1 Introduction
2 Defining Reproducibility
Defining reproducibility quiz
10 attempts allowed
3 Using version control with GitHub
Using version control with GitHub quiz
10 attempts allowed
4 Providing data
5 Engaging in Code Review - as an author
Engaging in code review as an author quiz
10 attempts allowed
6 Engaging in Code Review - as a reviewer
Engaging in code review as an author quiz
10 attempts allowed
7 Launching a Docker image
Launching a Docker image quiz
10 attempts allowed
8 Modifying a Docker image
Modifying a Docker image quiz
10 attempts allowed
9 Automation as a reproducibility tool
Automation quiz
10 attempts allowed
About this Course
About the Authors
References
Advanced Reproducibility in Cancer Informatics
Advanced Reproducibility in Cancer Informatics
This course is meant to equip learners with more advanced reproducibility skills they can apply to their existing analyses scripts and projects. It builds upon the concepts and skills discussed in the Introduction to Reproducibility in Cancer Informatics course.
The instructors are letting you choose the price you pay for this course!
30Readers
The instructors are letting you choose the price you pay for this course!
This course is meant to equip learners with more advanced reproducibility skills they can apply to their existing analyses scripts and projects. It builds upon the concepts and skills discussed in the Introduction to Reproducibility in Cancer Informatics course.
30Readers
About
About the Course
This course introduces tools that help enhance reproducibility and replicability in the context of cancer informatics. It uses hands-on exercises to demonstrate in practical terms how to get acquainted with these tools but is by no means meant to be a comprehensive dive into these tools. The course introduces tools and their concepts such as git and GitHub, code review, Docker, and GitHub actions.
This course will demonstrate how to:
- Become familiar with using GitHub in as a part of a analysis project workflow
- Engage in code review steps on GitHub.
- Pull and use an existing Docker image for running an analysis.
- Make data shareable.
- Write a simple Github Actions
- Obtain confidence to learn and apply additional reproducibility tools to an analysis.
Goal of this course:
To equip learners with a deeper knowledge of the capabilities of reproducibility tools and how they can apply to their existing analyses scripts and projects.
What is NOT the goal of this course:
To be a comprehensive tutorial to each of the tools shown.
Each chapter has associated exercises that you are encourage to complete in order to get the full benefit of the course. This course is designed with busy professional learners in mind – who may have to pick up and put down the course when their schedule allows.
Price
Course Price
Minimum price
Free!
$19.00
You pay
$19.00Instructors
About the Instructors
Material
Course Material
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