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Advanced Reproducibility in Cancer Informatics
Master advanced tools for reproducible cancer informatics research. Learn GitHub, code review, Docker, and automation techniques.
Course Cost
Free course
Advanced
Skill Level
9 Hours
Self-paced lessons
This course teaches advanced tools to enhance reproducibility in cancer informatics. Learn to use GitHub, conduct code reviews, work with Docker, and implement automation for more reliable and replicable data analyses.
English
What you'll learn
Master advanced version control techniques using GitHub
Conduct effective code reviews as both an author and a reviewer
Understand and implement Docker for reproducible research environments
Apply automation tools to enhance the reproducibility of data analyses
Develop strategies for improving the replicability of cancer informatics studies
Gain practical experience with reproducibility tools through hands-on exercises
Enhance the transparency and reliability of cancer research data analyses
Learn best practices for sharing and documenting cancer informatics research
Skills you'll gain
This course includes:
PreRecorded video
7 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 8 modules in this course
This course provides an advanced exploration of reproducibility tools in cancer informatics. It begins with a definition of reproducibility and its importance in scientific research. The curriculum then delves into version control using GitHub, teaching students how to create branches and pull requests. Extensive coverage is given to the code review process, both from the perspective of an author and a reviewer. The course introduces Docker, guiding students through launching and modifying Docker images. Finally, it explores automation as a tool for enhancing reproducibility. Throughout the course, hands-on exercises allow students to apply these concepts to real-world scenarios in cancer informatics research.
Getting started in this course
Module 1 · 25 Minutes to complete
Defining Reproducibility
Module 2 · 35 Minutes to complete
Version control with GitHub
Module 3 · 2 Hours to complete
Code review - as an author
Module 4 · 1 Hours to complete
Code review -- as a reviewer
Module 5 · 1 Hours to complete
Launching Docker
Module 6 · 1 Hours to complete
Modifying a Docker image
Module 7 · 1 Hours to complete
Automation as a reproducibility tool
Module 8 · 52 Minutes to complete
Fee Structure
Payment options
Financial Aid
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Faculties
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