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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.

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ARS scientists/collaborators:
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Upcoming Trainings and Events

  • Using large language models (LLMs) on SCINet's supercomputers

    Large language models (LLMs), a key technology behind well-known tools like ChatGPT and Microsoft Copilot, have a multitude of applications in agricultural research. SCINet’s high-performance computing resources provide an excellent environment for research use of LLMs, and this workshop will equip you with the knowledge and tools you need to take advantage of LLM capabilities in your research.

  • Bioinformatics Foundations · Introduction to RNA-seq Analysis

    In this workshop we will provide an overview of RNA-sequencing (RNA-seq) technology and best practices for experimental design. Participants will also explore preprocessing steps, read alignment using a reference genome, and differential expression analysis using DESeq2. We will also introduce tools for functional analysis and determining the biological relevance of the results.

    • May 4, 6-7, 2026, 1 – 5 PM ET
      • Registration: Register Here
      • Prerequisites:
        • Familiarity with basic command-line concepts, next-generation sequencing data types, and have a general understanding of gene expression.

  • Bioinformatics Foundations · Genome Annotation

    Genome annotation takes raw genome assemblies and adds biologically meaningful gene models. In this two-day, hands-on workshop, participants will learn how to build, evaluate, and interpret gene models with an emphasis on understanding how gene models are built and how biological function is assigned.

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