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High-Performance Computing.
Training.
High-Speed Networking.

What 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.

Get Started with SCINet

ARS scientists/collaborators:
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Upcoming Trainings and Events

  • Bioinformatics Foundations · Automating Bioinformatics Pipelines with Nextflow

    This hands-on workshop introduces Nextflow, a workflow management system built for scalable, reproducible computational pipelines that can run seamlessly across laptops, HPC clusters, and cloud environments. Starting from simple examples, we’ll progressively build toward a real-world bioinformatics pipeline — learning how Nextflow’s dataflow programming model and channel-based design enable elegant parallel processing of multiple files, portable integration of tools via containers and modules, and production-ready pipelines that follow nf-core community best practices.

  • Bioinformatics Foundations · Automating Bioinformatics Pipelines with Snakemake

    This hands-on workshop introduces Snakemake, a workflow management system that brings the readability of Python to scalable, reproducible computational pipelines. We will start with simple examples and build to a real-world bioinformatics pipeline — learning how Snakemake’s rule-based, file-driven approach automatically determines job dependencies, handles parallel execution, and integrates seamlessly with Python scripts and virtual environments to produce publication-ready outputs.

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Featured Stories

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Find out how SCINet can enable your research

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Explore Use Cases

Genomics

Explore the Ag100Pest Initiative

Geospatial

SCINet for geospatial research

Hydrology

Advanced computing capabilities to run watershed, erosion, and hydrodynamic simulation models.

Plant Breeding

The USDA’s National Plant Germplasm System maintains the world’s foremost collection of crop diversity.