About this resource

    Type of resources
    Module
    Education level(s)
    Graduate / Professional
    Primary user(s)
    student, teacher
    Subject area(s)
    Computer Science, Information Science, Measurement and Data
    Language(s)
    English
    Cluster
    Transparency and Reproducibility in Computation and Analysis
    Last updated
    29 October 2026
    Module

    Introduction to Cloud Computing for Genomics

    By Abigail Cabunoc Mayes, Adina Howe, Amanda Charbonneau, ammatsun, Bérénice Batut, Bob Freeman, Brittany N. Lasseigne, Caryn Johansen, Chris Fields, Darya Vanichkina, David Mawdsley, Erin Becker, François Michonneau, Greg Wilson, Jason Williams, Joseph Stachelek, Kari L. Jordan, Katrin Leinweber, Maxim Belkin, Michael R. Crusoe, Piotr Banaszkiewicz, Raniere Silva, Rémi Emonet, Renato Alves, Stephen Turner, Taylor Reiter, Thomas Morrell, Tracy Teal, vuw-ecs-kevin, William L. Close

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    Level Graduate / Professional · For student, teacher · Language English

    Abstract

    Data Carpentry lesson to learn how to work with Amazon AWS cloud computing and how to transfer data between your local computer and cloud resources. The cloud is a fancy name for the huge network of computers that host your favorite websites, stream movies, and shop online, but you can also harness all of that computing power for running analyses that would take days, weeks or even years on your local computer. In this lesson, you’ll learn about renting cloud services that fit your analytic needs, and how to interact with one of those services (AWS) via the command line.

    Keywords Analysis · Cloud Computing · Data · Education · Open Scholarship Tools and Technologies · Reproducibility · Research Data Management Tools · Researchers