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.
Upcoming Trainings and Events
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Omics Webinar · Decoding Plant Complexity with Single-Cell Technology
To recieve an invitation to upcoming webinars, fill out the Translational Omics Working Group registration survey.
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Introduction to Bioinformatics
This workshop provides an overview of bioinformatics covering applications, sequencing technologies, and basic workflows. Participants will also explore various file formats in bioinformatics and gain hands-on experience using NCBI’s BLAST web tool to perform sequence alignments and interpret results.
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Introduction to HPC Environments and Project Management and Organization
This workshop provides hands-on training in using SCINet’s high-performance computing (HPC) clusters for bioinformatics workflows. Participants will learn how to access and navigate SCINet’s systems as well as command line basics for managing and analyzing bioinformatics data including running BLAST and handling FASTA and FASTQ files. The workshop also covers project management and organization strategies to improve data organization and workflow efficiency.
Featured Stories
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High-Performance Computing Facilitates Improved Understanding of Phenotypic Plasticity in Maize
In maize and other crops, important traits are often complex, affected by genetics, the environment, and their interaction. In addition, different crop varieties exhibit varying degrees of phenotypic plasticity, in which a given genotype displays different phenotype values in different environments.
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SCINet as a Resource for Safeguarding and Advancing ARS's Biological Collections
Across the USDA’s Agricultural Research Service (ARS) there are nealy 100 biological collections containing millions of preserved and viable specimens including animal tissues, seeds, fungal cultures, plant accessions, pinned insects, and viral isolates. These specimens and the data about them document and support ARS research efforts and are an integral part of delivering on the Agency’s mission.
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Monte Carlo simulations on Atlas for soil content determinations
The Monte Carlo Method, or multiple probability simulation, is a mathematical technique used to estimate possible outcomes of uncertain events. The Monte Carlo Method was applied for nuclear problems by John von Neumann and Stanislaw Ulam during work on the Manhattan Project.
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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Need Help?
Find who you need to contact for specific issues or requests