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Introduction to Cloud Computing for Genomics

By Abigail Cabunoc Mayes, Adina Howe, Amanda Charbonneau, ammatsun, Bérénice Batut, Bob Freeman, Brittany N. Lasseigne, PhD, Caryn Johansen, Chris Fields, Darya Vanichkina, David Mawdsley, Erin Becker, François Michonneau, Greg Wilson, Jason Williams, Joseph Stachelek, Kari L. Jordan, PhD, 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.
Analysis Cloud Computing Data Education Open Scholarship Tools and Technologies Reproducibility Research Data Management Tools Researchers

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.

Link to resource: https://datacarpentry.org/cloud-genomics/

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

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