Overview

As a systems administrator supporting research environments, I’ve seen firsthand how tricky reproducibility can be when software and infrastructure vary across systems. In this talk, I’ll introduce containers—specifically Docker and Singularity—as practical tools for creating consistent, portable environments that support reproducible science. Whether you're running pipelines on local machines or scaling up to HPC, containers can help make scientific workflows more reliable and easier to share.

Type of training

Virtual Webinar

Date

Intended Audience

This seminar is intended for individuals interested to learn about containerization

Go to the tutorials