This course aims to demonstrate how Docker simplifies the use of software tools in academia for non-developers. The learning outcomes include understanding the concept of containerization, utilizing Docker for research and innovation, and improving collaboration and reproducibility in scientific projects. The course teaches skills such as working with bio containers and bioboxes, utilizing Docker for data analysis, and sharing code effortlessly. The teaching method involves real-life examples and case studies from the life science community. The intended audience for this course includes researchers, scientists, biologists, biotechnologists, and individuals in academia looking to streamline their software usage and enhance research efficiency.
Overview
Syllabus
Introduction
Galileo
Boyle
Scientist Mindset
Reproducibility Crisis
Mono Lake
Misconduct and Fraud
Containers
What is a PhD
Bio containers and bioboxes
Other projects using Docker
Taught by
Docker