year’s theme is Machine Learning and Deep Learning with Geospatial Data and will feature lightning talks, interactive tutorials, and community discussions around research topics.
Featured Stories
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Cattle Genome, Pangenome, Annotation, and FarmGTEx
FarmGTEx Consortium aims to create a comprehensive public resource for studying tissue-specific gene expression and regulation in major livestock species, including cattle, pigs, sheep, goats, and chickens.
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A Machine Learning Tool to Collapse Diet or Microbiome Data Using Taxonomic Structure
Researchers at the USDA-ARS Western Human Nutrition Research Center (WHNRC) are leveraging machine learning to uncover the molecular underpinnings of diet’s association with health.
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Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks
Dr. Michael Alcorn has been researching the potential for using spatiotemporal deep neural networks (STNNs) to model vesicular stomatitis risk through both space and time.
Find out how SCINet can enable your Research
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Working Groups
Information about how our collaborators currently use SCINet
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Fellowship Opportunities
SCINet-funded research fellowship opportunities for PhD and MS level graduates
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How to Use SCINet
Quick Start guide to getting up and running with SCINet
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Running Analyses
Guides for running different analyses
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Frequently Asked Questions
Answers to common questions asked about SCINet
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Contact Us
Find who you need to contact for specific issues or requests