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Advanced Reproducibility in Cancer Informatics 

  • Offered byCoursera
  • Public/Government Institute

Advanced Reproducibility in Cancer Informatics
 at 
Coursera 
Overview

Duration

10 hours

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Advanced Reproducibility in Cancer Informatics
Table of contents
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Advanced Reproducibility in Cancer Informatics
 at 
Coursera 
Highlights

  • Flexible deadlines in accordance to your schedule.
  • Earn a Certificate upon completion
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Advanced Reproducibility in Cancer Informatics
 at 
Coursera 
Course details

Skills you will learn
GITVersion ControlPythonR
More about this 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.
  • Target Audience
  • The course is intended for students in the biomedical sciences and researchers who use informatics tools in their research. It is the follow up course to the Introduction to Reproducibility in Cancer Informatics course. Learners who take this course should:
  • - Have some familiarity with R or Python
  • - Have take the Introductory Reproducibility in Cancer Informatics course
  • - Have some familiarity with GitHub
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Advanced Reproducibility in Cancer Informatics
 at 
Coursera 
Curriculum

Getting started in this course

Defining Reproducibility

Version control with GitHub

Using version control with GitHub

Code review - as an author

Code review as an author

Code review as a reviewer

Launching Docker

Launching Docker

Modifying a Docker image

Automation as a reproducibility tool

Automation

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Advanced Reproducibility in Cancer Informatics
 at 
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